Role Purpose

Experience: 6+ Years
Role: AI/ML Engineer | GenAI | Agentic AI | RAG
Level: GCB 4/5/6
Location: Multiple Locations

Role Summary

Looking for an experienced, hands-on AI/ML Engineer who can design, develop, evaluate, and deploy production-ready AI solutions using Machine Learning, Generative AI, RAG, and Agentic AI.

Mandatory Skills

• AI/ML: Strong hands-on experience in Machine Learning, Deep Learning, NLP, and advanced model development.
• GenAI & LLMs: Experience building LLM-based applications, Prompt Engineering, and RAG solutions.
• Agentic AI: Experience developing AI agents, tool/function calling, and autonomous workflows.
• AI Evaluation: Experience with evaluation frameworks, golden datasets, model accuracy, and performance metrics.
• AI Security: Knowledge of AI guardrails, prompt injection prevention, data privacy, and hallucination mitigation.
• Production Deployment: Experience deploying AI/ML solutions with monitoring, reproducible pipelines, and production readiness.
• Rapid Prototyping: Ability to build AI POCs/MVPs and convert them into production-ready solutions.

Key Responsibilities

• Design and implement advanced AI/ML, GenAI, RAG, and Agentic AI solutions.
• Build and evaluate AI models against performance benchmarks.
• Develop secure, scalable, production-ready AI applications.
• Optimize AI models for accuracy, latency, and cost.
• Collaborate with business stakeholders to deliver AI solutions.

Good to Have

• Experience in regulated environments such as Banking/Financial Services.
• Model optimization techniques such as quantization, caching, and batching.
• Reusable AI frameworks, evaluation tools, and technical mentoring.

Candidates must demonstrate actual hands-on project experience in:

1. AI/ML model development and production deployment.
2. GenAI, RAG, or Agentic AI implementation.
3. AI evaluation frameworks and measurable model improvements.
4. AI safety, security, and guardrails.
5. End-to-end AI solution delivery, from POC to production