Senior AI Agentic Developers

Jade Global

Hyderabad, Pune District, Bengaluru

Híbrido

INR 900.000 - 1.400.000

Jornada completa

Hace 8 días

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Descripción de la vacante

Jade Global is seeking an AI/ML engineer with strong Python, LangGraph, and LangChain capabilities to design and deploy agentic AI systems. You will work on multi-agent orchestration, LLM integration, and production-grade workflows with observability, security, and scalability requirements.

The role emphasizes hands-on experience with PostgreSQL-based persistence, real-time processing, and tool integration, plus ability to tailor skills to project needs such as graph databases and GraphRAG

Formación

  • Experience building scalable AI agents with Python.
  • Hands-on LangGraph and LangChain frameworks.
  • Strong LLM integration across models (OpenAI, Claude, Gemini).
  • Experience with production-grade persistence and observability.

Conocimientos

Python development
Asynchronous programming
API integration
LangGraph
StateGraph
PostgreSQL
Thread management
LangChain
LLM integration
LangSmith
Observability
Production readiness
Security
Graph databases
GraphRAG
Real-time processing
STT/TTS
Voice processing

Descripción del empleo

  • Strong Python development, asynchronous programming, and API integration.
  • Hands-on LangGraph experience: StateGraph, typed state, nodes, conditional edges, subgraphs, reducers, and cyclic workflows.
  • Production persistence: PostgreSQL-based checkpointing, thread management, state history, recovery, and reliable execution.
  • Tool integration: reusable tool schemas, tool registration and discovery, dynamic loading, and error handling.
  • Multi-agent orchestration: supervisor, handoff, orchestrator-worker, and routing patterns.
  • LangChain expertise, including LCEL, runnables, structured outputs, and tool calling.
  • LLM integration with OpenAI, Claude, Gemini, or equivalent models.
  • Human-in-the-loop workflows, streaming, tracing, and observability using LangSmith or equivalent.
  • Production readiness: evaluation, security, scalability, and deployment.
  • Strong Python, LLM integration, and practical Agentic AI experience using LangGraph should be standard skills across relevant AI engineering roles. Add specialized skills such as real-time voice processing, STT/TTS, graph databases, and GraphRAG based on the specific role and project requirements
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