AI Engineer – Python, LLM/GenAI, RAG, AWS & AI Agents
Core
Design, develop, and implement production-ready generative AI solutions, RAG pipelines, and autonomous AI agents within CI/CD workflows on AWS.
Role type
Senior IC AI Engineer (GenAI/LLM/RAG)
Builds
Production AI agents, RAG pipelines, MCP servers, and automated code generation/fixing systems
Domain
Cloud-native Generative AI and DevSecOps
Deliverable
production ML models
Required skills
Python, LLMs and Generative AI, RAG pipeline engineering, MCP server development, Agentic workflows, Vector databases, AWS services, Application security, CI/CD integration
Preferred skills
CI/CD tools (GitHub, Jenkins, Harness), Security tools (Snyk, SonarQube), Containerization and orchestration (Docker, Kubernetes), Security automation, Automated testing and deployment gates
Technologies
Python, OpenAI, Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, Vector databases, Docker, Kubernetes, GitHub, Jenkins, Harness, Snyk, SonarQube
Responsibilities
Design and implement AI agents and architecture in CI/CD workflows; Build and maintain generative AI applications; Develop RAG pipelines with vector databases; Develop MCP servers and integrate enterprise tools; Build agentic workflows for task planning and tool use; Apply Python engineering practices for scalable solutions; Support code generation and fixing using LLMs; Integrate AI solutions with security and testing frameworks; Evaluate AI solution performance metrics
Seniority
Senior, hands-on IC
