Senior Gen AI Engineer

Generative AI & Agentic AI

• Lead the design and development of scalable, enterprise-grade conversational AI and agentic systems for real-time customer interaction use cases
• Build and optimize AI/ML solutions including LLM-powered workflows using GPT, Claude, Gemini, or equivalent models
• Design and deploy multi-agent systems to automate complex customer journeys and business workflows
• Apply advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality, cost, and accuracy

RAG & Knowledge Systems

• Develop and implement RAG pipelines and knowledge-based AI integrations
• Integrate vector databases and enterprise knowledge repositories
• Improve retrieval accuracy, response relevance, and grounding of AI-generated content

Software Engineering

• Build scalable backend services and APIs using Java and/or Python.
• Develop cloud-native microservices and integrate AI capabilities into customer-facing applications.
• Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions.

AI Operations & Governance

• Monitor model performance, latency, and operational costs.
• Implement AI governance, observability, and responsible AI practices.
  • Optimize LLM usage and inference costs in production environments.