Machine Learning Engineer - Generative AI

<p><p><b>About Us :</b><br/><br/>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.<br/><br/><b>What Youll Do :</b><br/><br/>- Build and deploy agentic LLM solutions with LangGraph, LangChain, DSPy, and other modern frameworks<br/><br/>- Architect RAG pipelines, multi-turn conversational agents, and document automation systems<br/><br/>- Work on observability & evaluation of LLMs using tools like Langfuse, Langsmith, and DSPy evals<br/><br/>- Optimize inference pipelines with Ray, FastAPI, and distributed systems<br/><br/>- Collaborate with product & infra teams to take GenAI products from R&D to production<br/><br/><b>What Were Looking For :</b><br/><br/>- Strong experience in Python (FastAPI/Django preferred)<br/><br/>- Hands-on with LLM frameworks (LangChain, LangGraph, DSPy, Mem0, LightRAG, etc.)<br/><br/>- Knowledge of vector databases (Milvus, Pinecone, FAISS) and retrieval mechanisms<br/><br/>- Understanding of transformers, tokenization, embeddings and how to evaluate LLM performance (BLEU, ROUGE, retrieval hit-rate)<br/><br/>- Exposure to MLOps, distributed computing (Ray/Kubernetes) is a plus<br/><br/>- Education from Tier-1/Tier-2 engineering institutes preferred<br/><br/><b>Why Join Us ?</b><br/><br/>- Work at the forefront of GenAI + Agentic systems<br/><br/>- Be part of a high-growth SaaS startup solving real enterprise problems<br/><br/>- Opportunity to work with top-tier engineers and researchers<br/><br/>- Fast-paced environment with ownership and growth trajectory</p><br/></p> (ref:hirist.tech)