Python GenAI

Role: Python GenAI Location: Remote Mode: Contract We are looking for a Senior Engineer with strong hands-on expertise in Python and Generative AI to design, build, and deliver production-grade AI-powered solutions. This is a core individual contributor role focused on technical depth, quality engineering, and active collaboration within a cross-functional team. 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