Project Management : In project management, the leader would participate or sometimes lead certain projects. This includes : The new system goes live. New scope transition. New site transition. The leader would be expected to: Support/Lead transition activities (including knowledge transfer, hiring, training, etc). Support the transition team in resource allocation/management. Involve in Hypercare
People-oriented mindset, highly accountable, agile, and results-oriented. Acts as a servant leader. Lives the Roche values and leadership commitments, has a growth mindset and drives a collaborative culture in the organization. Represent and support the desired ways of working (Agile, LEAN, ITIL, VACC). Ability to work in, co-create and contribute to a highly complex and team-oriented global environment
Ability to work in, and contribute to, a fast-paced and changing environment, where multiple priorities need to be effectively managed, while maintaining composure and flexibility in a structured and highly complex environment. Drive cost-conscious spending behavior to manage team expenses. Able to thrive in a high performing organization. Have a strong entrepreneurial mindset to trust in your capabilities and power to influence outcomes
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Seeking feedback and guidance from your manager and team to continuously improve your skills and performance.
You are currently pursuing a bachelor’s degree in engineering, specializing in Electrical, Electronics, Mechanical, Mechatronics, Computer Science, Industrial Engineering or related fields.
• To work closely with the project team in the areas of design, requirement gathering, implementation, coding and testing.
• To ensure all source codes are bug free, optimized, written and documented in compliance to company’s standard.
• Must be able to contribute as a team member in terms of providing input during the design phase; engage in discussion actively to resolve bottlenecks in the development process.
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Adapt and tailor technology solutions to ensure compliance with regional requirements, including security practices, data regulations and other local needs
Provide ongoing technical support and expertise to regional users, ensuring high system performance and minimizing operational disruptions
Contribute to the full application lifecycle, from initial concept and development through to deployment and ongoing maintenance and support
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Translate complex algorithmic ideas - syntax parsing, semantic chunking, custom routing - into reliable, production ready software components.
Build and rigorously evaluate prototypes for future AI initiatives, including open source small language models (SLMs), custom embeddings, and multi agent / cross validation patterns, backed by measurable retrieval and quality metrics.
Architect multi tenant data, identity, and authorization layers that meet enterprise security and compliance requirements.
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Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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