Job description

Our client, a multinational telecommunications technology company is seeking a highly experienced AI Developer. 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. 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. If you would like to learn more, please reach out to Elite Technical. Required Skills Required Skills: - 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

Requirements

Must-haves

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.
If you would like to learn more, please reach out to Elite Technical.
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-haves

None flagged.

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aillmapiazurepythonci/cddockerkubernetes

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