Remote Python Jobs in Argentina

Requerimientos del cargo

• 4+ years in AI/ML-focused roles delivering software products to production.
• Hands-on experience with LLMs (OpenAI, Claude, Mistral or open-source alternatives).
• Experience with AI agent frameworks and/or agentic architectures.
• Strong knowledge of prompt engineering, embeddings and vector databases.
• Experience designing and implementing RAG architectures.
• Experience testing and evaluating AI systems and LLM-powered applications.
• Strong Python skills and experience building APIs with FastAPI, Django or similar frameworks.
• Production experience with at least one major cloud platform (AWS, GCP or Azure).
• Experience with Docker, Kubernetes and Terraform.
• Solid software engineering fundamentals: testing, code reviews, Git, modular design and maintainable code.
• Experience deploying, monitoring and maintaining AI systems in production.
• Hands-on experience with LangChain and Transformers.
• Ability to work autonomously and communicate effectively with both technical and non-technical stakeholders.
• Professional English.

Funciones del cargo

You'll join an AI & Data team as a senior engineer, working independently while collaborating closely with engineering and product teams. You'll design and implement LLM-based solutions such as RAG systems, AI agents, copilots and other generative AI applications. You'll fine-tune, evaluate and deploy both proprietary and open-source foundation models, and build scalable APIs and services that integrate AI into applications. You'll own the full lifecycle of AI features, from experimentation and prototyping through deployment and monitoring. You'll work with DevOps on CI/CD and infrastructure as code, and implement observability, error tracking and performance monitoring for AI systems. You'll also contribute to AI architecture discussions, share knowledge and mentor other engineers, and look for new opportunities to bring AI into products. Success means going beyond prototypes: reliable, observable AI features running in production and delivering real business value.

Opcionales

• MLOps practices and model deployment workflows.
• AI evaluation and testing tools such as Promptfoo, Giskard or similar.
• Experience with multi-agent systems.
• Experience identifying and implementing AI use cases within digital products.

Condiciones

• 00% remote position for candidates based in Latin America (Brazil, Argentina, Uruguay and Colombia preferred).
• Full-time, direct hire with the client company.
• Flexible working schedule.
• Continuous learning and professional development opportunities.
• Access to modern AI technologies and development tools.
• Collaboration with experienced professionals across different technical disciplines.
• Challenging AI projects and production-grade solutions.
• Selection process: HR Interview → Technical Challenge → Technical Interview → Offer.

You bring:

• - 5+ years of data engineering experience with deep production expertise in Amazon Redshift or Redshift Serverless.
• - Advanced SQL and demonstrated query tuning on large datasets.
• - Hands-on experience with S3, Glue, Lambda, IAM, and Redshift Spectrum.
• - Experience with Airflow, dbt, Glue, or similar ETL/ELT tools.
• - C1 English and the ability to work independently with stakeholders.

You will:

• - Review the current Redshift setup and identify performance, cost, reliability, and design issues.
• - Tune distribution keys, sort keys, compression, queries, and Workload Management.
• - Build and maintain ETL/ELT pipelines using Redshift and the AWS data stack.
• - Improve analytics-ready data models and document the changes and operating practices.

Nice to have:

• Python, dbt, product analytics data pipelines, and experience in fintech or another regulated industry. These qualifications are optional.

Benefits

Contract: 1 to 2 weeks, full-time. Remote in LATAM, excluding Argentina and Brazil, with overlap with U.S. Eastern Time. Compensation starts at USD 25 per hour.

What You Must Bring

• 5+ years building production software, with real production experience in Angular, C#/.NET, and Python — depth in at least two of the three.
• At least one feature or product area you owned from requirements through production, which you can walk through in detail.
• Production experience with a relational database (we use PostgreSQL) including schema design and query performance.
• Comfortable defining and writing requirements yourself, in English, for a technical and non-technical audience.
• Working proficiency with AI coding tools as part of your daily workflow.

The Role: Own Your Area End-to-End

You will own features end-to-end across the full stack: Angular UI, .NET APIs and data models, and Python automation where your area touches our LLM pipelines.

One thing is non-negotiable. You must own the business requirements for your area and proactively maintain its product backlog. We will give you acceptance criteria, but you are expected to know your domain well enough to spot the gaps, propose the next features, and keep your backlog groomed without being asked. If you want fully-specified tickets handed to you, this role is not a fit.

A routine week: you ship a feature across Angular, .NET, and Python; you write or sharpen the acceptance criteria for the next one; you prune and reprioritize your backlog based on what shipping just taught you; you flag the requirement that no longer makes sense before anyone builds against it.

Success is measured on two axes: features shipped working in production, and the health of your backlog — whether the next most valuable thing in your area is already defined when it's time to build it.

Nice to Have

• EF Core, Temporal (or similar workflow engines), or Google Cloud.
• Building on LLM APIs: extraction pipelines, agents, or evaluation harnesses.
• Experience in fintech, M&A, or other data-heavy B2B domains.
• Prior startup experience where you were the only owner of an area.

Compensation and Benefits

We pay competitively for the LATAM market and we’re transparent about it.

• Time off: Manage your own schedule. We trust you.
• Health: $150/month health and wellness stipend.
• Engagement: B2B contract. 30-day mutual notice.

How we work

• Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
• Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
• Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
• Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.

Job Title: Software Engineer - Business AutomationLocation: Remote. Eligible countries: Mexico, Colombia, Argentina, Brazil, Chile, Peru, Costa Rica, Uruguay, South Africa, Kenya, Nigeria, Ghana, Egypt, Morocco, Rwanda.Compensation: Confirmed during the hiring process.Work Schedule: Approximately 8:00 AM-1:00 PM US Eastern overlap.Contractor Note: Independent contractor position.Company Overview:Sagan connects experienced international professionals with US-based businesses.About the Role:We are recruiting professionals for Software Engineer - Business Automation opportunities based on current sourcing requirements. Final engagement terms are confirmed during hiring.Position Overview:Build, debug and maintain production business automations and reliable integrations.Key Responsibilities:- Build, debug and maintain production business automations and reliable integrations.- Work with APIs, code-based syncs, internal tools and team workflows.- Support data operations, deduplication and enrichment workflows.Qualifications:- Hands-on ownership of production business automations using Zapier, Make, n8n, Power Automate, or code-based API workflows; builds, debugs, and maintains reliable integrations used by a team.- Clear English communication for US business collaboration.Additional Relevant Experience:- Builds and maintains code-based automations such as Cloudflare Workers, JavaScript/TypeScript, or Python sync/data pipelines with APIs; version control and CI/CD experience preferred.- Experience with Slack bots / Events API or similar internal tooling that posts updates and answers team queries.- Data ops comfort: Airtable or Sheets syncs, fuzzy matching / dedupe, and enrichment tools (e.g. Clay) for large contact databases.- Available remote with roughly 8am–1pm US Eastern overlap; clear spoken English for async and live collaboration.Resume Submission Guidelines:Paste your complete English resume into the Sagan application form, with at least 1,000 characters. PDF upload is optional. Native board applications may require a board account and resume upload.How to Apply:Complete the linked role application and highlight the experience listed above. Use the same email if you have applied to Sagan previously.

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