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Agentic AI Engineer-6

Boston, Massachusetts 02108 Posted March 2nd, 2026

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Job Type: Full Time

Job Category: IT

Job Description

Role - Agentic AI Engineer
Location - Boston, MA (ONSITE)
Experience – 5+
Type - Full Time

Job Description
Must Have Technical/Functional Skills

    Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI

    Proficiency in Python and modern AI/ML frameworks, AWS

    Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime

    Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)


Roles & Responsibilities

    Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.


Key Responsibilities

    Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment

    Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime

    Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs

    Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda

    Instrument agents with CloudWatch metrics, spans, and traces; enable audits

    Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions

    Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact


Required Skills & Experience

    Strong problem-solving and strategic thinking abilities

    Strong collaboration skills in research-driven environments

    Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime

    Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)

    Proficiency in Python and modern AI/ML frameworks

    Proficiency in vector databases and embedding models for retrieval tasks

    Experience with Data Connectors and API gateways that support seamless communication between systems

    Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets

    Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation

    Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI

    Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms


Required Skills

DEVOPS ENGINEER

SENIOR EMAIL SECURITY ENGINEER

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