AI/ML Developer

About the Role We are looking for a LLM (Large Language Models) Engineer to design, build, and optimize intelligent agents powered by Large Language Models (LLMs). You will work on cutting-edge AI applications , pre-train LLMs, fine-tune open-source models, integrate multi-agent systems, and deploy scalable solutions in production environments. Key Responsibilities – (Must Have) Develop and fine-tune LLM-based modesl and AI agents for automation, reasoning, and decision-making. Build multi-agent systems that coordinate tasks efficiently. Design prompt engineering, retrieval-augmented generation (RAG), and memory architectures . Optimize inference performance and reduce hallucinations in LLMs. Integrate LLMs with APIs, databases, and external tools for real-world applications . Implement reinforcement learning with human feedback (RLHF) and continual learning strategies. Collaborate with research and engineering teams to enhance model capabilities. Requirements 2+ years in AI/ML, with at least 2+ years in LLMs, or AI agents . Strong experience in Python, LangChain, LlamaIndex, Autogen, Hugging Face, etc. Experience with open-source LLMs (LLaMA, Mistral, Falcon, etc.) . Hands-on experience in LLM deployments with strong inference capabilities using robust frameworks such as vLLM. building multi-modal RAG systems. Knowledge of vector databases (FAISS, Chroma) for retrieval-based systems. Experience with LLM fine-tuning, downscaling, prompt engineering, and model inference optimization . Familiarity with multi-agent systems, cognitive architectures, or autonomous AI workflows . Expertise in cloud platforms (AWS, GCP, Azure) and scalable AI deployments . Strong problem-solving and debugging skills. Nice to Have Contributions to AI research, GitHub projects, or open-source communities . Experience with open-source LLMs (LLaMA, Mistral, Falcon, etc.) . Knowledge of Neural Symbolic AI, AutoGPT, BabyAGI, or similar frameworks . Job Type: Full-time Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9341725427