Tech Chapter Lead – Python, AWS, LLM Engineering & Microservices
Core
Hands-on engineering leadership for the Process Intelligence Engine (PIE) squads, designing and shipping scalable cloud-native solutions with integrated LLM capabilities.
Role type
Senior IC Tech Chapter Lead (Python, AWS, LLM Engineering)
Builds
Production-ready microservices, LLM-powered workflows, and event-driven processing systems for enterprise process intelligence.
Domain
Cloud-native engineering, Large Language Models (LLM), Microservices, Process Intelligence
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI, AWS cloud-native services, Enterprise LLM integration, LangGraph, Microservices, Docker, CI/CD, Redis, Asynchronous/event-driven processing, React/TypeScript
Preferred skills
Semantic/vector search, Speech/transcript processing, LLM evaluation frameworks, Reusable engineering patterns, People management
Technologies
AWS (ECS, S3, DynamoDB, SQS, Secrets Manager, IAM, ALB, Bedrock, AI Gateway), FastAPI, LangGraph, React, TypeScript, Redis, Docker, JFrog, SonarQube
Responsibilities
Provide hands-on technical leadership and manage engineering resources; Design, build, test, and ship Python-based microservices and LLM workflows; Establish engineering patterns, coding standards, and quality expectations; Review implementations and pull requests for correctness and scalability; Mentor engineers and guide technical decisions; Troubleshoot complex technical issues across applications and AI-enabled services.
Seniority
Senior, hands-on IC with management responsibilities
