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Full Stack Software Engineer 2c Codex Salary India in India

415 active opportunities · Updated October 2026

Explore current full stack software engineer 2c codex salary india jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

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PE
📍 India· Full-time
✓ Quality checked

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

GitRestAIGo
PE
📍 India· Full-time
✓ Quality checked

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.

PE
📍 India· Full-time
✓ Quality checked

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

GitRestAIGo
PE
📍 India· Full-time
✓ Quality checked

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

GitRestAIGo
CA
📍 Delhi NCR, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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

PythonJavaAngularSQL
CA
📍 Bengaluru, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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

PythonJavaAngularSQL
Z
📍 Pune, Maharashtra, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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

JavaScriptJavaAWSGit
WH
📍 Noida, India· Full-time· Remote
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

We are looking for Performance Marketing Specialists to join our team of high-performing paid marketing experts and strengthen our digital advertising efforts. If you thrive on running and scaling Facebook and Instagram campaigns, enjoy working with content, copy, and design teams, and know how to turn data into growth, we’d love to connect. This role is open to candidates with 4 to 8 years of experience. The scope will flex as Specialist or Manager depending on your expertise and leadership readiness. What you’ll do ✨ • Collaborate with marketing teammates across paid ads, content, copy, and design to launch and optimize campaigns on Facebook and Instagram • Guide campaign strategy, manage budgets effectively, and maximize ROI • Track and analyze performance metrics like CTR, CPC, CPM, ROAS, and CPA, and act on insights • Run structured A/B tests on creatives, copy, audiences, and landing pages • Stay current with platform updates, new ad formats, and targeting features • For more experienced candidates, help shape scaling strategy and support peer development What we’re looking for 📊 • 4 to 8 years of hands-on experience managing campaigns in Meta Ads Manager (Facebook, Instagram) • Proven ability to manage budgets and deliver ROI at scale • Metrics-driven, analytical and team-player, able to communicate insights clearly • Experience with Google Ads, YouTube Ads, or LinkedIn Ads is a plus • Familiarity with landing page tools, analytics platforms, or marketing automation a bonus About WIN 🌍 WIN Home Inspection is the #1 ranked residential inspection services company in the United States. We are the fastest-growing brand in our industry, powered by proprietary technology and highly scalable solutions designed to manage and support explosive growth. Recognized as the most innovative residential services company in the US, WIN is redefining how residential services are delivered at scale. Why join us 🚀 • Work with a full-stack marketing team that includes s

GitAIGoMarketing
P
📍 Gurugram, Haryana, India
✓ Quality checkedCompany trend -22.2%

About Paytm Paytm, a pioneer of digital payments in India, enables 450 Mn+ consumers & 49 Mn+ merchants to make and accept digital payments, alongside Financial & Commerce services. This scale is built on proprietary, full-stack technology that drives continuous innovation in India's digital economy. Paytm's model has proven successful at acquiring customers and merchants on payments, then cross-selling them financial services. Paytm plans to build on this success to expand internationally, leveraging its proprietary merchant acquiring stack, payment acceptance device, and SME Credit platform. About the Team The international team evaluates, plans, and executes market entry strategy in key international markets, with direct ownership of local execution and operations. Key activities include market research, forming and managing strategic partnerships, liaising with regulators and government authorities, working with consultants and experts, and driving AOP delivery - including launch readiness, operational roll-out, and day-to-day performance management of the local business. About the Role Paytm is looking for an experienced Senior Manager to own and drive its international expansion - from market entry strategy through to on-ground execution. Key Requirements 1. Market Research: Assess market and industry landscape — competitive positioning, pricing, commercial structures, distribution, and operating models — via primary and secondary research, translating findings into actionable market-entry and operating plans. 2. Partner Relationships: Identify and engage potential partners, shape collaboration models, lead negotiations, and close agreements within targeted timelines. 3. Business Plan: Co-develop financial/commercial models and strategic business plans with partners, and own delivery against plan once operations go live. 4. Project Management: Track international projects and AOP delivery, oversee the partner business, take corrective action as neede

AIExcelProject ManagementFinance
JT
📍 India
✓ Quality checkedCompany trend -100%

Remote Web Developer (Equity Partner 10%) Role Type: Founding Web Developer (Equity-Based) Location: Remote Experience: Freshers Welcome (Strong builders preferred) Compensation: 10% Equity (Vesting-Based) Cash Compensation: None initially About the Startup We are building two high-impact digital platforms: 1️ Solar Fintech Platform A fractional ownership platform where: • Users buy micro-shares (e.g., 100 units) of solar panels. • Once fully funded, solar panels are deployed to corporates. • Energy generation produces returns distributed proportionally to shareholders. Core Components: • Investor dashboard • Payment integration • Solar performance analytics • Admin & corporate PPA tracking 2️ Carpooling Platform (Similar to Mitfahrgelegenheit) A ride-sharing website connecting drivers and passengers traveling between cities. Core Components: • Driver ride listing system • Seat booking & payment • Route matching • Ratings & verification • Real-time notifications Role Overview As a Founding Web Developer, you will architect, build, and deploy both platforms from scratch. You are not just a coder you are a technical co-builder. Key Responsibilities Product Development • Develop full-stack web applications (frontend + backend) • Build scalable database architecture • Implement secure payment gateway integrations • Develop admin dashboards • Deploy MVP and iterate rapidly Solar Fintech Specific • Micro-share allocation logic • Wallet & transaction history system • Solar data API integration • ROI calculation engine • Investor performance dashboard Carpooling Platform Specific • Ride-matching algorithm • Location-based search • Booking & seat allocation system • Driver/passenger profile system Infrastructure • Cloud deployment (AWS / GCP / Azure) • CI/CD pipelines • Basic cybersecurity implementation • API architecture Skills Required • React / Next.js / Vue (Frontend) • Node.js / Django / Laravel (Backend) • SQL / NoSQL databases • Payment gateway integration exper

ReactNode.jsVueSQL
CA
📍 Bengaluru, India
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 a Senior Product Analyst ( Member Acquisition Marketing ) , you’ll be responsible for managing insights projects related to member growth & acquisition. As a Product Analyst you’ll be: Presenting insights to stakeholders & senior management, translating analysis into the 'so what?' and identifying possible actions to take as a result Using your SQL/Python expertise to interrogate our data to solve key business problems Focusing on improving performance marketing and growth initiatives by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives Ability to deal with ambiguity & form ambiguous questions into define

PythonSQLAITableau
CA
📍 Delhi NCR, India
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 a Senior Product Analyst ( Member Acquisition Marketing ) , you’ll be responsible for managing insights projects related to member growth & acquisition. As a Product Analyst you’ll be: Presenting insights to stakeholders & senior management, translating analysis into the 'so what?' and identifying possible actions to take as a result Using your SQL/Python expertise to interrogate our data to solve key business problems Focusing on improving performance marketing and growth initiatives by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives Ability to deal with ambiguity & form ambiguous questions into define

PythonSQLAITableau
A
📍 Noida, India
✓ Quality checkedCompany trend -100%

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

PythonMachine LearningAI
A
📍 Bengaluru, India
✓ Quality checkedCompany trend -100%

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

PythonMachine LearningAI
A
📍 Noida, India
✓ Quality checkedCompany trend -100%

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

PythonMachine LearningAI
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