Agentic AI Developer

Job Title: Agentic AI Developer

Location: Boston MA
Experience Required: 6 Years
Employment Type:Contract

Position Overview

We are seeking an innovative Agentic AI Developer with strong expertise in large language models (LLMs) agentic frameworks and cloud-native AI architectures.

The ideal candidate will design build and optimize agentic AI capabilities leveraging AWS Bedrock modern AI frameworks and multi-agent orchestration to deliver intelligent production-ready AI solutions.

Key Responsibilities

Agentic AI Architecture & Development

• Design and build agentic AI solutions using advanced reasoning frameworks and large language models.

• Develop serverless agentic product architectures on AWS leveraging Bedrock services such as:

  • AgentCore Memory

  • Gateway

  • Identity

  • Interpreter

  • Observability

  • Runtime

Multi-Agent Systems & Integration

• Implement and manage A2A/MCP servers on AWS and integrate with Bedrock Agents and Converse APIs.

• Orchestrate multi-agent workflows using Strands Agents and deploy solutions to EKS or AWS Lambda.

• Implement observability using CloudWatch metrics spans and traces for monitoring and auditing.

Generative AI & LLM Development

• Fine-tune and evaluate large language models.

• Develop prompt engineering strategies and evaluation frameworks.

• Build AI systems leveraging:

  • Retrieval-Augmented Generation (RAG)

  • Agentic workflows

  • Structured and unstructured data training pipelines.

Collaboration & Innovation

• Work closely with product managers data engineers and UX teams to deliver production-ready AI applications.

• Contribute to the AI innovation roadmap and align development initiatives with organizational objectives.

• Drive experimentation and rapid prototyping in fast-paced research and innovation environments.

Required Skills & Experience

• 6 years of experience in AI/ML engineering or software development.

• Strong proficiency in Python and modern AI/ML frameworks.

• Hands-on experience with AWS Bedrock AgentCore (Memory Gateway Runtime).

• Experience with LLM fine-tuning prompt engineering and model evaluation.

• Experience with vector databases and embedding models for retrieval tasks.

• Experience integrating systems using API Gateways and Data Connectors.

• Strong analytical and problem-solving skills.

• Ability to work collaboratively in research-driven environments.

Preferred Skills

Agent Frameworks

Experience with one or more of the following:

• Semantic Kernel

• LangGraph

• LangChain Agents

• CrewAI

• Strands Agents

AI Platforms

Experience with enterprise AI ecosystems such as:

• OpenAI

• Azure AI Foundry

• Google Gemini

• Anthropic

• Microsoft Copilot / Copilot Studio

• AWS AI Services

Core Competencies

Agentic AI LLM Engineering AWS Bedrock Multi-Agent Systems RAG Python Vector Databases Prompt Engineering AI Observability Cloud-Native AI