0.0 years

0 Lacs

pune, maharashtra, india

On-site

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 (and LangChain where useful). Youll turn product ideas into robust, LLM-powered features with careful context + memory management , strong Python engineering, and a bias for measurable performance. 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 . Show more Show less

Posted 6 days ago

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