Description

Key Responsibilities

• Build AI agents using agentic loop patterns (plan → act → observe → improve)
• Develop execution harnesses to integrate agents with APIs, tools, and enterprise systems
• Design context pipelines including RAG, memory management, and prompt strategies
• Implement AI solutions across SDLC workflows such as code generation, testing, and PR review
• Develop backend services and APIs for agent systems using Python/FastAPI or TypeScript
• Integrate LLMs, vector databases, and enterprise systems
• Handle orchestration, reliability, and scalability of agent infrastructure
• Deploy solutions on cloud platforms (AWS preferred)
• Ensure monitoring, logging, and performance optimization across deployed systems

Required Skills

• Strong Python (backend) or TypeScript development experience
• Hands-on experience with LLMs: OpenAI, Azure OpenAI, or Claude
• Proficiency with LangChain, LangGraph, or similar agentic frameworks
• Experience with Semantic Kernel
• Knowledge of RAG and vector databases
• Backend API development using FastAPI or equivalent
• Cloud deployment experience, preferably AWS

Preferred Skills

• Experience with SDLC automation and AI-assisted code generation or review
• Familiarity with observability tools for LLM systems

Key Skills

Education

Not specified