AI Engineer

• Home/Jobs/AI Engineer
• AI Engineer
• Mastercard
• Pune
• 3-5 years
• Today
• $25.3K–38.6K/yr
• Full-time
• Onsite

Skills Required

• LLM
• Gen AI
• Agentic AI
• RAG
• LangChain
• Vector Database
• Prompt Engineering
• Python
• Apache Spark
• SQL
• Azure
• Databricks
• AWS

Description

Mastercard powers economies and empowers people worldwide by providing secure, simple, and accessible digital payment solutions. The Global Business Services Center Analytics and Automation team focuses on leveraging data and innovative technologies to drive business insights and operational efficiency.

Company: Mastercard

Role: AI Engineer

Experience

• Hands-on experience in developing and successfully deploying production-level AI applications

• Bachelors degree in Computer Science
• Bachelors degree in Data Science
• Bachelors degree in AI/ML
• Bachelors degree in a related technical field

• Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms
• Develop and maintain scalable AI/ML pipelines, data preparation workflows, and cloud-native integrations
• Assist in integrating AI capabilities with APIs, databases, cloud services, and internal applications
• Support deployment, testing, monitoring, and operational maintenance of AI/ML solutions following MLOps and LLMOps best practices
• Implement Responsible AI and AI governance practices including bias detection, hallucination mitigation, explainability dashboards, output safety guardrails, and compliance with data ethics standards
• Stay updated on emerging trends and technologies related to Generative AI, LLMs, Agentic AI and cloud platforms

• Abide by Mastercards security policies and practices
• Ensure the confidentiality and integrity of the information being accessed
• Report any suspected information security violation or breach
• Complete all periodic mandatory security trainings in accordance with Mastercards guidelines

• Exposure to Microsoft Fabric or Microsoft Copilot technologies
• Familiarity with containerization technologies such as Docker or Kubernetes
• Exposure to AI/ML frameworks, vector databases, or orchestration frameworks such as LangChain or similar technologies
• Strong analytical, problem-solving, and communication skills
• Eagerness to learn emerging AI technologies and work in a fast-evolving AI engineering environment

AI, Agentic AI frameworks, AI/ML workflows, Containerization, Docker, Kubernetes, APIs, Data pipelines, ETL processes, AI/ML frameworks, Orchestration frameworks, Software development lifecycle, Version control, Git

• Prepare for this role
• Recommended resources to build the skills for this position. Sponsored.
• Top 50 LLM System Design Interview Questions
• Zenaique
• Curated LLM system design questions from Zenaique.
• Top 50 Multi-Agent Systems Interview Questions
• Zenaique
• Curated multi-agent systems questions from Zenaique.
• Top 50 LangChain Interview Questions
• Zenaique
• Curated LangChain interview questions covering chains, agents, and memory.
• More LLM jobs
• AI Engineer
• Hollstadt Consulting
• Minnesota
• Today
• AI Engineer
• The Methodical Group
• United States
• Today
• Gen AI Engineer III
• Elevance Health
• Atlanta
• Today
• AI Developer Trainee
• Innomax IT Solutions Pvt. Ltd.
• Hyderabad
• Today
• GenAI Engineer
• IBM
• Pune
• Today
• Lead AI Engineer
• US-Based Product Company
• Bengaluru
• Today