Senior LLM & Agentic AI Engineer - Assistant Vice President

Generative AI & Agentic AI

• Design and deploy enterprise-grade GenAI applications using GPT, Claude, Gemini, or equivalent LLMs.
• Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or similar.
• Develop multi-agent systems to automate customer journeys and business workflows.
• Implement advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality.

RAG & Knowledge Systems

• Design and optimize Retrieval-Augmented Generation (RAG) architectures.
• 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.

Required Skills

Must Have

• 8-11 years of software engineering experience.
• 2+ years of hands-on experience building GenAI or LLM-powered applications.
• Strong experience with:
  • GPT, Claude, Gemini, or similar LLMs
  • LangChain, LangGraph, CrewAI, or AI Agent frameworks
  • Retrieval-Augmented Generation (RAG)
  • Vector databases
  • Prompt Engineering
• Strong programming skills in Java and/or Python.
• Experience building REST APIs and microservices.
• Familiarity with cloud platforms and modern software development practices.

Nice to Have

• MLOps experience (deployment, monitoring, model lifecycle management).
• Experience with recommendation engines or conversational AI platforms.
• Knowledge of financial services, wealth management, or digital banking.
• Experience with React, Angular, or modern frontend frameworks.

What Success Looks Like

• Build scalable AI-powered digital experiences used by millions of customers.
• Deliver production-ready Agentic AI and GenAI solutions.
• Improve customer engagement, automation, and operational efficiency through AI innovation.
  • Drive adoption of emerging AI technologies across the organization.