Agentic AI Engineer

Role         ::         Agentic AI Engineer

Location ::          Boston, MA (4 Days Onsite)

Type        ::          Fulltime

Job Description

Experience Required - 4+ Years

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