Lead Generative AI Engineer

Job Summary:

Join a leading multi-billion-dollar Indian conglomerate with a strong presence across energy, transportation, urban infrastructure, and digital services, as a Lead Generative AI Engineer. In this impactful role, you will harness cutting-edge AI technologies to develop innovative solutions that drive efficiency and growth within the organization.

Key Responsibilities:

• Design and implement advanced generative AI models, focusing on large language models (LLMs) to meet organizational needs.
• Collaborate with cross-functional teams to integrate AI solutions into existing workflows and systems.
• Develop and optimize prompt engineering techniques for enhanced AI performance and user experience.
• Utilize retrieval-augmented generation (RAG) to enhance information access and utilization in AI applications.
• Implement and manage AI agents utilizing agentic AI frameworks for responsive and autonomous operations.
• Maintain and optimize vector databases such as Pinecone, Milvus, FAISS, and ChromaDB for efficient data handling.
• Conduct model evaluation and fine-tuning to ensure high performance and relevance of AI solutions.

Requirements:

• A minimum of 6 years of experience in AI and machine learning, specifically with generative models and LLMs.
• Proficiency in Python programming, with a solid understanding of AI libraries and frameworks.
• Hands-on experience with LangChain, LangGraph, and LlamaIndex.
• Familiarity with OpenAI, Anthropic, and Google Gemini APIs for model integration.
• Experience in deploying and managing REST APIs, and utilizing cloud platforms like AWS, Azure, or GCP.
• Strong understanding of version control systems such as Git.
• Excellent problem-solving skills and ability to work in a collaborative environment.

Preferred Qualifications:

• Experience with model evaluation techniques and fine-tuning methodologies.
• Knowledge of AI ethics and best practices in AI governance.
• Hands-on experience with agentic AI frameworks in real-world applications.
• Familiarity with advanced data structures and algorithms related to vector databases.

Benefits:

• Competitive salary with performance-based incentives.
• Comprehensive health insurance for you and your family.
• Flexible work environment promoting work-life balance.
• Opportunities for continuous learning and professional development.
• Access to the latest technologies and tools in AI.
• Wellness programs aimed at mental and physical health.
• Engaging work culture focused on innovation and collaboration.