Senior AI Engineer
Experience and Skills
- Senior-level experience with 5+ years in software or AI engineering.
- C1 English level or higher.
- Strong Python programming skills with FastAPI or an equivalent framework.
- Production experience with LLM platforms such as OpenAI, Anthropic, Amazon Bedrock, or Azure OpenAI.
- Experience designing APIs and microservices.
- Experience deploying and operating services on AWS or another major cloud platform.
- Experience with REST APIs, backend services, CI/CD, and infrastructure as code.
- Hands-on experience debugging, stabilizing, and scaling production AI systems.
- Hands-on experience with Cloud Deployment, Production Operations.
Skills
- Python
- FastAPI
- LLMs
- OpenAI
- Anthropic
- Amazon Bedrock
- Azure OpenAI
- REST APIs
- Microservices
- AWS
- Cloud Deployment
- CI/CD
- Infrastructure as Code
- Production Operations
- Azure
Key Responsibilities
- Design, build, and improve AI-driven systems, including agent-based workflows.
- Develop and integrate AI capabilities through REST APIs and backend services.
- Debug, refactor, and stabilize AI and LLM systems operating in production.
- Deploy, monitor, and operate AI services in the cloud using CI/CD and infrastructure as code.
- Work with engineers to reduce technical debt and resolve operational issues incrementally.
- Communicate progress, risks, and technical trade-offs clearly to product, engineering, and leadership stakeholders.
- Take ownership of practical delivery, system reliability, and long-term maintainability.
Nice to Have
- C#
- .NET
- LangGraph
- LlamaIndex
- LangChain
- MCP
- Docker
- Kubernetes
- ECS
- CloudWatch
- Prometheus
- Grafana
- Semantic Search
- Embeddings
- Vector Databases
- Textract
- Azure Document Intelligence
- pytest
- Playwright
- RabbitMQ
- Kafka
- Redis
Benefits
We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.