Shape the future of AI-native software engineering! This role invites motivated graduate engineers to contribute to the next generation of AI solutions.

Engage directly with our European delivery organization and the Head of AI Enablement, ABD Practice Europe. You'll focus on creating reusable AI accelerators, engineering assets, reference implementations, and Agentic SDLC capabilities for customer projects.

This is a practical engineering position for passionate technologists who thrive on learning and transforming innovative ideas into functional software.

Develop robust, reusable accelerators for Agentic SDLC and AI-native software development.

Engineer AI agents and sophisticated multi-agent systems utilizing hyperscaler platforms.

Construct prototypes, create reference implementations, and build reusable AI engineering components.

Work with cutting-edge technologies including RAG, tool calling, orchestration, evaluation, observability, guardrails, and LLMOps.

Experiment with and leverage modern coding assistants such as GitHub Copilot, Claude Code, and OpenAI Codex.

Assess and integrate emerging AI technologies, models, and agent frameworks.

Contribute to the design of cloud-native and enterprise AI architectures.

Foster collaboration with engineering and architecture teams across India and Europe.

Transform promising technologies into scalable, production-ready assets for customer delivery.

Highly motivated graduate engineers eager to dive into AI-native software engineering.

Passion for technology, a quick learning aptitude, and a drive to build working software.

Familiarity with concepts like RAG, tool calling, orchestration, evaluation, observability, guardrails, and LLMOps is beneficial.

Experience or strong interest in experimenting with AI coding assistants and frameworks.