Source description
About the role
AI Engineering & Agentic Systems Engineer
Location: Eden Prairie, MN 55344
Work Model: Hybrid
Duration: 6 Months Contract
Experience Required: 10+ Years
Job Summary
We are looking for a hands-on AI Engineering & Agentic Systems Engineer with experience building production-grade AI applications using Large Language Models (LLMs) and multi-agent systems. This is an engineering role focused on developing scalable AI solutions, not a traditional Machine Learning or Data Science position.
Required Skills
10+ years of software engineering experience
Strong Python programming experience
Hands-on experience building production LLM-powered applications
Experience with Agentic AI frameworks and tools:
Google Agent Development Kit (ADK)
LangChain
LangGraph
Model Context Protocol (ClientP/FastClientP or similar)
A2A / ACP agent communication protocols
Experience with LLM APIs:
Vertex AI / Gemini
AWS Bedrock
OpenAI
Experience with Retrieval-Augmented Generation (RAG)
Multi-Agent orchestration
Function Calling and Structured Outputs
Human-in-the-Loop (HITL) workflows
FastAPI and AsyncIO
REST API development
Apache Kafka or GCP Pub/Sub
Docker and Kubernetes
CI/CD using GitHub Actions or Cloud Build
Cloud experience (GCP preferred, AWS acceptable)
Vector Databases
PostgreSQL / SQL
MongoDB, Firestore, or other NoSQL databases
Git
Preferred Skills
TypeScript / JavaScript
Terraform or Infrastructure as Code
Redis
OpenTelemetry
Grafana
Open Policy Agent (OPA)
SPIFFE / Workload Identity
Prompt management and evaluation tools
Responsible AI and AI governance
AI observability and monitoring
Healthcare or Insurance domain experience
Key Responsibilities
Design and develop AI-powered applications using LLMs and Agentic AI frameworks.
Build multi-agent workflows using LangChain, LangGraph, and Google ADK.
Develop scalable RAG-based applications with Vector Databases.
Integrate enterprise systems using REST APIs, Kafka, and cloud services.
Build reusable AI platform components for prompt orchestration, agent frameworks, and AI workflows.
Develop production-ready AI services using Python, FastAPI, Docker, and Kubernetes.
Implement monitoring, logging, evaluation, and governance for AI applications.
Build automated CI/CD pipelines and deploy applications in GCP or AWS.
Work closely with cross-functional teams to deliver enterprise AI solutions.
Mentor developers and promote AI-first engineering best practices.
Technical Skills
Python
Google ADK
LangChain
LangGraph
ClientP / FastClientP
Vertex AI / Gemini
AWS Bedrock
OpenAI APIs
RAG
Agentic AI
FastAPI
AsyncIO
Kafka
GCP Pub/Sub
Docker
Kubernetes
GitHub Actions
Cloud Build
Terraform
PostgreSQL
MongoDB
Firestore
Redis
Vector Databases
OpenTelemetry
Grafana
Job type: Contract Division: eTeam Inc (US) Category: eTeam United States Reference: 26-55933
More at eTeam