Senior AI Engineer

• *Summary**
• ----------

Salary

Competitive

Job Family

Data Science

Location

India \- Bangalore IT Capability Centre

Senior AI Engineer

Join Dyson’s global IT data community and play a key role in designing, building, and deploying scalable Generative AI systems. You’ll work in agile squads alongside data analysts, product managers, and AI/ML Ops engineers to deliver production\-grade AI solutions that drive business impact and innovation.

WHO YOU ARE

You are a hands\-on engineer who thrives on solving complex problems with elegant, scalable solutions. You’re passionate about building AI systems that go beyond prototypes—systems that are robust, observable, and deliver real value in production. You enjoy working collaboratively, learning continuously, and pushing the boundaries of what Generative AI can achieve in a business context.

You prioritize continuous learning—whether it's exploring new frameworks, experimenting with novel architectures, or deepening your understanding of AI infrastructure. You’re driven by curiosity and growth, and you actively seek opportunities to expand your skills while contributing to impactful, real\-world solutions.

WHAT YOU'LL DO

As a Senior AI Engineer you will

• Lead the design and deployment of scalable, production\-grade AI systems and agentic workflows
• Implement orchestration layers to manage multi\-step reasoning, tool routing, and agent coordination
• Apply context engineering techniques—including prompt design, retrieval augmentation, and memory systems—to enhance model performance and reliability
• Monitor and evaluate AI behavior in production environments, using tracing and evaluation frameworks to ensure robustness and transparency
• Develop reusable APIs and services that treat AI components as modular, product\-grade capabilities
• Define reusable components, frameworks, and standards across teams to accelerate AI solution delivery
• Mentor junior engineers and help shape best practices in code quality and evaluation.
• Collaborate closely with Data Science and AI/ML Ops teams to implement scalable delivery patterns for AI solutions
• Conduct experimentation using the scientific method, including A/B testing and hypothesis\-driven evaluation, to validate model outputs and user impact
• Partner with stakeholders to identify new stakeholders for AI integration and continuous improvement
• Share learnings, develop standards and educate the wider business on responsible and effective use of Generative AI

THE DYSON TECH STACK

Continuous learning is central to this role, empowering you to stay ahead of emerging technologies and contribute meaningfully to Dyson’s culture of innovation. You’ll be encouraged to explore new tools, frameworks, and methodologies, and to share your learnings with the wider team. You’ll work with a range of tools and platforms, including:

• Languages \& Frameworks: Python
• AI/ML Frameworks: LangGraph, ADK, A2A for agentic workflows and orchestration
• Web \& API Development: FastAPI for building scalable, production\-grade APIs and microservices
• AI Infrastructure: Langfuse or MLflow for tracing, evaluation, and observability; vector databases; and cloud\-native infrastructure for scalable, context\-aware AI systems
• Cloud Platforms: GCP, AWS, Azure and Databricks for deployment, data access, and infrastructure management

Our global reputation is priceless, and it always hangs on what we do next. Dyson is a unique technology enterprise. We are authentic, different and pioneering. Our biggest category today didn’t even exist a few years ago. Our next biggest category? That could be where you come in.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.