AVP/VP : Senior Gen AI Engineer

If you are passionate about building production-grade AI using LLMs, RAG, and Agentic AI and thrive on growing high-performing teams , this role is for you.
Key Responsibilities
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.
Required Skills & Experience
Must Have
11–16 years of experience in application development or enterprise engineering roles
Expert-level proficiency in Python (mandatory)
Strong hands-on expertise in Java, Microservices, and REST APIs
2+ years of hands-on experience with AI/ML and LLMs (e.g., GPT, Claude, Gemini)
Experience with RAG, prompt engineering, and vector databases
Experience with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
Strong understanding of system design, distributed systems, and cloud platforms
Full-stack development experience with modern frontend frameworks (e.g., React.js / Angu lar)
Experience with SQL/NoSQL databases and real-time data processing
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 AI governance and responsible AI practices
What Success Looks Like
Build AI-powered experiences at scale for millions of customers
Deliver production-ready GenAI and Agentic AI solutions
Drive customer engagement and operational efficiency through AI
Lead high-performing teams to adopt and deliver emerging AI technologies
Good to Have
Experience in Financial Services / Banking domain
Exposure to recommendation systems, personalization, or conversational AI
Knowledge of customer journey analytics, sentiment analysis, or automation workflows
Experience working in product-based or large-scale enterprise environments
Role Type
Individual Contributor (Hands-on)
High ownership role with cross-functional collaboration
What We’re Looking For
Strong technologist with the ability to bridge traditional engineering and AI
Hands-on problem solver with a product mindset
Ability to work in a fast-evolving AI landscape and drive innovation

Work arrangement
No