Ai Agent Engineer in India

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. About the Role As an Agent / AI Engineer , you will build the AI layer of the GCC Intelligence Platform—the conversational agent users interact with. You will own grounding, retrieval, persona routing, session state, and permission-aware querying so the agent stays accurate, secure, and tenant-safe. What You’ll Do LLM & Agent Integration Integrate LLM APIs (e.g., AzureOpenAIor equivalent) for conversational workflows. • Build a grounding layer that anchors responses to real platform data (not model guesses). • Maintain prompt templates across multiple personas and use-cases. Retrieval, Permissions & Security Boundaries Implement intent classification and persona routing to the right KPI views. • Build the API

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Role: We are looking for a highly skilled AI Tool / Agent Testing Engineer to evaluate, validate, and ensure the reliability of AI agents, AI automation tools, and agentic workflows used across our analytics platform. This role blends test engineering, GenAI understanding, Python/PySpark proficiency, and agent development lifecycle knowledge. You will work closely with Data Science, AI Engineering, and Platform teams to ensure that AI agents behave predictably, safely, and in alignment with business and compliance requirements.

Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer, you'll join a 10-person team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams — including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end to end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, agentic frameworks like LangGraph, React, Redis and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world, and work closely with our US team and customers to shape the future of the industry. What you’ll be doing: Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph Develop, test, and maintain backend applications in Python and Java or GoLang Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications, including AI agent workflows in production Work with the DevOps team to deploy and manage applications in production (Kubernetes) Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space About the team: Our

We're Hiring Senior AI Engineer (Generative AI Azure) Remote Immediate Joiners Preferred Salary: Up to 12 LPA We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices. Technical Summary • AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts • Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability • Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service • RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients • Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus • Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes • Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant) • Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring • Nice to Have: Microsoft Copilo

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. Database Observability is a critical pillar of New Relic's platform strategy. We are looking for an experienced Engineering Manager (M3) to lead a senior, high-performing team building next-generation Database Observability products. Your team will own the entire lifecycle of critical telemetry data flows from lightweight database agents and high-throughput ingestion pipelines to intelligent DB recommendation engines and autonomous DB AI Agents. You will lead a team that includes senior and Lead-level engineers with deep domain expertise in distributed systems and AI. Your primary value will come from setting strategic technical direction, enabling their best work, and fostering a high-accountability culture while partnering closely with Product and Design to deliver features that directly drive New Relic's Database Observability. What you'll do Manage a full-stack engineering team (6–8 engineers) spanning backend systems, database telemetry, agent engineering, and UI workflows. Own end-to-end delivery sprint planning, roadmap execution, system quality, and operational excellence for critical database ingesti

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM: The Platform Engineering team builds the tools, infrastructure and ‘golden paths’ that let Tide’s engineers ship safely and quickly. We own everything from CI/CD pipelines and developer tooling to Tide’s service catalogue, including the Developer Productivity function, and our mission is to make the right way the easy way for every engineer at Tide — human or AI agent. ABOUT THE ROLE: As Head of Developer Experience, you will report directly to the Director of Platform Engineering and be responsible for how every engineer at Tide builds, tests and ships software. You will: Own the Developer Experience strategy for Tide, setting the vision and roadmap for developer tooling, CI/CD and the internal plat

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role: We are looking for a Senior Data Engineer to help build and evolve the data platform that powers critical business decisions and customer-facing experiences. You will own significant parts of our data architecture that is main powerhouse of DevRev Computer’s memory for accurate and efficient Answers. As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data requirements into reliable, high-quality data products. This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization . You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team. What you'll do: Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost. Design, build, and operate scalable data pipelines and data systems that reliably ingest, transform, store, and se

About the Role At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Customer Engineer, you own the technical customer relationship end to end. You run discovery independently, design integration and agentic workflow architectures for complex enterprise problems, and deploy solutions live with customers — often before they know exactly how to articulate what they need. You write optimized, production-grade code at speed, grounded in strong data structures and algorithms fundamentals, because compressing the time from customer problem to working solution is how FDE delivers its value. You bring genuine innovation to hard problems — your solutions are technically sound, elegant, and often non-obvious. You are the primary technical contact for 2–4 major enterprise accounts, you mentor FDEs on the team, and you are building the skills that will take you into Staff-level technical leadership. What You'll Do Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later Run customer discovery

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data. We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting , standardising metrics and reporting practices at scale , and enabling self-serve and AI-powered data solutions . Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption. This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governe

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role We are looking for a Quality Architect/Lead with hands-on experience building quality systems and has deep expertise in building and scaling test automation frameworks.The role requires an individual who applies systems thinking to solving complex problems. They should be able to understand the product from various perspectives and be able to effectively create testing programs that validate not just functionality but performance, reliability and user experience.DevRev is building a next generation AI native product that requires us to build novel test systems for the Agent AI platform. The role is mult-faceted and is going to continuously evolve with time. What you'll do Test Case Design and Documentation Actively use AI and intelligent agents to accelerate test generation, test maintenance, and coverage expansion. Leverage LLMs to convert requirements, user stories, and production incidents into high-quality automated test cases. Reduce reliance on manual test case creation by introducing AI-assisted automation workflows, with human review and ownership. Apply AI to optimize test selection, prioritization, and execution based on risk, code changes, and historical failures. Use AI to assist in identi

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the team The Apps & Experiences Platform team powers the systems and services behind all of our user-facing applications, including Snowsight, Snowflake Intelligence, and new mobile experiences. Our mission is to build innovative backend services, developer tooling, platform infrastructure, and AI-powered capabilities that enable exceptional product experiences at scale. As part of our team, you’ll work across feature development, platform engineering, infrastructure, and internal tooling to support both end users and developers. We care deeply about building systems that are reliable, scalable, maintainable, and performant. Snowflake is a high-growth AI Data Cloud company, and we’re looking for exceptional engineers to help us scale the next generation of our platform. A key part of this is our work on our internal AI developer agent, which is designed to fundamentally democratize end-to-end web app development across all engineering teams by translating product specs and designs into a fully functional, production-ready features. AS A SENIOR SOFTWARE ENGINEER FOR THE APPS & EXPERIENCES PLATFORM TEAM, YOU WILL: Design, build, and operate scalable backend services and platform infrastructure that power Snowflake’s user-facing applications. Contribute across th

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur