Jobs
Interviews
Upskill
Job Alerts
Tools

Upskill and Grow with AI

Skill Gap and Learning Paths See what your target role asks for and learn it free

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on job portals effortlessly

Interview Questions Streamline interviews with ready-to-use questions

Companies Explore leading companies actively hiring talent

Home
>
Jobs in Pune
>
Mastercard
>
Senior AI Engineer

Senior AI Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Mastercard

Pune

Posted:4 days ago

Apply

Job Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior AI Engineer

Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth and innovation goals by delivering unparalleled data-driven intelligence and cutting-edge AI solutions. By harnessing proprietary data, frontier generative AI, and global expertise, B&MI helps businesses make smarter, faster, and more impactful decisions. We transform complex, multi-modal data into agentic systems and generative applications that drive measurable business outcomes and sustained competitive advantage. We're looking for a Senior AI Engineer, Generative AI & ML Engineering, for the Operational Intelligence Program within B&MI. In this hands-on role, you'll design, build, and ship production-grade agentic AI systems. These include agents that make extensive tool calls into enterprise services and APIs, handle complex multi-step workflows, and deliver secure, scalable, reliable results. You'll work across agent orchestration, tool calling, memory, retrieval, and LLMOps, help set the engineering standard for Gen AI development, and mentor other engineers on the team. Much of this work is strong backend engineering. If you bring deep experience building production services and have started building with LLMs, we'd love to Roles & Responsibilities

Architect and build the tool-calling layer that powers our agents: wrap internal services, data platforms, and external APIs as well-defined tools with clear schemas, contracts, and permissions.
Engineer reliable tool execution at scale, including parallel and chained tool calls, timeouts, retries, idempotency, error recovery, and graceful handling of tool failures or bad model outputs.
Develop high-performance Python backend services for LLM orchestration, covering async job handling, streaming responses, caching, rate limiting, and distributed workflows supporting high-throughput Gen AI operations.
Engineer state, memory, and context management subsystems so agents can maintain session continuity across long, multi-step, tool-heavy interactions.
Architect multi-agent and skills-based agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar, enabling autonomous reasoning, tool use, inter-agent coordination, and adaptive decision-making at enterprise scale.
Build observability for agent behavior, including end-to-end tracing of tool calls, measuring tool-selection accuracy, and debugging multi-step agent runs in production.
Build retrieval systems (RAG and Graph-RAG) where agents need grounded knowledge, using vector databases (e.g., Pinecone, pgvector, OpenSearch) and knowledge graphs (e.g., Neo4j, AWS Neptune).
Establish LLMOps and MLOps pipelines on Databricks (AWS), covering MLflow, prompt and agent evaluation, model lineage tracking, CI/CD, and monitoring.
Design multimodal generative AI pipelines that unify text, image, tabular, and graph data using modern transformer-based and foundation models.
Guide fine-tuning, prompt engineering, and alignment strategies (e.g., PEFT, LoRA, instruction tuning, RLHF) to adapt foundation models for specialized enterprise use cases, working closely with ML specialists.
Implement Responsible AI practices, including hallucination mitigation, bias detection, output safety guardrails, explainability, and compliance with data ethics standards.
Evaluate and productionize advances in agentic AI, multimodal models, and frontier foundation models, benchmarking them against enterprise performance and safety requirements.
Lead, mentor, and grow a team of engineers, and set the engineering standard for Gen AI development across the program.

All About You

Bachelor's or Master's degree in Computer Science, AI/ML, or Engineering, or equivalent practical experience.
A strong track record of building and operating production backend systems at scale, including distributed services, APIs, async processing, data stores, and observability.
Strong API design and integration experience: you know how to build services that other systems, and now LLMs, can call safely and reliably.
Excellent Python engineering skills, including async programming, API development (FastAPI or similar), and microservices, plus SQL proficiency.
Hands-on experience shipping at least one LLM-powered application to production that uses tool/function calling, such as agents that call APIs, query databases, or trigger workflows. This can be with OpenAI, Anthropic, Gemini, or open-source models.
A working understanding of Gen AI engineering patterns, such as prompt design, embeddings, semantic search, and agent memory, or a demonstrated ability to ramp up quickly on new technical domains.
Experience with at least one cloud platform (AWS preferred; Azure or GCP welcome).
Experience leading or mentoring engineers, plus strong communication and stakeholder management skills. You should be able to translate technical work into business value.
Nice to have: experience with Model Context Protocol (MCP) or building tool servers and connectors for LLM agents.
Nice to have: experience evaluating agent performance, such as tool-selection accuracy, task completion rates, or multi-step reasoning reliability.
Nice to have: exposure to fine-tuning (LoRA, PEFT, RLHF), multimodal models, knowledge graphs, or MLOps tooling like MLflow, Weights & Biases, SageMaker, or Bedrock.
Coming from a backend background? We value engineers who take AI from prototype to production as much as those who train the models. If you've built high-throughput systems and started applying those skills to LLM-powered products, we want to hear from you, even if you haven't worked with every tool listed here

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Skills Required

AI Solutions Generative AI GEN AI Backend Python Debugging AWS Ci/cd USE Cases Computer Science Ai/ml API Development

Learn the skills this job asks for

See your skill gap for Machine Learning Engineer →

Free courses, interview questions and practice for each skill.

Job Type

Full Time

More Jobs at Mastercard

Lead Software Engineer (Architect)

Pune

Experience: Not specified

Salary: Not disclosed

Manager, Product Data & Analytics

India

Experience: Not specified

Salary: Not disclosed

Senior Data Scientist

India

5 - 5 yrs

Salary: Not disclosed

Senior Specialist, Global Product Management (Anti-Money Laundering (AML) Solution)

Pune

Experience: Not specified

Salary: Not disclosed

Manager, Software Engineering | Data & AI Platform

Pune

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Mastercard

IT Services and IT Consulting

Purchase NY

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Senior AI Engineer