Agentic AI Developer

Job Title: Agentic AI Developer

Location: Onsite - Minneapolis MN
Employment Type:Contract

Role Overview

We are seeking a highly skilled Agentic AI Developer to design build and optimize agentic AI capabilities using large language models (LLMs) and advanced reasoning frameworks. This role is hands-on and innovation-focused centered on building production-grade serverless and multi-agent systems on Amazon Web Services with deep integration into Bedrock AgentCore services.

The ideal candidate has strong technical depth in agent frameworks LLMs cloud-native architectures and observability and thrives in fast-paced research-driven environments.

Key Responsibilities

Agentic AI Architecture & Development

• Design build and optimize agentic AI systems leveraging LLMs and advanced reasoning frameworks.

• Develop serverless cloud-native agent architectures using AWS Bedrock AgentCore services including Memory Gateway Identity Interpreter Observability and Runtime.

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

Multi-Agent Orchestration

• Orchestrate multi-agent workflows and plans using Strands Agents and similar frameworks.

• Deploy agentic workloads to AWS Lambda or Amazon EKS ensuring scalability and resilience.

LLM Engineering & RAG

• Work hands-on with LLMs including fine-tuning evaluation and prompt engineering.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

• Train and adapt LLMs using structured and unstructured datasets.

Observability Reliability & Security

• Instrument agents with CloudWatch metrics logs spans and traces to support observability and auditing.

• Ensure reliability traceability and compliance of agentic systems in production environments.

Collaboration & Delivery

• Collaborate closely with product managers data engineers UX designers and platform teams to deliver production-ready AI solutions.

• Execute against the AI roadmap ensuring solutions align with organizational goals and demonstrate measurable business impact.

Required Skills & Experience

• Strong experience designing and building agentic AI systems using modern agent frameworks such as:

  • Semantic Kernel

  • LangGraph

  • LangChain Agents

  • CrewAI

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

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

• Deep experience with LLMs (prompt engineering fine-tuning evaluation).

• Experience with vector databases and embedding models for retrieval use cases.

• Solid understanding of RAG agentic workflows and AI system orchestration.

• Experience with API gateways and data connectors for system-to-system communication.

• Strong problem-solving skills and ability to operate independently in research-driven environments.

• Excellent communication skills with the ability to clearly present ideas and influence stakeholders.

Preferred / Nice to Have

• Experience with Copilot Studio Semantic Kernel extensions Azure AI Foundry Google Gemini Anthropic OpenAI or equivalent platforms.

• Exposure to Microsoft 365 / M365 Copilot integrations.

• Prior experience building enterprise-scale AI platforms with governance and auditability.

Key Competencies

• Strong ownership and builder mindset

• Ability to operate in ambiguity and rapidly prototype ideas

• Passion for innovation and AI-driven transformation

• Collaboration across engineering product and design teams

• Focus on production readiness observability and impact

Technical Skills

Agentic AI AWS Bedrock AgentCore Python LLMs Prompt Engineering RAG Vector Databases LangChain LangGraph Semantic Kernel CrewAI CloudWatch EKS Lambda