Senior GenAI & Python Engineer - Production-Grade AI

Apptad Inc; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

Apptad Inc. in Chicago, IL seeks a senior Python developer to build GenAI-powered agentic applications. You will design domain-specific agents, extract structured payloads, and integrate vector search and semantic retrieval into production services.

You will implement robust JSON schemas, testing, and async orchestration within FastAPI-based microservices, collaborating with cross-functional teams to deliver scalable GenAI capabilities.

Qualifications

• 5+ years of Python development experience.
• Strong tested code with typing, pytest, packaging, Git, CI/CD, Docker.
• 1.5+ years building GenAI/LLM apps in production.
• Experience building LLM-powered agents and multi-step orchestration.
• Experience with LangChain/LlamaIndex or similar.
• Strong JSON schema validation and error handling.
• SQL skills for large analytical datasets.

Responsibilities

• Build and enhance LLM-powered agentic applications using Python.
• Develop intent classification and workflows for domain-specific agents.
• Create pipelines converting user utterances to structured JSON payloads.
• Integrate semantic search and vector retrieval for entity resolution.
• Design, build, and consume FastAPI-based microservices.
• Implement async orchestration for parallel LLM/API calls.
• Develop prompt engineering patterns, validation, and guardrails.
• Collaborate with platform, data, service, and product teams.
• Write technical docs and participate in code reviews.

Skills

Python

GenAI/LLM

Async Python

JSON schema

Unit testing

Docker

CI/CD

SQL

Git

OpenAI

FastAPI

Tools

LangChain

LlamaIndex

Weaviate

Pinecone

pgvector

OpenSearch

Job description

Apptad Inc. in Chicago, IL seeks a senior Python developer to build GenAI-powered agentic applications. You will design domain-specific agents, extract structured payloads, and integrate vector search and semantic retrieval into production services.

You will implement robust JSON schemas, testing, and async orchestration within FastAPI-based microservices, collaborating with cross-functional teams to deliver scalable GenAI capabilities.