Job Details
Sr Python Gen AI Engineer
Long Term Contract
100% Remote
Generative AI Engineering
- Design and implement LLM-powered applications including RAG pipelines, agentic workflows, and tool-use integrations
- Build and maintain MCP servers and multi-agent orchestration patterns
- Integrate foundation models (OpenAI, Anthropic, Azure OpenAI) and embedding models for enterprise use cases
- Develop and iterate on prompt engineering strategies and GenAI evaluation frameworks to ensure output quality and reliability
Python Development
- Build scalable, maintainable backend services and APIs using FastAPI
- Write clean, well-tested, production-ready Python code following engineering best practices
- Optimize application performance, observability, and reliability across services
- Participate actively in code reviews and contribute to raising overall code quality
Collaboration
- Work closely with architects, tech leads, product managers, and cross-functional teams to translate requirements into working solutions
- Participate in sprint ceremonies, PI planning, and technical discussions
- Document technical designs, API contracts, and solution approaches clearly
Innovation
- Stay current with developments in GenAI, LLM tooling, and the broader AI ecosystem
- Propose and prototype new approaches that improve product capabilities or engineering efficiency
- Apply responsible AI practices including hallucination mitigation, data privacy considerations, and output validation
Required Qualifications
- 6+ years of software engineering experience with 2+ years focused on Generative AI or ML engineering
- Strong proficiency in Python and async frameworks, preferably FastAPI
- Hands-on experience with LLMs, RAG architectures, vector databases (e.g., Pinecone, pgvector, Azure AI Search), and agent frameworks such as LangChain or LlamaIndex
- Working knowledge of cloud platforms, preferably Azure (AKS, Azure OpenAI)
- Experience with MCP, tool-use patterns, or multi-agent workflows is a strong plus
Preferred Qualifications
- Exposure to data or analytics-heavy domains such as retail, FMCG, or market intelligence
- Familiarity with Snowflake, MongoDB, or PostgreSQL as data backends for AI applications
- Experience working in SAFe or Agile delivery environments
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior