Full Stack Software Engineer 2c Api Experience Jobs

Sales Excellence Lead, 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 Sales Excellence Lead within the Inference and Agentic AI organization to drive sales effectiveness, funnel governance, and sales enablement across Paytm's AI products. This role will work closely with sales leadership, business teams, product teams, and marketing teams to improve sales productivity, strengthen pipeline conversion, and accelerate revenue growth. The role will own sales review cadences, performance tracking, enablement programs, product readiness, and sales execution excellence across enterprise and mid market segments. The ideal candidate combines analytical rigor with strong stakeholder management and a passion for building scalable sales processes and enablement frameworks. Key Responsibilities: Sales Performance and Funnel GovernanceOwn the operating rhythm for weekly, monthly, and quarterly sales reviews across enterprise and mid market sales teams. Track and analyze funnel performance across lead generation, opportunity creation, pipeline progression, proposal conversion, closures, activation, and expansion. Identify bottlenecks, conversion leakages, and productivity gaps across sales channel

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

Client Onboarding Manager – Inference & Agentic AI | Paytm (Noida) About the Role 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. Key Responsibilities Own client onboarding from sales handover to go-live. Understand client workflows, systems, and integration requirements. Coordinate with Product, Engineering, and Client teams for seamless deployment. Manage onboarding timelines, milestones, and stakeholder communication. Conduct client training sessions and drive product adoption. Track onboarding KPIs, client satisfaction, and implementation success. Gather client feedback and support continuous product improvements. Ideal Candidate 2–5 years of experience in Client Onboarding, Implementation, Customer Success, or Solutions Engineering. Experience in SaaS, Fintech, Enterprise Technology, or AI products preferred. Good understanding of APIs, integrations, CRM systems, and enterprise workflows. Strong project management, problem-solving, and stakeholder management skills. Excellent communication and client-facing abilities. Bachelor’s degree in Engineering, Business, or related field. Location: Noida Why Join? Be part of Paytm’s fast-growing AI business and work closely with enterprise clients to deliver cutting-edge AI-driven automation solutions at scale.

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 an Enterprise GTM Lead to own the go to market charter for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead business managers and client onboarding managers, and will work closely with enterprise sales teams to drive pipeline, deal conversion, onboarding, and client success. The role sits at the center of Paytm’s enterprise AI charter and involves shaping GTM strategy, enabling sales teams, supporting client pitches, structuring commercials, and ensuring strong post sale execution. The candidate will be responsible for building a repeatable enterprise sales motion for Paytm AI agents, including Pi Commerce and future AI products. The role requires strong commercial judgment, enterprise stakeholder management, execution discipline, and ability to work across sales, product, technology, finance, and marketing teams. Key Responsibilities Enterprise GTM Strategy and Business Ownership Own the enterprise GTM strategy for Paytm AI agents across existing and new enterprise clients. Build and execute sales enablement, pipeline generation, deal conversion, onboarding, and account expansion plans. Work with leadership to define target segme

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

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

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 ROLE: As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling. This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform. We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through

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 ROLE: As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling. This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform. We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through

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 ROLE As an Engineering Manager at Tide, you’re an experienced Full Stack Engineering Leader with strong people-management skills, comfortable operating at scale and driving impact through well-designed platforms. In this critical role, you will lead a cross-functional engineering team (comprising Backend, Mobile, and Web engineers) and partner closely with Product Management to own and lead our global In-Person Acquiring products. In-Person payments currently account for a significant majority (65%+) of our Acquiring revenue in key markets, making this a highly visible, high-impact domain. You will own the technical direction and end-to-end execution of systems that power our in-house ePOS solutions, Tap to Pay

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 ROLE As an Engineering Manager at Tide, you’re an experienced Full Stack Engineering Leader with strong people-management skills, comfortable operating at scale and driving impact through well-designed platforms. In this critical role, you will lead a cross-functional engineering team (comprising Backend, Mobile, and Web engineers) and partner closely with Product Management to own and lead our global In-Person Acquiring products. In-Person payments currently account for a significant majority (65%+) of our Acquiring revenue in key markets, making this a highly visible, high-impact domain. You will own the technical direction and end-to-end execution of systems that power our in-house ePOS solutions, Tap to Pay

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We’re building a world class Marketing team at Zocdoc -- and we’re growing fast! As an Associate Web Developer, you'll own the technical development and health of Zocdoc's provider-facing website — a core channel that helps connect healthcare providers with millions of patients. The ideal candidate is a strong full-stack WordPress developer who brings deep knowledge of web best practices, a point of view on site reliability and security, and a solid understanding of website architecture. You research before you build, care about doing things the right way, and can make sound technical decisions independently. It's a great opportunity for a thoughtful, technically rigorous developer to make a big impact on a highly visible part of the business. You’ll enjoy this role if you are... Curious about trying new things, challenging assumptions, and solving problems in creative ways Excited by the challenge of owning a live production web property end-to-end — from updates to full builds Able to see the big picture and translate high-lev

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Powering the METCA AI & Sovereign Cloud Revolution As Everpure , we are transcending traditional storage to deliver the Enterprise Data Cloud - a unified architecture engineered to fuel the world’s most ambitious AI, Deep Learning, and HPC projects. The METCA region is a global epicenter for AI infrastructure investment, characterised by massive capital flowing into Tier-1 sovereign GPU clouds (CSPs, Neo-scalers) and enterprise AI factories. We are seeking a Battle-Trained, High-Conviction Hunting Systems Engineer (SE) to serve as our technical tip of the spear. This is not a passive, box-pushing relationship management role. You will partner aggressively with an Enterprise Account Executive to target, break into, and land the largest AI infrastructure projects in the market, displacing legacy architectures and securing net-new footprints. WHAT YOU'LL DO Execute High-Impact Hunting: Partner closely with Account Executives to actively map out and break into net-new enterprise accounts, sovereign GPU clouds, and high-performance computing clusters. Architect the AI Factory: Design high-performance, multi-tenant data pipelines. Move beyond basic storage architecture to design full-stack environments, optimising how data nodes interact within massive GPU fabrics. Drive Technical Consensus: Lead deep-dive architectural workshops with customer GPU cluster architects while simultaneously translating complex en

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a