• Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
• Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
• Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
• Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
• Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
  
  

• Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects.
• Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting.
• Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery.
• Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience.
• Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios.
• Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team.
• Contribute to a creative, communicative, and results-driven remote work culture.
  
  

• Exceptional command of written and spoken English, with an ability to craft precise and lively scripts.
• Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications.
• Outstanding writing and editing skills with sharp attention to detail and narrative flow.
• Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments.
• Demonstrated initiative and adaptability in fast-paced, iterative projects.
• Passion for AI technologies and their applications in natural language and voice.
• Ability to synthesize feedback to continuously improve script and prompt quality.
  
  

• Background in linguistics, creative writing, journalism, or related fields.
• Experience working with AI or machine learning teams in content development.
• Familiarity with diverse voice acting genres or multilingual scripting.

About Amigo

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.

About this role

The Applied AI Engineer role at Amigo is a launchpad. You'll ship production AI agents end-to-end — writing the code, shaping product decisions, and sitting with customers as they deploy — and in doing so, you'll build the exact skill set that opens doors to the next chapter of your career at Amigo.

This role is designed to help you grow into other parts of the company. Applied AI Engineers move into one of four paths within 6–12 months:

• Applied AI: stay in the org; go deeper on agent architecture, verification frameworks, and the hardest customer problems; become a technical leader on the applied team

• Product Management: if you gravitate toward roadmap, discovery, and shaping what we build next

• Sales Engineering: if you thrive in pre-sales, technical storytelling, and closing enterprise deals

• Software Engineering: if you want to go deeper on platform, infrastructure, and core systems

You won't have to guess which fits. This role will actively help you explore each path, give you projects that stretch in those directions, and sponsor the internal transition when you're ready. People who want to stay on the applied side long-term can do that too — but this role is explicitly built so you don't have to.

What you'll do

• Implement context graphs that enable agents to select the right reasoning mode (lookup, pattern recognition, exploration) based on problem complexity

• Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems

• Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules

• Implement verification loops and simulation-based testing to validate agent performance against customer KPIs

• Write Python code for tool integrations and API orchestration within customer environments

• Build evaluation suites that gate deployments using customer-specific success metrics

• Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols

• Support technical power users through git-based workflows for rapid iteration

• Implement adversarial testing to systematically identify and prevent failure modes

• Ensure agents maintain audit-ready provenance with version pinning and evidence links

• Contribute to systematizing implementation patterns across different problem domains

What we're looking for

• 2+ years of production software engineering experience

• Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation)

• Experience with LLMs, prompt engineering, and building on AI platforms

• Ability to implement systems with strict reliability requirements

• Understanding of testing and verification methodologies

• Experience working directly with customers or stakeholders to deliver technical solutions

• Familiarity with git workflows and collaborative development

• Strong debugging and problem-solving skills for complex systems

• Ability to balance theoretical concepts with practical implementation constraints

• Clear technical communication for both engineering and non-technical audiences

Nice to have

• Experience in regulated industries (healthcare, finance, legal)

• Background with simulation, synthetic data, or evaluation frameworks

• Understanding of distributed systems and service-oriented architectures

• Experience with observability and monitoring in production environments

• Familiarity with compliance requirements (HIPAA, SOC 2, GDPR)

Benefits

Health & Wellness

• Comprehensive health, dental, and vision insurance

• Daily catered lunch and dinner

• Mental health support and wellness coaching

• Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Annual team offsite

• Academic collaboration opportunities

• Unlimited PTO

Our Core Values

1. Patients Win, We Win

   If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

2. High Standards, High Care

   We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

3. Thoughtful Urgency

   We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

4. Intensely Measured

   We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.

Who Builds With Us

• Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.

• Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.

• High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.

• Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.

• Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.

• Location: Remote

• Type: Contract / Part-time

• Commitment: 20 hours per week

• Compensation: Up to 40 USD / hr

• Project duration: 2 months, with potential extension

• Availability: Immediate start

About the role

We create high-quality STEM training data for frontier AI models used by leading AI labs to improve model reasoning in scientific domains.

We are seeking experts in Biology to create challenging, deterministic problems with exactly one verifiable correct answer. Problems should reflect authentic scientific and analytical workflows and be submitted with complete, verified solutions.

Depending on specialization, work may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or adjacent quantitative biology fields.

What you’ll do

• Design advanced biology problems that challenge frontier AI systems

• Create deterministic tasks with one correct answer

• Submit complete, verified solutions

• Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows

• Use Python and, when relevant, specialized biology or bioinformatics tools

• Ensure high standards of rigor, reproducibility, and technical clarity

What we’re looking for

• Bachelor's, Master’s or PhD in Biology or a related life sciences field

• Research or industry experience involving computational or quantitative biological analysis

• Strong Python skills; experience with data analysis or bioinformatics workflows preferred

• Strong reasoning ability and comfort with multi-step scientific problem solving

• Ability to create original, difficult problems grounded in real biological practice

• Clear written English and strong attention to detail

Nice to have

• Experience with bioinformatics toolkits, genomics workflows, structural biology tools, or computational biology methods

• Experience designing technical assessments or scientific challenge problems

• Cross-disciplinary experience spanning biology and computation

Help us use technology to make a big green dent in the universe!

Kraken powers some of the most innovative global developments in energy.

We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.

It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.

You’ll join our AI Foundry team — a small, expert group focused on solving high-impact problems for the business by building production-grade internal AI tooling.

We're looking for a Senior Machine Learning Engineer where your work will span the full lifecycle: exploring solutions, validating value with stakeholders, rapidly prototyping, and taking systems to production (and keeping them healthy). You’ll work closely with product, backend engineers, and operational stakeholders to deliver tools that directly improve how we serve clients and run Kraken.

Example initiatives you may contribute to include:

- An LLM-powered assistant for internal knowledge and discovery

- Summarising code changes to support client delivery and decision-making

- Helping teams assess and accelerate client migrations

• Build and ship LLM-powered internal tools that improve knowledge access, reduce time spent on discovery, and support client delivery outcomes
• Take ownership of projects end-to-end: problem framing → experimentation → engineering → production deployment → monitoring and iteration
• Design and operate LLM systems in the real world (quality, latency, cost, reliability), including strong evaluation practices and fast feedback loops
• Use classic ML / data science skills to complement LLM approaches where appropriate (e.g., ranking, classification, analytics, measurement)
• Work hands-on in a Python-first ecosystem to build services, pipelines, and tooling that are maintainable, testable, and production-ready
• Collaborate closely with backend engineers, product, and internal users (including Client Delivery Leads) to define MVPs, iterate quickly, and drive adoption
• Contribute to a culture of strong engineering practices, pragmatic experimentation, and continuous learning

• Proven experience using LLMs in production (beyond a proof of concept) - you can clearly explain what shipped, what users needed, and how you managed trade-offs
• Strong end-to-end delivery experience: you’ve taken ML/LLM work into production and owned it beyond launch
• Solid data science and analysis skills: you’re comfortable working with large datasets, defining metrics, evaluating system performance, and diagnosing failures
• High proficiency in Python (this is the core language across our data and ML stack)
• Comfort operating in ambiguity: you can move from a fuzzy problem to a clear plan, validate assumptions quickly, and iterate

• Experience with AWS, and deploying/operating systems using Docker and/or Kubernetes
• Familiarity with the Python data/ML ecosystem (e.g., Pandas, PyTorch)
• Experience building internal tooling used by operational teams, and driving adoption through iteration and feedback
• Exposure to large codebases and cross-team collaboration in product-led engineering environments

Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5 and in Germany we rate 4.7 on Kununu as a Top Company. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here.

Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

Who will love this job

• A Deep Learning practitioner - you are eager to unlock the potential of deep learning for various applications
• A generalist - you have experience and the ability to perform a wide variety of software engineering tasks, which are necessary to develop, deploy, and monitor a new software application. 
• A collaborator - you are able to work with multiple teams to find the best way to use data to provide value to customers and will do everything needed to make that happen
• An entrepreneur - someone whose values align with our vision on how A.I. can assist in the hiring process.

What you'll do

• Develop software applications with a strong focus on machine learning
• Train deep learning models using PyTorch and Transformers and experiment with (new) techniques to reduce their memory footprint, speed them up, or increase their accuracy
  
  Please mention the word **SMOOTHES** and tag ROjox when applying to show you read the job post completely (#ROjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Join a team that’s transforming mental healthcare. Founded by psychiatrists, Headlight is more than a company: it’s a movement. A movement that exists on the front lines of the mental health crisis, transforming the way people access care and the way clinicians deliver it. In order to help people in their time of need and ensure that every person who comes to us has options, we are transparent about our capabilities, treatments, and coverage, we champion innovation, and we leverage our rich data to continuously implement better ways of delivering care. Our mission is simple but powerful: Improving lives, one session at a time. 

Our highly skilled and principled clinical team enjoys autonomy and institutional support so they can put their focus where it should be: on improving patient outcomes. Our clinicians want to do more than help individual clients, so they work to affect the system as a whole, elevating standards of care so that their efforts reverberate far beyond what they could do in private practice.

As the most trusted behavioral health partner in the Western U.S., we’ve established deep relationships that give us unparalleled access, interoperability, and first-priority referrals. This exclusivity, combined with our best-in-class coordinated care and feedback loops, results in superior outcomes and cost savings.

Our services are convenient, accessible, and expert, combining personalized client engagement with advanced technology to enhance, not replace, human connection. Indeed, we hold that human-to-human relationships are indispensable, so from the match to the session to the time between sessions, we provide whole person care so nobody falls through the cracks and there is a brighter path forward for all.

• Make things easier.
• Forge genuine connections.
• Elevate the standard.

• Own and continuously improve clinician and employee onboarding and enablement programs, ensuring they are effective, scalable, and aligned to clinical and business needs.
• Design, facilitate, and iterate on high-quality virtual and blended learning experiences for clinical and non-clinical audiences, applying adult learning best practices.
• Develop, maintain, and update training content and resources (e.g., guides, job aids, recordings, and LMS courses) to support evolving systems, workflows, and learner needs.
• Serve as a subject-matter expert for clinical systems and internal tools (including the EHR), providing advanced training, office hours, and consultative support to drive proficiency and adoption.
• Partner with clinicians, subject matter experts, and cross-functional stakeholders to identify learning needs, co-create training solutions, and prioritize initiatives based on impact.
• Administer and optimize the Learning Management System (LMS), including course structure, reporting, and learner experience, using data and feedback to inform continuous improvement.
• Support the operational and administrative aspects of Learning & Development, including scheduling and coordinating trainings, managing calendars and communications, and responding to learner questions and requests.
• Manage multiple initiatives and stakeholders independently in a fast-paced environment, exercising sound judgment, ownership, and accountability.
• Other duties as assigned.

• Competitive salary and benefits package. 
• Opportunity to work in a cutting-edge healthcare technology environment. 
• Professional development opportunities and training. 
• Collaborative and supportive work culture. 
• Impactful role contributing to the enhancement of patient care and healthcare processes. 

If you need any accommodations for your interview please email HR@headlight.health prior to scheduling.

Not meeting all the requirements? Research indicates that women, communities of color, and historically underrepresented individuals are often hesitant to apply for jobs unless they meet every qualification. We are committed to cultivating a diverse, inclusive, and genuine workplace. If you're enthusiastic about this position but your previous experience doesn't precisely match every qualification listed, we enthusiastically encourage you to submit your application. You could be the ideal candidate for this role or others!

Headlight is committed to the principles of diversity, equity, and inclusiveness and seeks to create a working environment reflective of this commitment. We seek to provide a diverse clinician base to support the diversity of our clients. Headlight supports and respects diversity of people, culture, and ideas throughout our organization. Headlight thrives to be a welcoming, diverse and discrimination- and harassment-free workplace.

By applying for this position, you consent to receive future communications from Headlight via email or text regarding this application and related employment opportunities. You may opt-out at anytime by contacting us directly.

Job Postings on Indeed and other job boards may post with total compensation (base + bonus). For the exact base salary range please check our website or our job-site

• Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects.
• Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting.
• Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery.
• Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience.
• Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios.
• Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team.
• Contribute to a creative, communicative, and results-driven remote work culture.
  
  

• Exceptional command of written and spoken English, with an ability to craft precise and lively scripts.
• Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications.
• Outstanding writing and editing skills with sharp attention to detail and narrative flow.
• Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments.
• Demonstrated initiative and adaptability in fast-paced, iterative projects.
• Passion for AI technologies and their applications in natural language and voice.
• Ability to synthesize feedback to continuously improve script and prompt quality.
  
  

• Background in linguistics, creative writing, journalism, or related fields.
• Experience working with AI or machine learning teams in content development.
• Familiarity with diverse voice acting genres or multilingual scripting.

About Fullscript

We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.

Join us and shape the future of care.

The role

We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.

This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.

What you'll do

• Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
• Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use
• Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
• Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
• Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
• Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
• Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
• Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
• Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
  
  

What you bring to the table

• 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
• A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
• Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production
• Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks
• Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability
• Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems
• Strong proficiency in Python and SQL
• Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems
• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders
  
  

Bonus if you have

• Experience defining technical direction for AI or machine learning systems across multiple projects or teams
• Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
• Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
• Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
• Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
  
  

What we can offer you:

AI Developer

Location: Remote | Experience Level: 2–3 years

Highstreet is developing next-generation agentic AI solutions that empower our public sector and education (SLED) clients to achieve real-world business outcomes. We are seeking an AI Developer who is eager to apply technical and creative thinking to the design, testing, and implementation of intelligent agents that drive innovation, efficiency, and compliance across enterprise environments.

Key Responsibilities

•Design, develop, and test AI agents to support business objectives and improve operational outcomes.

•Integrate agents with enterprise data sources, APIs, and workflows to ensure seamless functionality.

•Translate evolving AI capabilities into actionable business and sales use cases.

•Monitor the AI landscape and deliver quarterly capability assessments to identify emerging technologies and opportunities.

•Apply hands-on development skills in Python, Java, and SQL, including experience with systems design, database integration, and scalable agent architecture.

•Use PowerFx and JSON to structure agent schemas and configurations.

•Ensure all AI solutions align with SLED cybersecurity and compliance requirements.

•Apply prompt engineering and agentic workflow design to enhance reliability and alignment of AI systems.

•Experiment with and evaluate new AI services to expand Highstreet’s solution portfolio.

•Define and manage data governance boundaries, maintaining clarity around public vs. private data sources.

•Collaborate closely with senior analysts and solution architects to transform ideas into deployable solutions.

Qualifications

•2–3 years of experience in software development or applied AI.

•Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline.

•Basic proficiency with LLM-based tools or workflow automation frameworks.

•Strong communication, curiosity, and problem-solving skills with an ability to adapt quickly in a fast-paced environment.

•Passion for artificial intelligence, innovation, and ongoing learning.

Preferred Experience (Nice to Have)

•Hands-on academic or portfolio projects involving LLMs, RAG, or intelligent workflow automation.

•Familiarity with LLMOps tools such as Semantic Kernel, LangChain, or vector databases.

•Knowledge of Copilot Agent Studio and Microsoft 365 Copilot.

Why Join Highstreet

•Make an Impact: Your work directly advances AI adoption across public and education sectors.

•Grow Your Career: Collaborate with industry experts and strengthen your skills in AI and Oracle Cloud technologies.

•Be Recognized: Creativity, initiative, and performance are celebrated and rewarded.

•Progressive Environment: Experience a modern, flexible workplace culture built for collaboration and growth.

•Career Development: Clear pathways for advancement within a high-performing team.

•Comprehensive Benefits: Competitive salary, bonus plan, 401(k) match, unlimited PTO, and full medical coverage.

• Qué ofrecemos
  
  

• Funciones principales
  
  

• Requisitos
  
  

• Planificar y ejecutar actividades educativas adaptadas a las necesidades individuales de cada estudiante.
• Brindar acompañamiento y seguimiento personalizado del progreso académico y personal.
• Fomentar un ambiente seguro, inclusivo y respetuoso.
• Identificar necesidades específicas de los estudiantes y proponer soluciones pedagógicas.
  
  

• Formación en Educación, Pedagogía, Psicopedagogía o áreas relacionadas.
• Experiencia previa en atención a personas con dependencia o necesidades educativas especiales (deseable).
• Habilidad para diseñar y adaptar materiales educativos según las necesidades individuales.
  
  

• Flexibilidad horaria
• Opción de teletrabajo: da clases online o presenciales
• Salario: 15€ a 30€/hora

About Radformation

Radformation is transforming the way cancer clinics deliver care. Our innovative software automates and standardizes radiation oncology workflows, enabling clinicians to plan and deliver treatments faster, safer, and more consistently, so patients everywhere can receive the same high-quality care.

Our software focuses on three key areas:

• Time savings through automation.
• Error reduction through automated systems.
• Increased quality care through advanced algorithms and workflows.

We are a fully remote, mission-driven team united by a shared goal: to reduce cancer’s global impact and help save more of the 10 million lives it claims each year. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patient’s treatment quality depends on where they live.

Why This Role Matters

In this role you will help advance Radformation’s AI-driven radiotherapy products by building and improving machine learning models that directly impact clinical workflows and patient outcomes.

You will work closely with AI, cloud, research, and product teams to develop scalable data pipelines, improve model performance, and support regulatory submissions for medical device software.

Responsibilities Include:

• Design, build, and maintain robust ETL pipelines to support AI model development and deployment.
• Develop, train, and optimize machine learning models used in radiotherapy software.
• Collaborate with product and research teams to bring new AI-driven features and algorithms into production.
• Support FDA submissions by contributing to documentation, validation, and regulatory processes.
• Participate in design reviews, risk analyses, and cross-functional discussions to ensure safe and effective products.
• Mentor junior engineers and data scientists and contribute to a collaborative team environment.

Required Experience:

• MS in Computer Science, Mathematics, Statistics, or a related field with 3+ years of experience.
• Expert-level proficiency in Python.
• Hands-on experience building, training, and tuning machine learning models.
• Strong experience with PyTorch and/or TensorFlow.
• Experience developing convolutional neural networks, including U-Net architectures.
• Experience using Git and modern code repositories (GitHub, Bitbucket, Azure DevOps, etc.).

Preferred Experience:

• Experience with medical imaging and image processing techniques (segmentation, resampling, smoothing).
• Familiarity with clinical data standards such as DICOM or HL7.
• Experience working in regulated environments (HIPAA, FDA, or medical device software).
• Experience with modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).

AI & Hiring Integrity

At Radformation we believe AI can be an incredible tool for innovation, but our hiring process is all about getting to know you, your skills, experience, and unique approach to problem solving. We ask that all interviews and assessments be completed without tools that generate answers in real time. This helps ensure a fair process for everyone and allows us to see your authentic work. Using such tools during the process may affect your candidacy.

Benefits & Perks — What Makes Us RAD

We care about our people as much as we care about our mission. We offer competitive compensation, benefits, and the opportunity to make an impact in the fight against cancer. The salary range for this role is $160,000 - $200,000 USD base, plus bonus eligibility.

For US teammates (via TriNet):

Health & Wellness

• Multiple high-quality medical plan options with substantial employer contributions toward premiums, often covering the full cost depending on the plan selected.
• Health coverage starting on day one
• Short-term and long-term disability and supplementary life insurance

Financial & Professional Growth

• 401(k) with employer match vested immediately
• Annual reimbursement for professional memberships
• Conference attendance and continued learning opportunities

Work-Life Balance & Perks

• Self-managed PTO and 10 paid holidays
• Monthly internet stipend
• Company-issued laptop and one-time home office setup stipend
• Fully remote work environment with virtual events and yearly retreats, because we like to have fun while doing work that matters

For global teammates (via Deel):
At Radformation, we want every team member to feel supported, no matter where they live. For teammates outside the US, we provide benefits that align with local laws and standards, working with our Employer of Record (EOR) partners to ensure fairness and equity. This means your benefits package will be locally compliant, competitive, and designed to support your health, financial security, and work-life balance.

Our Commitment to Diversity

Cancer affects people from every walk of life, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity workplace and an affirmative action employer. We welcome candidates from all backgrounds and are committed to fostering an inclusive environment for all employees.

Agency & Candidate Safety Notice

Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. We do not partner with third-party recruiters unless explicitly stated. All legitimate communication from Radformation will come from an @radformation.com email address. If you receive outreach from another domain or via unofficial channels, please contact careers@radformation.com.

Viseven Group — міжнародна MarTech компанія, що спеціалізується на інтерактивному контенті та хмарних рішеннях для глобальних фармацевтичних компаній з 2009 року. Постійне зростання та саморозвиток закладені в нашій корпоративній ДНК. Наші унікальні розробки та підходи активно використовуються більш ніж у 50 країнах світу. Рішення Viseven представлені на великих галузевих заходах у Барселоні, Філадельфії, Лондоні тощо.

Команда, яка швидко зростає, включає понад 700+ висококваліфікованих технічних і нетехнічних експертів: front- і back-end розробників, BA фахівців та менеджерів, які створюють, локалізують і налаштовують програми у офісах по всьому світу: Житомир (Україна), Таллінн (Естонія), Нью-Делі (Індія), Бриджвотер (США).

• Співпрацювати з галузевими експертами для визначення бізнес-потреб та трансформації їх у чіткі й ефективні промпти для LLM.
• Розробляти, тестувати та вдосконалювати промпти для різних сценаріїв використання, забезпечуючи високу точність і релевантність згенерованих результатів.
• Оперативно виявляти та усувати проблеми й помилки, пов’язані з промптами.
• Проєктувати багатокрокові промпт-воркфлоу, включаючи агентні патерни (agentic patterns), виклики інструментів (tool calling) та рішення на основі retrieval-augmented generation (RAG).
• Тісно співпрацювати з розробниками програмного забезпечення для інтеграції LLM-рішень у продукт.
• Визначати та підтримувати якісні й кількісні метрики оцінки результатів LLM (зокрема точність, релевантність, безпечність, затримку, вартість).
• Брати участь у розробці масштабованого фреймворку для prompt engineering з метою повторного використання рішень та обміну знаннями між бізнес-напрямами.
• Допомагати у зборі та аналізі зворотного зв’язку користувачів для постійного підвищення ефективності промптів.
• Відстежувати розвиток технологій LLM та брати участь у стратегічному виборі інструментів і платформ.
• Документувати процеси prompt engineering, кращі практики та результати впровадження для формування структурованої бази знань.

• Ступінь бакалавра у сфері комп’ютерних наук, інженерії, математики або суміжній галузі та щонайменше 4 роки досвіду в AI/ML, NLP або прикладних системах на базі LLM.
• Практичний досвід роботи з системами на основі LLM, включаючи RAG, embeddings, function/tool calling та orchestration-фреймворки.
• Досвід роботи з інструментами на кшталт моделей GPT від OpenAI, Hugging Face тощо.
• Досвід оцінювання результатів LLM та аналізу типових помилок (галюцинації, витік промптів, крайові сценарії тощо).
• Впевнене володіння Python або іншими мовами програмування, що використовуються в AI/ML-розробці.
• Розвинені аналітичні здібності та уважність до деталей.
• Відмінні комунікаційні навички, здатність пояснювати складні технічні концепції нетехнічним стейкхолдерам.
• Уміння працювати в команді та адаптуватися до змін у вимогах проєкту.
• Рівень володіння англійською мовою — Upper-Intermediate або вище.

• Work as part of a small team to bake each morning, following carefully crafted recipes
• Work alongside your team to keep the bakery clean, and contribute to a great customer experience
• Be responsible for reading production schedules and recipes, measuring and mixing ingredients, moulding and shaping dough, and processing everything through the ovens
  
  

• You are an early riser who can work independently or as part of a small team
• You have pride in what COBS offers the community
• You have a great attitude and good organizational skills
• You share in a commitment to the success of your team, the bakery, and to your own development
  
  

• Continuous standing/walking for all tasks
• Frequent lifting and carrying up to 22 kg
• Frequent turning and reaching
• Occasional pushing, pulling and some forward bending
• Ability to lift at least 2.5 kg to a height of 1.7 meters
• Constant use of both hands, with frequent wrist rotation and flexing, occasional forceful gripping
  
  

• The satisfaction of baking from scratch, and pride in sharing that product with the community
• A fun team work environment with flexible hours
• Our training program - Continue to develop your baking and leadership skills through our Bronze and Silver baker Development Qualification program
• Career advancement opportunities - We have a stake in helping passionate team members grow and have more impact in the business and community
• Complimentary products on us every shift
• And more, including benefits for all full time employees