GEN AI - Solution Architect

4 - 8 years

20 - 30 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role:

Key Responsibilities

  • Design architecture for GenAI platforms, agent systems, and LLM-based applications.
  • Build

    multi-agent workflows

    with reasoning, tool usage, planning, and autonomy.
  • Develop

    RAG pipelines

    , embeddings, vector DB integrations, prompt flows, and caching layers.
  • Create workflows using

    LangGraph

    , pipelines using

    LangChain

    , and collaborative agents using

    CrewAI

    .
  • Integrate tools and services using

    MCP

    ; implement LLMOps with LangSmith for tracing/evaluation.
  • Deploy LLM apps across

    OpenAI, Azure, Anthropic, Google, Llama, Mistral

    .
  • Work with cloud platforms (AWS/Azure/GCP), Docker, Kubernetes.
  • Optimize LLM performance, latency, throughput, and cost.

Required Skills

  • Strong hands-on with

    LangGraph, LangChain, CrewAI, LangSmith, MCP

    .
  • Expertise in

    RAG, embeddings, vector DBs

    , tool calling, and prompt engineering.
  • Python (must), TypeScript (preferred).
  • Knowledge of cloud, microservices, serverless, Kubernetes.
  • Experience building agent systems and LLMOps pipelines.

Preferred

  • Experience with enterprise AI governance, compliance, and responsible AI.
  • Exposure to custom LLMs, fine-tuning, and model distillation.
  • Familiar with BentoML, MLflow, HuggingFace, Weights & Biases.

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