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Lead Consultant | Cloud Platform | Azure API Gateway

Job in Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: IMCS Group Inc
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Job Description & How to Apply Below
Company

Description:

IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.

Description:

Job Title:

AI Engineering & Agentic Systems

Work Location:

Eden PrairieMN
55344
Vendor Rate: *** - 108.00
Contract duration: 6
Target

Start Date:

29 Jun 2026
Does this position require Visa independent candidates only? YES

** hybrid work set-up*
* Job Details:

Must Have Skills

Experience with agent and LLM ecosystem tools Google Agent Development Kit (ADK), Lang Chain & Lang Graph (agent orchestration), Model Context Protocol (MCP) FastMCP or similar connector development, A2A ACP interagent communication protocols
Proficiency with LLM streaming APIs Vertex AI Gemini, AWS Bedrock, OpenAI
Familiarity with OASF (Open Agentic Schema Framework) agent schema and registry patterns

Nice to have skills

Detailed

Job Description
Hands-on production experience building LLM-powered applications or agentic systems this is not a traditional ML/data science role (no model training, no heavy ML pipelines)
" Strong understanding of multi-agent orchestration, tool-using agents, Retrieval-Augmented Generation (RAG), structured outputs, function calling, and Human-ON-the-Loop (HOTL) workflows
"

Experience with agent and LLM ecosystem tools:
Google Agent Development Kit (ADK), Lang Chain & Lang Graph (agent orchestration), Model Context Protocol (MCP) FastMCP or similar connector development, A2A / ACP inter-agent communication protocols
" Proficiency with LLM streaming APIs:
Vertex AI / Gemini, AWS Bedrock, OpenAI
" Familiarity with OASF (Open Agentic Schema Framework) agent schema and registry patterns

Core Languages & Frameworks
" Python strong production experience (primary language required)
" Type Script / JavaScript good to have
APIs, Services & Integration
" FastAPI / AsyncIO REST API design, webhooks, event-driven services
" OpenAPI / AsyncAPI / Protobuf API contract design
" Apache Kafka, GCP Pub/Sub event streaming and async agent communication

Testing & Quality Engineering
" Automated Test-Driven Development (TDD) designing systems with test-first discipline
" Regression testing ensuring behavioral stability across rapid iterations
" End-to-End (E2E) testing validating agent workflows across services and integrations
" Test automation for APIs, agents, and event-driven systems

Platform, Infrastructure & Cloud
" Experience working in cloud environments (GCP preferred, AWS)
" Kubernetes;
Google Cloud Run / Cloud Run Jobs hands-on operational depth
" Docker containerization
" Git Hub Actions, Cloud Build CI/CD pipelines
" Familiarity with microservices, distributed systems, and Infrastructure-as-Code (Terraform, etc.)

Data & Storage
" VectorDB retrieval systems for RAG and knowledge grounding
" Firestore, MongoDB, or equivalent No

SQL
" PostgreSQL / SQL relational databases
" Google Cloud Storage (GCS) artifact and deployment package management
" Redis caching

Observability & Reliability
" Open Telemetry tracing, spans, structured observability
" Grafana dashboards and SLO visualization
" DORA metrics & SLO engineering

Security, Identity & Governance
" Open Policy Agent (OPA) policy enforcement in agent workflows
" SPIFFE / Workload Identity non-human identity and mTLS

Mindset & Work Style
" Genuinely hands-on, strategic AI-first mindset engineer who takes full ownership of work
" Thrives in a fast-paced environment with continuous experimentation
" Actively leverages modern AI-assisted development tools Git Hub Copilot, Codex, and Claude
" Track record of shipping production-grade systems, not prototypes
" Comfortable with ambiguity and rapid evolution of AI tooling

Preferred Skills and Attributes
"

Experience with prompt/version management and evaluation tooling (2+ years)
" Skills generation and agent builder experience
" Familiarity with emerging agent frameworks and orchestration patterns
" Understanding of AI observability and evaluation frameworks (quality, latency, cost, safety)
"

Experience with Responsible AI practices (guardrails, safety, auditability)
" Knowledge of cost/performance tradeoffs in LLM systems
" Experience building monitoring, logging, and feedback loops for AI systems
" Mentoring experience ability to guide engineers on AI-first development approaches
" Experience contributing to platform-first abstractions that enable other engineers to build AI features
" Familiarity with closed-loop workflows (detect reason act validate)

Primary Responsibilities

1. Build AI-Native Capabilities Design and implement agentic workflows and multi-agent systems that solve real business problems across operations, service health, and enterprise workflows. Develop LLM-powered…
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