About Us :
We are a fast-growing B2B SaaS company building cutting-edge Generative AI and LLM-powered platforms that help enterprises scale decision-making, automation, and intelligent insights.
What Youll Do :
- Build and deploy agentic LLM solutions with LangGraph, LangChain, DSPy, and other modern frameworks
- Architect RAG pipelines, multi-turn conversational agents, and document automation systems
- Work on observability & evaluation of LLMs using tools like Langfuse, Langsmith, and DSPy evals
- Optimize inference pipelines with Ray, FastAPI, and distributed systems
- Collaborate with product & infra teams to take GenAI products from R&D to production
What Were Looking For :
Strong experience in Python (FastAPI / Django preferred)Hands-on with LLM frameworks (LangChain, LangGraph, DSPy, Mem0, LightRAG, etc.)Knowledge of vector databases (Milvus, Pinecone, FAISS) and retrieval mechanismsUnderstanding of transformers, tokenization, embeddings and how to evaluate LLM performance (BLEU, ROUGE, retrieval hit-rate)Exposure to MLOps, distributed computing (Ray / Kubernetes) is a plusEducation from Tier-1 / Tier-2 engineering institutes preferredWhy Join Us ?
Work at the forefront of GenAI + Agentic systemsBe part of a high-growth SaaS startup solving real enterprise problemsOpportunity to work with top-tier engineers and researchersFast-paced environment with ownership and growth trajectory(ref : hirist.tech)