Senior/ Lead AI ML Engineer (Mumbai)

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Role Summary We are building an AI Factory to deliver enterprisegrade, agentic AI solutions that move beyond pilots into sustained business impact. As an AI Engineer, you will be a core builder within a crossfunctional AI Pod, responsible for implementing, testing, and deploying agentic systems into real client workflows. This role is handson and executionfocused. You will turn architectural designs and product intent into reliable, observable, and productionready AI components, working closely with the AI Product Lead, Lead AI Architect, and Automation Engineers. Key Responsibilities Agentic System Development Build and implement agentic AI components, including: Toolusing agents Multistep reasoning and execution flows Planner, executor, and validator agent patterns Translate architectural designs into working, maintainable code Ensure agent behavior is bounded, predictable, and aligned with intent Prompt, Memory & Retrieval Engineering Develop prompts as versioned, testable software artifacts Implement and tune: Retrievalaugmented generation (RAG) Memory and contextmanagement strategies Input and output constraints Optimize prompts and retrieval for accuracy, latency, and cost Evaluation, Testing & Reliability Build evaluation harnesses to assess: Accuracy and relevance Hallucination and failure rates Regression across prompt and model changes Implement automated testing and validation for AI workflows Partner with the Lead AI Architect to monitor drift and degradation over time Deployment & Operations Package and deploy AI components into production environments Integrate AI logic into APIs, services, and workflows Instrument solutions for: Performance Usage Costtoserve Support production troubleshooting and iterative optimization Collaboration Within the AI Pod Work closely with: AI Product Lead to align implementation with acceptance criteria Lead AI Architect on design decisions and patterns Automation / Integration Engineers to enable realworld execution Contribute to reusable components, templates, and patterns within the AI Factory Required Qualifications Experience 58+ years of experience in software engineering, data engineering, or applied AI development Handson experience building and deploying systems into production environments Comfort working in agile, fastmoving delivery teams AI & Agentic Skills Practical experience with: Generative AI and LLMs Agentic frameworks or orchestration patterns Tool calling and action execution Strong understanding of common LLM failure modes and mitigation techniques Ability to reason about when to rely on AI vs deterministic logic Technical Skills Strong proficiency in Python Experience with: API development and integration Eventdriven or workflowbased systems CI/CD and up-to-date DevOps practices Familiarity with cloudnative architectures (Azure preferred) Preferred Qualifications Experience implementing: Retrievalaugmented generation (RAG) Vector databases and embedding strategies Exposure to monitoring, observability, or MLOps concepts Experience working in enterprise or regulated environments Consulting or clientfacing delivery experience What Success Looks Like Agentic components are reliable, testable, and productionready AI solutions integrate cleanly into real business workflows Failures are anticipated, detectable, and recoverable Delivery velocity increases through reuse of proven patterns Clients experience AI as a dependable system, not a black box Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Role Summary We are building an AI Factory to deliver enterprisegrade, agentic AI solutions that move beyond pilots into sustained business impact. As an AI Engineer, you will be a core builder within a crossfunctional AI Pod, responsible for implementing, testing, and deploying agentic systems into real client workflows. This role is handson and executionfocused. You will turn architectural designs and product intent into reliable, observable, and productionready AI components, working closely with the AI Product Lead, Lead AI Architect, and Automation Engineers. Key Responsibilities Agentic System Development Build and implement agentic AI components, including: Toolusing agents Multistep reasoning and execution flows Planner, executor, and validator agent patterns Translate architectural designs into working, maintainable code Ensure agent behavior is bounded, predictable, and aligned with intent Prompt, Memory & Retrieval Engineering Develop p