Senior AI/ML Engineer

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

Job Summary

We are looking for a skilled AI/ML Developer to join our agentic platform team. 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.

Work Arrangement

Onsite Role - 5 days a week

Interview

Two rounds - Video interview and In-person (Final Discussion)

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

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- Prompt engineering - system prompts, few-shot, structured JSON output
• - PostgreSQL and async ORMs (SQLAlchemy async / Alembic)

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)
• - Telecommunications or field service domain experience

Education

Bachelor's degree, or foreign equivalent, in Computer Science or Information Technology