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Python Engineer Agentic Ai Salary India Jobs

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8mo ago

Modern software runs on open source, and managing the compliance, security, and regulatory complexity that comes with it is one of the biggest problems facing engineering and legal teams today. FOSSA is the platform they use to address these challenges. We help thousands of organizations automate license compliance, prioritize vulnerabilities, generate and operationalize SBOMs, and meet regulatory requirements. Whether it's scanning AI-generated code for IP risks or helping a company through M&A due diligence, FOSSA gives teams the confidence to ship software they trust. FOSSA is a rapidly growing series-B company with a truly distributed team. While our roots are in San Francisco, our growing team has members in several countries across many time zones. We’re always working to find the perfect balance of effective approaches to distributed work, while maintaining the direct personal connections that help us work better together and love our jobs. Your Mission You’re a Sr. Customer Success Engineer that thrives on technical challenges and going deep with customers to help them accomplish their goals. Exceptional work ethic is second nature to you, and you welcome a certain level of ambiguity. You understand that customers are what make a company and are willing and able to bridge the gap, narrow or wide, between customer expectations and what FOSSA delivers today. Simultaneously, you do not hesitate to speak up internally, you constantly seek to identify and improve technical processes and eliminate obstacles. You can be polished and well spoken in front of customers, articulating complex technical situations in a simple and concise manner to non-technical audiences. You can also be “gloves off” and tell the unvarnished truth in the right circumstances. Your technical acumen in helping customers is strong, and you are able to adapt to the different personas that interact with FOSSA (Lawyers / IP Councils, Project Managers and other Intermediaries, Engineer

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Figma
📍 Ca New York• Full-time• $185K – $376K/yr
8mo ago

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines. We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Drive technical roadmap and strategy for the Build Systems team Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost

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Sierra
📍 San Francisco• Full-time• $150K – $230K/yr
8mo ago

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Implement Go-to-Market software for our marketing, sales, and agent development teams Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand Build an

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Ramp
📍 New York• Full-time• Remote• $168K – $275K/yr
9mo ago

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The team owns the core experience that helps finance teams control, automate, and optimize company spend. We build the engine that powers Ramp’s card and expense workflows—from card issuance and spend limits to approvals, policy enforcement, and real-time insights. Our systems handle billions of dollars in transactions and integrate deeply with Ramp’s AI platform, financial infrastructure, and partner ecosystems (banks, ERPs, HRIS). As a backend engineer on this team, you’ll work across product surfaces that are central to Ramp’s success: cards, approvals, spend controls, and automation intelligence. What You’ll Do Design, build, and scale backend systems that power spend controls, approval workflows, and card transactions at massive scale Collaborate cross-functionally with product, design, and data to deliver intelligent, user-first experiences for finance teams Integrate with Ramp’s internal AI platform to automate spend policy enforcement and anomaly detection Own complex projects end-to-end — from architecture to deployment and o

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O
9mo ago

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

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9mo ago

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 Solutions Engineering Team We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform. The Solutions Engineer, Auth0 Opportunity Reporting to the Sr. Manager, Solutions Engineering, Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. What you’

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Stripe
📍 New York• Full-time
9mo ago

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do Manage and architect multi-tenant infrastructure that serves billions of requests every month Design our build and deploy systems across the stack, from SDKs to apps to high-traffic APIs to complex secure enclaves, and more – all for a team that ships daily Drive observability across our product and help keep our systems up and performant in our role in the most critical parts of our customers' stacks Advocate for making the right technical investments at the right time in a company with ever-evolving technical needs Who you are Minimum requirements 8

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Scale AI
📍 Argentina• Full-time
9mo ago

Software Engineer Argentina; Uruguay Software Engineer - Robotics & Autonomous Systems Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems. You Will: Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets Build ML training and fine-tuning pipelines using Scale's robotics data Work across backend (Python, Node.js , C++), and frontend (React, TypeScript) stacks to build end-to-end solutions Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development Design comprehensive monitoring and evaluation frameworks for robotics models and data quality Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors Collaborate with ML engineers and researchers to bring robotics research into production Deliver features at high velocity while maintaining system reliability and performance Ideally, You Have: At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. Strong programming skills in Python and TypeScript/Node.js for production systems Experience with React and m

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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Enterprise Agents Engineering Team at SpaceXSI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB PREFERRED SKILLS AND EXPERIENCE: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response stre

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Scale AI
📍 San Francisco• Full-time• From $180K/yr
10mo ago

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You’ll Do Own major full-stack product areas , driving features from design through production deployment. Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. Adapt quickly —learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience 5+ years of full-time engineering experience , post-graduation. Strong experience developing full-stack applications using React, TypeScript, and Python . Experience scaling or shipping products at high-growth startups . Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). Proficiency with SQL and modern API development. Experience with Kubernetes , containerization, and microservice architectures. Experience working with at leas

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Linear
📍 United States• Full-time
10mo ago

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. In this role, you will serve as the primary technical partner for our most strategic prospects and customers. You’ll play a dual role: driving complex technical engagements through end-to-end demos, migrations, and integrations, and accelerating ramp for new sales hires by codifying best practices. You will showcase our product’s value to prospects, uncover challenges and architect tailored solutions, drive successful sales evaluations, and champion customer needs internally. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Articulate Linear’s architecture, data model, and integration patterns to engineering and product teams; deliver tailored technical presentations and deep-dive demos for key stakeholders. Design, plan, and execute large-scale migrations, custom configurations, and API integrations; troubleshoot proactively to ensure seamless onboarding. Build and maintain realistic demo instances that mirror enterprise workflows, scale tests, and feature toggles—enabling sales reps to showcase Linear’s capabilities in context. Collaborate with Sales

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Sentry
📍 San Francisco• Full-time• Remote• $140K – $160K/yr
10mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role: The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that: Developers can effectively identify and resolve slowdowns and errors in their applications. Development teams increase developer productivity and customer satisfaction. In this role you will Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value. Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product). Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption. Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered. You’ll love this job if you Enjoy talking about technology and interfacing with engineers and engineering leaders. Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. Love flexing your creative b

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About the Team Revenue Platform sits at the intersection of customer experience, financial precision, and enterprise-grade reliability. We build both end-user experiences and the underlying platform capabilities that power invoicing, billing, payments, and revenue recognition across OpenAI. Our work spans high-leverage customer surfaces and deep, reusable platform primitives used by multiple teams. These are foundational systems that will support OpenAI’s growth for years to come, and we’re looking for engineers who care deeply about craftsmanship, correctness, and building platforms and experiences that scale gracefully and are a joy to build on. OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving that mission requires more than great models, it demands a world-class commercial platform that enterprises can trust. The Revenue Platform team enables organizations to confidently adopt, scale, and manage their usage of OpenAI products by providing reliable, extensible financial infrastructure and shared services that power the broader ecosystem. We’re looking for a full-stack engineer to take end-to-end ownership of critical revenue workflows and the platform abstractions behind them. You’ll work across APIs, data models, shared services, and user interfaces to solve hard problems in scale, correctness, and usability. Partnering closely with Product, Finance, Sales, Operations, and other engineering teams, you’ll turn complex business requirements into durable platform capabilities, raising the bar on engineering quality and developer experience as our products and enterprise footprint grow. About the Role As a Full Stack Engineer on the Revenue Platform team, you will design, build, and operate platform services and user-facing interfaces that form the backbone of OpenAI’s commercial engine. You’ll collaborate with product, design, finance, and engineering partners to deliver intuitive customer experiences while also

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Herald
📍 New York• $140K – $200K/yr
11mo ago

About Us Herald is transforming how commercial insurance gets sold. We combine modern API infrastructure with industry-specific AI that can read emails, extract data, generate quotes, and guide brokers through submission workflows end-to-end. The result: faster placement, cleaner operations, and meaningful revenue growth. The market is huge, the need is obvious, and the product we’re building doesn’t exist yet. If you want to help shape the operating system for modern insurance, we’d love to work with you. We’re a team of insurtech veterans with experience at At-Bay , Kin , and Insurify . We’ve raised our Series A funding from top-tier VCs ( Lightspeed , Brewer Lane, Afore , Underscore ) along with a panel of insurtech founders ( At-Bay , Marble ), insurance executives ( CRC ), and early employees of other successful API infrastructure companies ( Plaid , Alloy ). The role Herald is building Babbix, an AI-native platform that commercial insurance brokers use to create submissions and get quotes directly from their inbox. It orchestrates broker workflows end-to-end by combining classification pipelines, data extraction models, and a broker-facing web interface. Delivering high-quality product experiences and shipping new AI-driven capabilities are core to our success. As a Software Engineer on the Babbix product, you’ll drive major product initiatives from inception to delivery. You’ll design, build, and scale the systems that power our AI workflows, from APIs and data pipelines to model orchestration and integration with external partners. You’ll collaborate closely with brokers and internal teams to turn ideas into production-ready features that make our AI output transparent, accurate, and trustworthy. Why This Role Matters Commercial insurance is one of the last major industries still powered by email. Every submission, quote, and policy must be manually processed by brokers, slowing them down and costing them deals. By building ne

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Figma
📍 Ca New York• Full-time• $153K – $376K/yr
11mo ago

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Full Stack Engineer, you’ll have the opportunity to build both the products and the platforms that empower millions of users—from startups to Fortune 500 companies—to create and collaborate in real time. Whether you’re designing core features, improving developer workflows, scaling enterprise infrastructure, or launching entirely new products, your work will directly shape the future of how teams bring ideas to life. You’ll take on complex technical challenges across the stack, building intuitive user experiences, optimizing performance in real-time collaborative systems, and designing secure, reliable, and scalable systems to support Figma’s rapid growth and global expansion. Our engineers are highly cross-functional, partnering closely with Product, Design, Research, and Data to deliver best-in-class experiences. If you’re excited to work across the stack, push the boundaries of product development, and help scale the systems that power Figma, we’d love for you to join us. This opportunity applies to openings at varying seniority levels across our teams, including but not limited to Figma Editor, FigJam, Figma Slides, Figma Sites, Figma Buzz, Growth & Monetization, Internal Tools, Frontend Platform, and our cross-product Foundations team. We’ll discuss more specifics about open roles during the interview process. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and sh

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