> Markdown version of [/jobs/ext/3677176-it-technology-specialist-it-service-support-and-operations-opensystem-python-opensystem](https://www.wearedevelopers.com/jobs/ext/3677176-it-technology-specialist-it-service-support-and-operations-opensystem-python-opensystem). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** Cloudspace LLC
- **Location:** Maryland Heights, MO, United States
- **Experience:** Experienced
- **Salary:** $151,840.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Unit Testing, Microsoft Azure, Code Review, Image Analysis, Continuous Integration, Distributed Systems, Identity and Access Management, JSON, Python (Programming Language), PostgreSQL, Role-Based Access Control, OpenAI, Search Technologies, Service Design, Software Engineering, SQLAlchemy, Data Streaming, WebSocket, Data Logging, Pinecone, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Langfuse — LLM Observability and Analytics Platform, Git, Fastapi, Pgvector, Kubernetes, Low Latency, Api Design, OpenSearch, Docker, Microservices
- **Published:** October 10, 2026
- **Apply:** https://www.careerjet.com/jobad/usbffbb0a34e82d7a41598807b1898a613

## About the Role

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

## Description

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., 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