📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company Mastercard 👥 Experience 1-3 years 🎓 Qualification Senior level. Hands-on with Python, SQL, AWS, GCP, Azure, APIs, CI/CD, AI / LLM agents, Microservices. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL AWS GCP Azure APIs CI/CD AI AI Engineer II at Mastercard — Full Details & How to Apply Mastercard is seeking an AI Engineer II in Pune, India , responsible for architecting backend services for LLM orchestration using Python and SQL . This role directly supports the execution of AI agents at scale, ensuring reliable performance and error recovery in production environments. It is part of Mastercard ’s technology-driven initiatives in digital solutions. This AI Engineer II role focuses on building high-performance backend services that enable efficient orchestration of large language models. The responsibilities include managing backend engineering workflows, implementing API integrations, and ensuring stable execution of AI agents through robust error recovery mechanisms. The role relies on hands-on technical expertise with backend systems and real-time service delivery. The job posting confirms that Mastercard is recruiting for an AI Engineer II in the technology industry, with responsibilities centered on backend service development. The role operates within a technical environment that emphasizes AI/LLM agent execution and system reliability. No other company-specific details are provided in the official posting. 2023, 2024, 2025, 2026 graduates should apply if they hold a Senior level. Hands-on with Python, SQL, AWS, GCP, Azure, APIs, CI/CD, AI / LLM agents, Microservices. Relevant technical / engineering background and have 1-3 years experience . The salary for this position is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , AWS , GCP , Azure , APIs , CI/CD , and AI / LLM agents . This role provides foundational experience in backend AI systems and microservices architecture, offering a clear path toward advanced AI engineering roles in scalable technology environments. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for AI Engineer II jobs , explore Mastercard recruitment in Pune, India jobs , and find more tech roles through our platform. Job Role & Responsibilities The AI Engineer II at Mastercard designs and implements the tool-calling layer for AI / LLM agents , enabling secure and scalable integration of internal services and external APIs through structured schemas. This role ensures backend services operate with high reliability, performance, and observability in a production environment. Architect the tool-calling layer that powers AI / LLM agents by defining schema contracts for internal APIs and external service endpoints. Engineer reliable tool execution at scale using Python , implementing timeouts , retries , and error recovery mechanisms to handle service failures. Collaborate with stakeholders to integrate backend services and data platforms using APIs and SQL for data retrieval and validation. Develop high-performance backend services for LLM orchestration using Python and async programming to reduce latency and improve throughput. Maintain and support the codebase for backend services , ensuring high availability and reliability through automated CI/CD pipelines. Document process flows and performance improvements related to tool execution and backend service development using SQL and Python logs. Troubleshoot production issues in AI model outputs and backend service performance using Python error tracing and cloud monitoring tools. Implement schema validation and input sanitization for tool execution using Python and APIs to prevent malformed requests and data corruption. This role demands direct ownership of the tool execution pipeline , where every Python script and API integration has measurable impact on system reliability and AI agent performance . Required Skills & Technical Competencies The AI Engineer II must possess a strong foundation in Python , SQL , and cloud platforms to build, deploy, and maintain scalable AI / LLM agents and backend services . These skills are directly applied in real-world systems at Mastercard . Technical Skills Python — advanced — used for building LLM orchestration services, implementing async programming , and managing tool execution with error recovery. SQL — intermediate — used for querying data platforms and validating input data in backend services before API calls. AWS — intermediate — used for deploying and managing backend services and AI agent infrastructure in production environments. GCP — intermediate — used for hosting scalable tool execution services and integrating with cloud data platforms . Azure — intermediate — used for deploying microservices and managing AI agent workflows in hybrid environments. APIs — advanced — used to wrap internal services and external data sources with standardized schemas and error handling. CI/CD — intermediate — used to automate deployment of backend services and tool execution pipelines with version control and rollback. AI — advanced — applied to design and implement LLM agents that interact with tool-calling layers and execute actions via APIs . LLM agents — advanced — used to build intelligent agents that orchestrate tool execution and manage service interactions via Python and APIs . Microservices — intermediate — used to decompose backend services and enable modular, scalable, and independently deployable components. When preparing your resume, emphasize Python code examples, CI/CD pipeline configurations, and API schema designs that demonstrate real-world tool execution and LLM orchestration experience. Eligibility Criteria This role is designed for candidates with a technical or engineering background , who have completed a degree in computer science or a related field and have hands-on experience with Python and cloud platforms . Must hold a degree in Computer Science or a related engineering discipline. Eligible batches are 2023 , 2024 , 2025 , and 2026 . Minimum 1 year of hands-on experience with Python , SQL , or cloud platforms is required. Academic performance is not specified, but a strong foundation in computer science fundamentals is expected. Experience with GitHub repositories, Python projects, or cloud-based deployments is expected. Portfolio showcasing Python scripts, API integrations, or cloud service implementations is required. Documentation & Portfolio Requirements Your resume must include a clear GitHub link to a Python project demonstrating tool execution or API integration , along with a brief description of the technical architecture and performance metrics . For this role, prioritize showcasing a Python script that implements tool execution with retries and error recovery , and a CI/CD pipeline that deploys a backend service on AWS or GCP . This directly mirrors the responsibilities and technical stack of the job. Salary for AI Engineer II at Mastercard 💰 Compensation Not Disclosed The advertised compensation for the AI Engineer II role at Mastercard is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Engineer II Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for developing AI applications and backend systems. SQL — Crucial for managing and querying databases effectively. AWS — Important for deploying AI solutions in cloud environments. GCP — Useful for leveraging Google Cloud services in AI projects. KodNest — Provides hands-on experience with coding and AI technologies. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python — Ensure to include relevant projects or roles. ❌ Using a generic resume — Tailor it to the specific responsibilities and skills listed in the job description. ❌ Listing technologies like AWS or Azure without context — Provide details on how they were applied in previous work or projects. ❌ Ignoring the specified experience requirement — Verify that you meet the 1-3 years of experience needed. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills to maintain credibility. ❌ Failing to verify the official Apply URL — Always check the URL before submission to avoid errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for AI Engineer II Optimizing your resume for ATS is crucial for increasing your chances of being shortlisted for this role. ATS Keywords to Include Python SQL AWS GCP Azure APIs CI/CD AI Microservices LLM agents backend engineering tool execution Resume Tips for This Role Highlight your hands-on experience with Python , as it is a critical requirement for the role. Emphasize familiarity with SQL and cloud platforms like AWS , GCP , and Azure . Showcase a project that involved backend development or AI technologies . Use exact keywords from the job description naturally in your resume. Avoid unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume, as they can detract from your credibility. How to Apply for AI Engineer II at Mastercard Apply Now — Mastercard Open the official apply URL and confirm the job title and company is correctly displayed. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience for the AI Engineer II role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Mastercard NexisGrow.com does not charge any fees for job applications. Mastercard Mastercard is a technology company based in Pune, India, offering payment systems and digital solutions. This AI Engineer II role is onsite and focuses on backend engineering within a technology-driven environment. The team builds backend services that power AI agents, wrapping internal services and external APIs into structured tools. They engineer reliable execution at scale, handling tool calls, errors, and performance with robust systems. This role supports Mastercard ’s AI-driven backend infrastructure by developing scalable, production-grade services for tool orchestration and LLM agent functionality. Early-career professionals gain hands-on exposure to AI, Python , AWS , GCP , Azure , APIs , CI/CD , and microservices—key tools used in real-world AI and backend engineering. Company Details Industry Technology Location Pune, India Connect With Us Careers Apply Now Website 🔗 mastercard.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 1-3 years of experience from the eligible batches of 2023, 2024, 2025, and 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, AWS, GCP, Azure, APIs, CI/CD, AI, and Microservices are crucial for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is 'Not Disclosed'. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Familiarize yourself with AWS, GCP, and Azure. 3. Understand backend engineering principles. 4. Prepare to discuss AI and LLM technologies. 5. Be ready to demonstrate problem-solving skills. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Pune, India. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to backend engineering, AI technologies, and collaboration with stakeholders in a technology-focused environment. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, AWS, GCP, and experience with backend engineering and AI technologies. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and stakeholders in an onsite setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at Mastercard Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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