> Markdown version of [/jobs/ext/1921905-genai-python-engineer](https://www.wearedevelopers.com/jobs/ext/1921905-genai-python-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI / Python Engineer - **Company:** Tata Consultancy Services Limited - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Amazon Web Services, Confluence, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Security, Database Queries, Django Web Framework, JSON, Python (Programming Language), Regression Testing, Search Technologies, Google Cloud, Flask (Web Framework), Large Language Models, Snowflake, Prompt Engineering, Generative AI, Git, Fastapi, Pytest, Virtual Agents, Api Design, Docker, Web Api, Microservices - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/426fcaac-5ca2-4ac5-b8d6-d490e63ef82f ## About the Role Must Have Technical/Functional Skills * 5+ years of advanced professional Python development experience with production-grade coding practices. * Strong hands-on experience writing clean, tested, maintainable code using typing, pytest, packaging standards, Git, CI/CD, Docker, and code review discipline. * 1.5+ years of hands-on experience building GenAI / LLM applications in production using OpenAI, Azure OpenAI, Anthropic, Bedrock, or similar model APIs. * Experience building LLM-powered agents, including intent classification, domain-specific agents, agentic extraction flows, and multi-step orchestration. * Hands-on experience with Agentic AI frameworks or patterns such as LangChain, LangGraph, LlamaIndex, function calling, tool use, or custom orchestration. * Strong experience in structured output extraction from LLMs using JSON schema enforcement, Pydantic, retry/repair strategies, and validation logic. * Experience with RAG and vector search concepts including embeddings, chunking, hybrid search, reranking, entity resolution, fuzzy matching, confidence thresholds, and disambiguation flows. * Working knowledge of vector databases or search platforms such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake vector functions, or equivalent. * Strong API development experience using FastAPI or similar frameworks such as Flask or Django. * Experience with async Python and orchestration of parallel LLM/API calls. * Strong SQL skills and comfort working with large analytical datasets. * Cloud environment experience, preferably Azure; AWS or Google Cloud Platform acceptable. * Strong written and verbal communication skills, with ability to collaborate directly with engineering teams, product owners, and cross-functional stakeholders. ## Description * Build and enhance LLM-powered agentic applications using Python. * Develop intent classification, domain-specialist agent workflows, and agentic extraction pipelines for complex user questions. * Build natural-language-to-structured-payload pipelines that convert user utterances into accurate JSON query payloads, including filters, exclusions, rankings, and metric selection. * Integrate semantic search and vector retrieval services for embedding-based entity resolution, fuzzy matching, confidence scoring, and disambiguation flows. * Design, build, and consume FastAPI-based microservices. * Implement async orchestration patterns for parallel LLM calls, API calls, and downstream service integrations. * Develop prompt engineering patterns, structured output enforcement, JSON schema validation, function calling, tool usage, and guardrails. * Build evaluation harnesses, test sets, and regression test frameworks to measure extraction accuracy and validate prompt/model changes. * Work with metadata/catalog services, entitlement-aware data access, and reporting-engine payload contracts. * Collaborate with multiple platform, data, service, and product teams to deliver production-ready GenAI capabilities. * Write clear technical documentation including Confluence pages, ADRs, sequence diagrams, and flow diagrams. * Participate in hands-on technical evaluation, code reviews, design discussions, and production readiness reviews. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)