Agentic AI Developer – Python
Job Title: Agentic AI Developer – PythonLocation: Boston, MAAbout the RoleWe are looking for a skilled Python developer with deep expertise in building autonomous AI agent systems. You will design, develop, and deploy agentic AI solutions that leverage large language models (LLMs) to autonomously plan, reason, and execute complex tasks using tool integrations and multi-agent orchestration.Key ResponsibilitiesDesign and develop AI agents using Python frameworks such as PydanticAI, LangGraph, LangChain, CrewAI, or AutoGenBuild multi-agent workflows with planning, reasoning, reflection, and tool-use capabilitiesIntegrate agents with enterprise tools via Model Context Protocol (MCP), REST APIs, and SDKsDevelop and deploy agentic applications on AWS Bedrock AgentCore and/or Azure OpenAIImplement RAG (Retrieval-Augmented Generation) pipelines for grounding agent responsesDesign structured outputs using Pydanticmodels for validation and schema enforcementBuild evaluation frameworks (LLM-as-Judge, unit testing, compiler validation) for agent qualityImplement observability, tracing, and monitoring for agent workflows in productionCollaborate with platform engineering, security, and DevOps teams for production deploymentApply responsible AI principles, guardrails, and security controls to agent systemsRequired Qualifications5+ years of hands-on Python development experience2+ years experience with LLM-based application development (prompt engineering, chains, agents)Strong proficiency in Python frameworks: FastAPI, Pydantic, asyncioExperience with at least one agentic AI framework: PydanticAI, LangGraph, LangChain, CrewAI, AutoGen, or Semantic KernelWorking knowledge of LLM APIs: OpenAI, AWS Bedrock, Azure OpenAI, AnthropicExperience building RAG systems with vector databases (Pinecone, Weaviate, FAISS, OpenSearch)Familiarity with MCP (Model Context Protocol) for tool/service connectivityUnderstanding of agent patterns: ReAct, function calling, tool use, planning/decomposition, multi-agent orchestrationExperience with CI/CD pipelines, Git, containerization (Docker/Kubernetes)Cloud platform experience: AWS (Bedrock, Lambda, SageMaker, DynamoDB) and/or Azure (OpenAI, Cognitive Services, Cosmos DB)