IT - Technology Specialist - IT Service, Support and Operations | OpenSystem | Python - OpenSystem
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+27 more
Job 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
Requirements
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦