We are hiring talented and motivated engineers to join our LLM and Generative AI team. You will contribute across the lifecycle of AI agent development—data engineering, LLM fine-tuning, RAG-based retrieval, evaluation frameworks, and deployment integration. This is an opportunity to work hands-on with open-source models like Llama, integrate them with real-world enterprise systems, and build intelligent, modular Agentic AI applications. Key Responsibilities: LLM Model Engineering: Fine-tune and evaluate large language models (e.g., Llama 2/3, Mistral) using curated datasets for specific enterprise tasks. RAG & Contextual Memory: Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., ElasticSearch, FAISS) to enhance factual grounding. Data Pipeline Development: Collect, clean, and structure domain-specific datasets (structured and unstructured) for training and evaluation. Agentic Architecture Integration: Contribute to the design and orchestration of AI agents with modular skills for planning, dialogue, and retrieval. Voice & Multimodal Interfaces (Optional): Work with TTS/ASR stacks (e.g., Whisper, NeMo) to integrate GenAI into multilingual voice agent pipelines. Evaluation & Risk Tracking: Implement evaluation metrics for task performance, drift detection, and hallucination control. Collaboration & Review: Work with senior AI engineers, product managers, and domain experts to translate requirements into deployed systems. Continuous Learning: Stay current with advancements in GenAI, open-source ecosystems, and governance practices (e.g., NIST AI RMF, EU AI Act). Qualifications: B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or a related field from a reputed institute. Strong fundamentals in machine learning, NLP, and Python-based development. Familiarity with open-source LLM frameworks (e.g., HuggingFace Transformers, LangChain, LlamaIndex). Exposure to vector search and embeddings (e.g., OpenAI, SBERT, or in-house models). Bonus: Knowledge of Docker, Streamlit, REST APIs, or voice stack (Whisper, NeMo). Why Join Us? Work on real-world GenAI applications deployed across enterprise systems. Contribute to building India's first integrated Agentic AI platform. Be part of a fast-growing team with deep expertise in AI engineering, fine-tuning, and voice/document intelligence. Opportunity to work on multi-modal AI and governance-aligned AI systems from day one. Job Type: Full-time Pay: ₹50,000.00 - ₹150,000.00 per month Benefits: Health insurance Work Location: In person Expected Start Date: 19/08/2025
