LangGraph Developer

5 days ago

Pune, Maharashtra, India Genrise Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Company Description

is an ecommerce content agent designed to address the content needs of brands on various marketplaces like Amazon, Walmart, and Target. By identifying content gaps, creating tailored and high-performing product copy, accelerates the content creation process, delivering results 10x faster without any manual effort. We are now live on #ProductHunt

About the role

Build and ship stateful, agentic AI workflows using LangGraph
(and LangChain where useful). You'll turn product ideas into robust, LLM-powered features with careful
context + memory management
, strong Python engineering, and a bias for measurable performance.

What you'll do

  • Design, build, and deploy
    agentic
    pipelines with LangGraph (multi-step tools, branching, retries, guards).
  • Orchestrate LLM calls,
    state management
    , and long-context strategies (summarization, retrieval, windowing).
  • Integrate APIs, vector databases, and observability to ensure reliability, latency, and cost control.
  • Work with
    reasoning models
    and implement tool use, function calling, and evaluation loops.
  • Contribute to
    fine-tuning/exposure
    workflows (data prep, small adapters/LoRA, evals, safety checks).
  • Optimize prompts, caching, and throughput; write clean, testable Python.

What you'll bring

  • Strong Python plus hands-on
    LangGraph/LangChain
    experience.
  • Deep understanding of
    memory management
    and context control for LLM apps.
  • Solid grasp of LLM orchestration, RAG, embeddings, and vector stores.
  • Experience integrating external tools/APIs and shipping to production.
  • Pragmatic problem-solver with metrics-driven mindset (latency, quality, cost).

Nice to have

  • Experience with eval frameworks, tracing/telemetry, streaming UIs, and cloud deployment (Docker, serverless, Kubernetes).
  • Prior work with
    reasoning-focused
    or multi-agent systems and lightweight
    fine-tuning
    .

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