- We're looking for an AI/ML Engineer who lives and breathes large language models and generative AI. You'll architect, fine-tune, and ship LLM-powered products—from RAG pipelines and autonomous agents to real-time inference at scale. If you've taken a model from research notebook to production API, we want to talk.

WHAT YOU'LL DO - Design and productionize LLM-based applications (chatbots, copilots, search, content generation, autonomous agents) - Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, ChromaDB, FAISS) and embedding models - Fine-tune foundation models (GPT-4, Claude, LLaMA, Mistral, Gemini) with techniques like LoRA, QLoRA, RLHF, and DPO - Implement prompt engineering strategies, guardrails, evaluation frameworks,



and LLM observability (LangSmith, Arize, Weights & Biases) - Deploy low-latency inference services using vLLM, TGI, TensorRT-LLM, or Triton on GPU clusters - Build agentic workflows with LangChain, LlamaIndex, CrewAI, or custom orchestration frameworks - Establish LLMOps practices: model versioning, A/B testing, drift monitoring, cost optimization, and automated evaluation - Collaborate cross-functionally with Product, Design, and Data teams to translate user needs into AI-powered features

📌 Artificial Intelligence Engineer (Ahmedabad)
🏢 SNDK
📍 Ahmedabad