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Agentic AI Developer – Python

Boston
|5 years of exp
|Full Time

Posted: 3 days ago• Recruiter recently active

Job Location

Boston

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

Git

Planning

DevOps

Security

DynamoDB

REST APIs

Azure

LAMBDA

Monitoring

Docker

Unit Testing

MCP

AWS

react

Kubernetes

Platform Engineering

Asyncio

openAI

Pinecone

Cosmos DB

Observability

FastAPI

Faiss

Pydantic

Responsible AI

CI/CD Pipelines

SDKs

Decomposition

OpenSearch

Cognitive Services

SageMaker

Tracing

LangChain

Azure OpenAI

Vector Databases

Weaviate

RAG

AutoGen

AWS Bedrock

Function Calling

Langgraph

Security Controls

CrewAI

Semantic Kernel

Anthropic

pydanticAI

Tool Use

Guardrails

Multi-Agent Orchestration

AWS Bedrock AgentCore

LLM-As-Judge

Compiler Validation

About the job

Job Title: Agentic AI Developer – Python

Location: Boston, MA

About the Role

We 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 Responsibilities

Design and develop AI agents using Python frameworks such as PydanticAI, LangGraph, LangChain, CrewAI, or AutoGen
Build multi-agent workflows with planning, reasoning, reflection, and tool-use capabilities
Integrate agents with enterprise tools via Model Context Protocol (MCP), REST APIs, and SDKs
Develop and deploy agentic applications on AWS Bedrock AgentCore and/or Azure OpenAI
Implement RAG (Retrieval-Augmented Generation) pipelines for grounding agent responses
Design structured outputs using Pydanticmodels for validation and schema enforcement
Build evaluation frameworks (LLM-as-Judge, unit testing, compiler validation) for agent quality
Implement observability, tracing, and monitoring for agent workflows in production
Collaborate with platform engineering, security, and DevOps teams for production deployment
Apply responsible AI principles, guardrails, and security controls to agent systems

Required Qualifications

5+ years of hands-on Python development experience
2+ years experience with LLM-based application development (prompt engineering, chains, agents)
Strong proficiency in Python frameworks: FastAPI, Pydantic, asyncio
Experience with at least one agentic AI framework: PydanticAI, LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel
Working knowledge of LLM APIs: OpenAI, AWS Bedrock, Azure OpenAI, Anthropic
Experience building RAG systems with vector databases (Pinecone, Weaviate, FAISS, OpenSearch)
Familiarity with MCP (Model Context Protocol) for tool/service connectivity
Understanding of agent patterns: ReAct, function calling, tool use, planning/decomposition, multi-agent orchestration
Experience with CI/CD pipelines, Git, containerization (Docker/Kubernetes)
Cloud platform experience: AWS (Bedrock, Lambda, SageMaker, DynamoDB) and/or Azure (OpenAI, Cognitive Services, Cosmos DB)