Lead-AI Engineer

Key Responsibilities:

• Design, train, and fine-tune LLMs for specific business applications using open-source and proprietary models.
• Build and scale NLP pipelines for text generation, summarization, classification, Q&A, and semantic search.
• Develop and implement Retrieval-Augmented Generation (RAG) systems using vector databases.
• Integrate LLM-based solutions into production environments ensuring scalability, performance, and reliability.
• Optimize inference performance of large models for real-time applications.
• Collaborate with data scientists, product managers, and backend engineers to deliver intelligent features end-to-end.
• Leverage prompt engineering and custom adapters (LoRA, PEFT, etc.) for model tuning and efficiency.
• Maintain reproducible ML workflows using MLOps tools and CI/CD practices.

Required Skills & Qualifications:

• 5+ years of total experience in software/ML engineering with at least 2 years in LLMs/NLP applications.
• Proficiency in Python and hands-on experience with ML/DL frameworks such as PyTorch or TensorFlow.
• Deep understanding of transformer architectures and modern LLMs (GPT, LLaMA, Claude, Gemini, etc.).
• Experience with prompt engineering, fine-tuning, or instruction tuning.
• Practical experience with RAG pipelines, embedding models, and vector databases like FAISS, Pinecone, or Weaviate.
• Experience deploying LLM applications in production at scale (preferably on cloud platforms like AWS, Azure, or GCP).

Job Type: Full-time

Pay: ₹476,387.04 - ₹1,689,471.78 per year

Work Location: In person