Agentic AI Developer
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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
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Design and build agentic AI solutions using advanced reasoning frameworks and large language models.
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Develop serverless agentic product architectures on AWS leveraging Bedrock services such as:
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AgentCore Memory
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Gateway
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Identity
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Interpreter
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Observability
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Runtime
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Multi-Agent Systems & Integration
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Implement and manage A2A/MCP servers on AWS and integrate with Bedrock Agents and Converse APIs.
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Orchestrate multi-agent workflows using Strands Agents and deploy solutions to EKS or AWS Lambda.
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Implement observability using CloudWatch metrics spans and traces for monitoring and auditing.
Generative AI & LLM Development
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Fine-tune and evaluate large language models.
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Develop prompt engineering strategies and evaluation frameworks.
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Build AI systems leveraging:
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Retrieval-Augmented Generation (RAG)
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Agentic workflows
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Structured and unstructured data training pipelines.
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Collaboration & Innovation
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Work closely with product managers data engineers and UX teams to deliver production-ready AI applications.
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Contribute to the AI innovation roadmap and align development initiatives with organizational objectives.
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Drive experimentation and rapid prototyping in fast-paced research and innovation environments.
Required Skills & Experience
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6 years of experience in AI/ML engineering or software development.
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Strong proficiency in Python and modern AI/ML frameworks.
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Hands-on experience with AWS Bedrock AgentCore (Memory Gateway Runtime).
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Experience with LLM fine-tuning prompt engineering and model evaluation.
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Experience with vector databases and embedding models for retrieval tasks.
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Experience integrating systems using API Gateways and Data Connectors.
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Strong analytical and problem-solving skills.
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Ability to work collaboratively in research-driven environments.
Preferred Skills
Agent Frameworks
Experience with one or more of the following:
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Semantic Kernel
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LangGraph
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LangChain Agents
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CrewAI
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Strands Agents
AI Platforms
Experience with enterprise AI ecosystems such as:
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OpenAI
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Azure AI Foundry
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Google Gemini
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Anthropic
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Microsoft Copilot / Copilot Studio
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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
