Machine Learning Engineer (Generative AI + Full-Stack Development)

Machine Learning Engineer (Generative AI + Backend/Systems)

Stack: Python (+ optional .NET)

Location: Riga (full-time). 
Company: JE Riga — full-cycle custom software product development since 2007, with deep domain expertise in reinsurance, insurance, financial services, and more.

Role

We’re looking for a Machine Learning Engineer focused on Generative AI and backend systems. You’ll design, build, and deploy scalable AI-driven applications, with a strong focus on agentic systems, RAG pipelines, and production-grade AI workflows.

This role is primarily Python-first, with .NET used where needed for integration into existing systems.

Responsibilities

• Design and build backend services and AI systems using Python (APIs, agents, pipelines, workers).
• Contribute to existing backend components (including .NET where required).
• Generative AI & Agent Systems:
  • Design agentic workflows (tool/function calling, memory, planning).
  • Develop and manage prompts, guardrails, and structured outputs.
  • Implement evaluation pipelines (LLM-as-judge, golden datasets, A/B testing). 
  • Ensure high standards in testing (unit, integration, prompt evals) and CI/CD.
    
  • Collaborate with stakeholders to deliver reliable, measurable AI features.
  • Work with relational and vector databases (schema design, embeddings, indexing).
  • Add observability (latency, cost, quality) and safety mechanisms.
  • Integrate with AI providers (Azure OpenAI/OpenAI, Anthropic, Mistral, etc.).
  • Build RAG pipelines and context retrieval systems.

Requirements

• Strong backend engineering experience with:   
  
  • Python (primary) for AI/ML systems and services
  • .NET (secondary / nice to have) for integration scenarios
    
• Practical experience with Generative AI:
  • Prompt engineering, structured outputs, tool/function calling
    
  • RAG design and optimization
• Familiarity with frameworks such as:
  • LangChain, Semantic Kernel, AutoGen, CrewAI, Guidance
    
• Experience with evaluation & observability tools:
  

• • Langfuse, LangSmith, Phoenix, promptfoo, DeepEval, TruLens

• Solid understanding of:
  
  • SQL databases (PostgreSQL, SQL Server) 
    
  • Experience with APIs, async programming, Git, CI/CD
  • Vector databases (pgvector, Pinecone, Qdrant)
• Cloud & infra:
  

• • Azure/AWS/GCP
    
  • Docker (Kubernetes is a plus)

• Strong English communication skills.

Nice to Have

• Experience integrating AI into enterprise systems (.NET ecosystems)
• Cost optimization for AI workloads- Experience in insurance/finance or similar domains
  
• AI security & compliance
• Distributed systems or background processing

What We Offer

• A stable role with strong professional growth opportunities.
• Salary range: 3500-6000 EUR Gross per month, depending on experience.
• Supportive and collaborative team culture.
• Health insurance, flexible working hours, and modern office space.
• Company-sponsored certifications, training programs, and online courses.