Engineer - AI Platform

Overview

Design, develop and improve software that provides business, platform and technology capabilities for customers and colleagues, using various engineering methodologies. This is an AI Platform engineering role.

What you'll do

• Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks and tools.
• Ensure code is scalable, maintainable and optimized for performance.
• Collaborate cross-functionally with product managers, designers and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaborate with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities.
• Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implement effective unit testing practices to ensure proper code design, readability and reliability.

What you'll need

• Software engineering on cloud (3+ years) building applications at scale on AWS, Azure or GCP.
• Python (preferred) or Java/Go, including REST APIs, async frameworks and clean, testable code.
• Hands-on GenAI/LLM experience: calling LLM APIs, prompt building, RAG patterns, embeddings.
• Agentic AI framework experience (LangGraph/LangChain or Google ADK) and Docker/Kubernetes basics.

Nice to have

• Observability: OpenTelemetry, structured logging, distributed tracing.
• OPA/Rego or access control systems.
• AI safety concepts: prompt injection risks, PII handling, content filtering.
• IaC (CloudFormation/Terraform) and GitOps workflows.

Details

• Location: Bengaluru (Barclays office at Maruthi Onyx, TESCO TSA); the role is based in the Bengaluru and Pune offices.
• Candidates may be assessed on risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills.