Senior GenAI & Python Engineer: Build Production LLMs

Tata Consultancy Services; Los Angeles (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Discretionary incentive

Medical coverage

Parental leaves

401K plan

Job summary

Tata Consultancy Services in Los Angeles is seeking an experienced Python developer to build production-grade GenAI/LLM applications. You will architect agentic pipelines, integrate semantic search, and deliver FastAPI microservices. Strong emphasis on JSON schemas, vector databases, and scalable async orchestration.

The role requires 5+ years of Python, 1.5+ years in GenAI/LLM production, and excellent collaboration with cross-functional teams. Competitive salary and comprehensive benefits.

Qualifications

• 5+ years of advanced Python development experience.

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.

Skills

Python development

Testing & CI/CD

GenAI / LLM apps

Agentic AI patterns

LangChain/LangGraph

JSON schema validation

Vector search

FastAPI

Async Python

SQL proficiency

Tools

Git

Docker

pytest

CI/CD

OpenAI API

Pydantic

FastAPI

Job description

Tata Consultancy Services in Los Angeles is seeking an experienced Python developer to build production-grade GenAI/LLM applications. You will architect agentic pipelines, integrate semantic search, and deliver FastAPI microservices. Strong emphasis on JSON schemas, vector databases, and scalable async orchestration.

The role requires 5+ years of Python, 1.5+ years in GenAI/LLM production, and excellent collaboration with cross-functional teams. Competitive salary and comprehensive benefits.