Senior GenAI/Python Engineer — Chicago, IL

Job Description

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 GCP acceptable.

• Strong written and verbal communication skills, with ability to collaborate directly with engineering teams, product owners, and cross-functional stakeholders.

Roles & Responsibilities

• 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.

Salary Range-$90,000-$130,000 a year

TCS Employee Benefits Summary

Discretionary Annual Incen tive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.