Experience:

• 9+ years of experience
• 6+ years in AI, data science, or machine learning

Qualification:

• Strong expertise in LLMs, RAG, vector databases, and multi-agent AI frameworks
• Proficiency in AI/ML tools such as TensorFlow, PyTorch, LangChain, and LlamaIndex
• Strong leadership, problem-solving, and stakeholder collaboration skills

Role Focus:

• Lead and mentor a team of AI engineers and data scientists
• Design scalable AI architectures integrating LLMs, multi-agent systems, and secure AI frameworks for enterprise applications
• Develop and optimize AI solutions using advanced RAG techniques, vector databases, LangChain, LlamaIndex, and deep learning frameworks like TensorFlow and PyTorch
• Build and deploy conversational AI, APIs (FastAPI), and microservices for real-time, AI-powered applications with strong performance optimization
• Ensure robust AI deployment by integrating LLM security practices, working with databases, and leveraging cloud, containerization, and CI/CD tools for scalable solutions

More skills:

multi-agent AI frameworks, API development, microservices architecture, AI deployment

Other:

• Competitive Total Rewards Package: Comprehensive annual compensation including basic salary, HRA, special allowance, provident fund, gratuity, internet allowance, and food allowance
• Health & Insurance Coverage: Medical insurance, group term life insurance, and personal accident insurance
• Allowances & Support: Transportation/transport allowance and shift allowance
• Paid Time Off: Generous leave policy to support work–life balance
• Commitment to sustainability and ESG
• Diversity, Equity, and Inclusion steering committee
• Learning and development programmes and systems
• Hybrid working approach