Lead/Staff Engineer - Applied AI

📋 Description

• Architect, build, and deploy autonomous AI agents capable of executing complex workflows across
• Develop and fine-tune LLM solutions using both open-source models and API-based platforms
• Design and scale robust Retrieval-Augmented Generation (RAG) systems and vector search
• Develop and continuously refine prompt engineering, context construction, function calling, and
• Apply advanced data science techniques, including predictive modeling, A/B testing, scoring
• Partner with backend, infrastructure, and product teams to develop reusable GenAI infrastructure

🎯 Requirements

• 8+ years of experience in Data Science, Machine Learning, Applied AI, or a closely related field
• Hands-on expertise with LLM technologies, including fine-tuning, prompt engineering, embeddings
• Strong experience designing and implementing RAG systems using vector databases such as FAISS
• Experience working in cloud-native environments, particularly GCP and AWS, with experience
• Experience with LangChain or similar agent orchestration frameworks, including the ability to
• Strong Python programming skills combined with sound engineering practices around CI/CD, testing

🎁 Benefits

• Remote role with the flexibility to work from anywhere in India.
• High-autonomy position with substantial ownership over applied AI and Generative AI initiatives.
• Opportunity to build AI agents and intelligent systems operating at significant scale and
• Exposure to advanced technologies spanning LLMs, RAG, vector search, agent orchestration, MLOps
• Opportunity to influence AI product strategy, technical standards, and the development of reusable
• Collaboration with backend, infrastructure, product, and engineering specialists in a globally