Senior Ai Platform Engineer in India

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

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Senior Software Engineer(AI/ML),Trust - India The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform. The Difference You Will Make: As part of the Trust Engineering team, you will work in a team of talented software engineers to help us build intuitive & delightful experiences, strengthen our current offerings, and deliver new products to strengthen our Trust defenses. You will play a significant role in shaping the technical vision and delivering flexible, efficient and scalable solutions to stay on top of the ever evolving attack vectors and make Airbnb the most safe and trusted community. There are still many unsolved problems to tackle in both online and offline risk, and we're looking for talented engineers to solve

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We're looking for a Senior Backend Engineer to help us reinvent Postman's Notifications Platform for the next generation of AI-powered, agent-driven experiences. As Postman evolves to support agents and autonomous workflows, notifications become much more than simple alerts. They need to be contextual, intelligent, reliable, and deeply integrated into how users interact with the platform. You'll play a key role in building the foundation that makes that possible. This isn't a role focused on maintaining an existing system. It's an opportunity to rethink and rebuild a critical platform from the ground up that will power notification experiences across Postman for years to come. You'll have significant influence over the platform's architecture, reliability, and developer experience, working closely with teams across the company to build something scalable, intuitive, and easy to adopt. What You'll Do As a Senior Backend Engineer on the Messaging team, you'll help design and build the next generation of our Notifications Platform. Some of the things you'll work on include: Reimagining the platform to support agentic,

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

SPECIFIC JOB RESPONSIBILITIES Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. EXPERIENCE REQUIRED Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. QUALIFICATIONS, SKILLS, & KNOWLEDGE Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is 35,000- 45,000]. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays, and paid sick time. Total compensation, including base salary to be offered, will depend on elem

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About the Team : The Identity and Access Management team is responsible for building a secure, reliable, and seamless identity platform for all Postman users. This team owns the systems behind authentication, session management, access control, service accounts, invites, and other foundational identity capabilities that power the product. Postman’s identity layer is a critical part of the product experience. It sits on the path of every authenticated request and enables users, teams, and systems to access Postman securely and collaborate effectively. The team works on a mix of core platform improvements, new product capabilities, and reliability/security investments. What You’ll Do: Design, build, and evolve backend systems that power Postman’s identity and authentication platform. Own projects end to end: clarify requirements, drive technical design, implement solutions, manage rollout, and support production. Work closely with Product, Design, and Engineering teams to scope, build, test, and launch new features and platform improvements. Improve system reliability, scalability, observability, and operational readiness for service

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

Senior Software Engineer (Backend) About Team Cloud Platform Engineering group designs, builds and manages platforms that allow Myntra’s tech product to be secured, reliable, deployed and run at scale. These horizontal platforms leverage cloud hosting platforms and ensure all Myntra’s hostings are agnostic to Cloud vendor. We also build a number of production automation like provisioning of infrastructure at scale and manage complex access management on servers. We have developed numerous in-house tools and platform for load/stress testing, zero trust, security and compliance, CI/CD, Observability at scale. And, we aggressively adopt from open sources and try to contribute back to the community. Tools and Platform Engineering This team builds and maintains centralized and high-scale platforms for Observability (centralized log collection, metric systems, monitoring systems), Security & Compliance (access management, secret management, database access, change management systems, Authentication and Authorization of services etc). The platforms developed by these teams are centralized tools used by all engineering teams for database access, and changes, infrastructure provisioning, on-call scheduling, onboarding new monitoring etc. The vault system and APIs, developed, deployed and managed by this team, is being used by all Myntra’s production services. This team consists of full-stack developers who are skilled in Python, Golang, ReactJs. Roles and Responsibilities Design, build and maintain central platform products to improve the security posture of Myntra Write maintainable, scalable, and efficient code. Design and architect technical solutions for the developer community at Myntra Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, code reviews, etc. Follow scrum sprint cycles and commitment to deadlines. Identify security gaps in or for software platforms and incorporate them into requirements

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Senior Software Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a senior individual contributor role for a hands-on system engineer who can set technical standards, establish integration best practices, and partner with cross-functional teams to automate complex business workflows at scale. What You'll do : Lead technical design and execution for automation initiatives within the team, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows , API gateways, and async orchestration workflows using AWS architectures and iPaaS platforms. Build reusable frameworks , developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Serve as a technical domain expert on AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Mentor team members and participate in cross-functional design reviews , instilling a platform engineering mindset and raising the b

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Site Reliability Engineer you will champion all things pertaining to reliability at Okta for Auth0. Working closely with the Product Engineers, Quality Engineers, Platform Engineers and Architecture teams, your primary focus will be on ensuring production systems remain operational at all times, while continually setting and achieving long-term performance, reliability and scalability goals in a platform with an exponential growth plan for the coming years. With Okta’s increased dedication to ensuring customer availability expectations are exceeded in every way, you will play a key role as we evolve our system architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access to business-critical enterprise and consumer applications. Skills Exceptional communication skills, including technical writing in the English language Systematic problem-solving approach, coupled with a strong sense of ownership and drive Understanding of microservices, cloud infrastructure (AWS, Azure), databases (SQL, No-SQL, Key/Value), containers (docker, kubernetes), web technologies (web sockets, http) and networking (SSL, routing, VPN) Live and breathe SLIs, SLOs, error budgets and SLAs Strong belief in automating everything and reducing toil for yourself and teammates Loves to work as a team, but is able to work effectively in a remote environment where tasks may be self-driven Knowledge

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta & the TDI Dev Prod Engineering Team : Technology, Data, and Insights (TDI) is on a mission to accelerate Okta's scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. The TDI DevProd Engineering team owns the foundational CI/CD platforms that power Okta’s business, spanning cloud infrastructure, delivery pipelines, and AI platform integration. We are a team of builders who design and operate at scale. Currently, we are in the middle of a strategic transformation: evolving our cloud practice from a self-service model into a managed, opinionated platform that the entire business can rely on for rapid, secure, and reliable software delivery The Opportunity : As a Senior Software Engineer for TDI DevProd Engineering, you will serve as the technical authority for how we design, build, and evolve the cloud infrastructure underpinning our AI platform and the broader workloads running across Okta. You will define the CI/CD architectural standards, GitOps patterns, and automation strategies that the DevProd team builds toward. In this role, you will be a key partner to AI, security, and productivity architects as we scale Okta's cloud capabilities to meet increasing business demand. This is a hands-on, high-impact builder role. We are looking for someone who has successfully shipped and scaled cloud in

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and