IT - Technology Specialist - IT Service, Support and Operations | OpenSystem | Python - OpenSystem

Job Title Technology Specialist - IT Service, Support and Operations | OpenSystem | Python - OpenSystem
Work Location & Reporting Address Maryland Heights, MO 63043 **The candidate should be based in St. Louis and willing to attend an in-person interview.**
Vendor Rate $73.00/hr.
Contract duration 6
Target Start Date 05 Oct 2026


Role Summary:
We are looking for a skilled AI/ML Developer to join our agentic platform team on a contractual basis. You will design, develop, and deploy LLM-powered agents and pipelines that directly serve field technicians in production. You will work closely with the platform architect and contribute to the core multi-agent orchestration system.


Required Skills & Experience
Must Have:
10+ years of software development with strong Python expertise in production environments.
2+ years hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)
RAG pipeline experience - embeddings, vector search, re-ranking, answer generation
LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling
Async Python - asyncio, httpx, FastAPI
Prompt engineering - system prompts, few-shot, structured JSON output
Circuit breaker patterns, retry logic, resilient service design
PostgreSQL and async ORMs (SQLAlchemy async / Alembic)
Git, CI/CD, Docker, Kubernetes basics
Strong system design skills - microservices, distributed systems, API design



Nice-to-Have:
LangGraph StateGraph (conditional edges, node pipelines, compiled graphs)
Multi-agent systems - orchestration, routing, RBAC-based access control
Langfuse or similar LLM observability (tracing, token usage, latency)
WebSocket and SSE streaming protocols
Multi-modal AI (vision models, image analysis)
Vector databases (OpenSearch, Pinecone, pgvector)
AWS services (Aurora PostgreSQL, SSM, IAM, EKS)
Telecommunications or field service domain experience



Key Responsibilities:
Design and develop LLM-powered agents using LangGraph and LangChain frameworks
Build and enhance multi-agent orchestration pipelines with conditional routing, state management, and error recovery
Develop RAG pipelines with hybrid search (semantic + keyword), re-ranking, and Reciprocal Rank Fusion
Implement tool-calling agents with parallel API execution, sequential enrichment chains, and summarization
Build real-time streaming capabilities (WebSocket / SSE) for conversational AI
Integrate with Azure OpenAI APIs with circuit breaker patterns and fallback chains
Implement prompt engineering and dynamic prompt management (DB-backed with in-memory caching)
Design and implement multi-modal AI features (image analysis with vision models)
Write production-quality Python code with error handling, logging, observability, and unit tests
Participate in code reviews, architecture discussions, and sprint delivery


Minimum years of experience
8-10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute


Interview Process (Is face to face required?) Yes

Project Code: Code for MCity CB2 for SDITFLDTECH