Lead Python AI Engineer
Core
Build robust, AI-powered API services and agentic workflows connecting traditional backend systems with modern language models, vector databases, and external tools.
Role type
Lead Python AI Engineer (Backend)
Builds
Scalable backend API services, LLM orchestration layers, and RAG pipelines
Domain
Cloud-native backend engineering with Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python, Microservices, AWS, Docker, ECS/EKS, RESTful APIs, Secure coding, Authentication/Authorization, Agent frameworks (LangChain, LlamaIndex, LangGraph), AI SDKs (OpenAI, Anthropic, AWS Bedrock), Vector databases, Embedding strategies, Retrieval systems
Preferred skills
React, TypeScript, EKS scaling, Agent interoperability (MCP), Identity/Security models (IAM, CIAM), Java, Node.js, Go
Technologies
AWS, OpenSearch, Docker, LangChain, LangGraph, LangSmith, Langfuse, Arize, Amazon Kendra, MCP, RAG
Responsibilities
Own API contracts and service reliability end-to-end; Integrate language models with evaluation and observability; Create reusable orchestration frameworks; Design and build scalable backend API services and LLM orchestration layers; Develop and maintain complex RAG pipelines; Develop and connect agent tools; Ensure enterprise-grade security and observability; Contribute to architecture decisions
Seniority
Lead, hands-on IC with architectural contribution