Agentic DeveloperFocus

Job Description: **Please strictly adhere to the following resume naming convention:

ALL CAPS NO SPACES B/T UNDERSCORES

PTNUSGBAMSREQIDCandidateBeelineID

i.e. PTNUS9999999SKIPJOHNSON0413

Bill Rate: $70-75/hr

MSP Owner: Kelly Gosciminski

Location: Minneapolis MN - onsite

Duration: 6 months

GBaMS ReqID:

Agentic AI Developer

- 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)

- 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

Role Descriptions: Agentic DeveloperFocus on designing building and optimizing AGENTC capabilities using large language models and advanced reasoning ResponsibilitiesStrong technical depth a passion for building workstreams in a fast-paced innovation-driven environmentBuild serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory Gateway Identity Interpreter Observability and RuntimeImplement and operate A2AMCP servers on AWS integrate with Bedrock AgentsConverse APIsOrchestrate multiagent plans with Strands Agents deploy to EKS or LambdaInstrument agents with CloudWatch metrics spans and traces enable auditsCollaborate with product managers data engineers and UX teams to deliver production-ready solutionsFollow the roadmap for AI initiatives ensuring they align with organizational goals and show measurable impactRequired Skills ExperienceStrong problem-solving and strategic thinking abilitiesStrong collaboration skills in research-driven environmentsHandson with Bedrock AgentCore Memory Gateway and RuntimeStrong experience with LLMs (fine-tuning evaluation prompt engineering)Proficiency in Python and modern AIML frameworksProficiency in vector databases and embedding models for retrieval tasksExperience with Data Connectors and API gateways that support seamless communication between systemsExperience with generative AI concepts such as Retrieval-Augmented Generation (RAG) agentic workflows training LLMs with structured and unstructured data setsStrong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformationHands-on with agent frameworks such as Semantic Kernel LangGraph LangChain Agents or CrewAIDeep 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

Essential Skills: Agentic DeveloperFocus on designing building and optimizing AGENTC capabilities using large language models and advanced reasoning ResponsibilitiesStrong technical depth a passion for building workstreams in a fast-paced innovation-driven environmentBuild serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory Gateway Identity Interpreter Observability and RuntimeImplement and operate A2AMCP servers on AWS integrate with Bedrock AgentsConverse APIsOrchestrate multiagent plans with Strands Agents deploy to EKS or LambdaInstrument agents with CloudWatch metrics spans and traces enable auditsCollaborate with product managers data engineers and UX teams to deliver production-ready solutionsFollow the roadmap for AI initiatives ensuring they align with organizational goals and show measurable impactRequired Skills ExperienceStrong problem-solving and strategic thinking abilitiesStrong collaboration skills in research-driven environmentsHandson with Bedrock AgentCore Memory Gateway and RuntimeStrong experience with LLMs (fine-tuning evaluation prompt engineering)Proficiency in Python and modern AIML frameworksProficiency in vector databases and embedding models for retrieval tasksExperience with Data Connectors and API gateways that support seamless communication between systemsExperience with generative AI concepts such as Retrieval-Augmented Generation (RAG) agentic workflows training LLMs with structured and unstructured data setsStrong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformationHands-on with agent frameworks such as Semantic Kernel LangGraph LangChain Agents or CrewAIDeep 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

Desir