Software Engineer I (A2) AI Engineering

• You will work closely with senior engineers, architects, product managers, and data teams to build scalable and secure AI solutions that improve developer productivity, business processes, and customer experiences., * 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.

• We are seeking a motivated Software Engineer I (A2) AI Engineering to support the development and implementation of AI-powered applications and engineering solutions. This role is ideal for engineers with 3-5 years of software development experience and an interest in modern AI technologies, including Large Language Models (LLMs), Generative AI, Retrieval Augmented Generation (RAG), GitHub Copilot, Claude, Databricks, and cloud-based platforms., * 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.

Preferred:

• Hands-on experience with GitHub Copilot, Claude, OpenAI, Azure AI Services, or similar AI platforms.
• Knowledge of RAG architectures, vector databases, embeddings, or prompt engineering.
• Experience with Databricks, Spark, SQL, or data engineering tools.
• Familiarity with Azure, AWS, or Google Cloud Platform cloud platforms.
• Understanding of Responsible AI, security, and data privacy principles.