Backend Engineer, HRCS AI Engineering

Your role

Do you want to shape the future of HR through the power of AI? Do you want to build the backend systems that make intelligent, people-centric technology possible?


At UBS, we re-imagine the way we work, the way we connect with each other – our colleagues, clients and partners – and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.


We’re looking for a Backend Engineer to:


- design, develop, and continuously improve intelligent digital products and services that support our employees and HR stakeholders — with AI at the core.

- apply a broad range of modern engineering practices, from analyzing user needs and developing new features to automated testing, deployment and observability.

- ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements

- build observability into our solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues

- advocate for user and stakeholder needs, ensuring that AI solutions are explainable, ethical, and human-centric.

- share your knowledge openly, contribute to hiring and onboarding, and help shape a collaborative, forward-thinking engineering culture.

Your team

You’ll be part of the AI Engineering team within the GOTO Group HRCS Technology organization. Our mission is to simplify and digitize the HR application landscape while delivering AI-powered solutions that enhance the employee experience. Based in Pune, India, you’ll work in an agile, autonomous pod alongside product managers, designers, and fellow engineers, with a strong focus on collaboration, innovation, and continuous improvement

Your expertise

- Strong experience in Java and Spring Boot (including Spring Batch and Spring Cloud). Minimum 6+ years of relevant work experience.

- Proficiency in REST API and GraphQL schema design.

- Experience with NoSQL data modelling (e.g. Azure Cosmos DB), data streaming (e.g. Confluent Kafka), and authentication/authorization protocols (OAuth 2.0, MSFT EntraID).

- Familiarity with Azure Cloud Services (App Services, Azure Monitor, API Management).

- A collaborative communicator — you express ideas clearly in English and adapt technical content for diverse audiences, while working closely with product managers, designers, and engineers in agile settings.

- A strong commitment to quality, maintainability, documentation, and continuous learning.

- AI-related skills (e.g. Spring AI, LangChain, LlamaIndex, TensorFlow) are a strong plus.