LangGraph Developer

Company Description

Genrise.ai 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, Genrise.ai 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

What youll 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 youll 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

  .