AI Engineer

AI Application Development

Develop and enhance AI-powered applications using LLMs, RAG frameworks, and modern AI services.
Build and integrate APIs, AI workflows, and automation solutions under the guidance of senior team members.
Support implementation of AI use cases using GitHub Copilot, Claude, Azure AI Services, OpenAI models, and Databricks.
Participate in evaluating and testing new AI tools and technologies.
Assist in developing prompt engineering and retrieval-based solutions for business applications.
Software Engineering

Design, develop, test, and maintain high-quality software applications and services.
Contribute to all phases of the Software Development Lifecycle (SDLC), including development, testing, deployment, and production support.
Follow engineering best practices for code quality, security, performance, and maintainability.
Develop REST APIs, microservices, and cloud-native applications.
Participate in code reviews and continuously improve development practices.
Data & AI Engineering

Support development of data pipelines and AI-ready datasets using Databricks, Spark, SQL, and related technologies.
Assist in implementing vector search, embeddings, and retrieval solutions for AI applications.
Monitor and troubleshoot AI application performance, reliability, and operational issues.
Analyze data and model outputs to improve solution effectiveness and user experience.
Collaboration & Delivery

Work closely with product managers, business stakeholders, data engineers, and senior developers to deliver AI solutions.
Participate in Agile ceremonies, sprint planning, backlog refinement, and team discussions.
Document technical designs, implementation approaches, and operational procedures.
Communicate progress, risks, and challenges effectively within the team.
Security & Responsible AI

Follow Mastercard security, privacy, and Responsible AI guidelines during solution development.
Support testing and validation of AI solutions for accuracy, reliability, and compliance.
Participate in risk assessments and quality reviews as required.
Qualifications Required:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
3-5 years of software engineering experience.
Experience with one or more programming languages such as Java, Python, or JavaScript.
Understanding of software development fundamentals, APIs, databases, data structures, and cloud technologies.
Exposure to AI/ML concepts, Generative AI, LLMs, or machine learning solutions.
Experience with Git, CI/CD pipelines, and Agile development methodologies.
Strong analytical, problem-solving, and communication skills.