LLM AI Engineer

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