About the role

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.