Software Engineer- AI/Claude Developer

Join us as a Software Engineer- AI/Claude Developer where you will drive the adoption of AI-assisted engineering practices across the organisation. You will design, build, and operationalise Claude-powered developer workflows, plugins, and integrations, enhancing productivity, code quality, and automation across the engineering lifecycle. You will work at the intersection of AI, developer tooling, and enterprise platforms, leveraging cutting-edge large language models to transform how software is built, tested, and delivered.To be successful in this role, you should have experience:

• Hands-on experience working with Claude (Anthropic APIs) or equivalent LLM platforms for code generation, automation, and developer workflows.
• Strong expertise in prompt engineering, prompt templating, and response optimisation.
• Experience designing and implementing Claude-based plugins / tools / extensions, including (API-based tool integrations, Function calling / tool invocation patterns, Context-aware workflows for engineering tasks).
• Ability to design secure and governed LLM usage patterns (data masking, PII controls, auditability).
• Experience building custom integrations/plugins for (IDEs (e. g. , IntelliJ, VS Code), CI/CD pipelines (GitLab, Jenkins), Developer portals / internal platforms.
• Strong backend development experience for plugin services (Java / Spring Boot or Node. js / Python).
• Experience integrating AI into (Code review workflows, Test generation pipelines, Documentation automation, ChatOps / DevOps assistants).
• Experience in improving developer productivity using AI-assisted tooling.
• Ability to automate (Code scaffolding, Refactoring recommendations, Test case generation (unit, integration, contract), API documentation generation.
• Experience in building self-service developer tools and internal platforms.
• Strong expertise in building scalable microservices and REST APIs.
• Hands-on experience with (Cloud platforms (AWS preferred), Containerisation (Docker), Kubernetes-based deployments).
• Experience integrating AI services into event-driven architectures (Kafka preferred).
• Strong understanding of (Git-based version control, GitLab CI/CD pipelines, DevSecOps practices).
• Experience embedding AI (CI pipelines (auto code checks, review suggestion, Build validation and quality gates).
• Ability to drive test-first, quality-driven engineering culture.

Some other highly valued skills includes:

• Ability to act as an Individual Contributor Engineer (ICE) with end-to-end ownership.
• Strong analytical and troubleshooting skills for AI-integrated systems.
• Experience collaborating with cross-functional teams (DevOps, security, platform teams).
• Excellent communication skills for AI adoption and developer enablement initiatives.
• Hands-on exposure to multiple AI coding assistants (Claude, Copilot, GitLab Duo).
• Experience with ( Retrieval-Augmented Generation (RAG), Vector databases (e. g. , Pinecone, OpenSearch, Lang Chain / similar orchestration frameworks).
• Experience building enterprise AI platforms or internal developer portals.
• Build and maintain Claude-powered plugins and integrations.
• Enable teams to adopt AI-assisted development workflows.
• Define standards for AI usage in software engineering.
• Improve developer productivity metrics using AI automation.
• Collaborate with platform teams to embed AI into enterprise tooling.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Bengaluru.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of indust…