About the Role We are looking for a Senior 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 5+ 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: ₹20,000.00 - ₹70,000.00 per month Schedule: Day shift Work Location: In person

Identify and pursue new sales opportunities through cold calling, networking, and social media. Schedule and conduct client meetings and product presentations. Understand customer needs and offer suitable product or service solutions. Prepare and deliver appropriate sales proposals and quotations. Negotiate deals and close sales to achieve monthly targets. Maintain regular follow-up with clients to ensure satisfaction and repeat business. Maintain accurate records of sales activities and client communications in the CRM system. Coordinate with internal teams for order processing, delivery, and after-sales support. Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person Speak with the employer +91 7046433332