Senior AI Engineer

Job highlights

• Bachelors or Masters degree in Computer Science (or equivalent)
• We are looking for a skilled Senior AI Engineer with 8 to 13 years of experience in building production-grade AI or search systems,including hands-on experience with RAG
• . 8+ years of experience in building production-grade AI or search systems,including 2+ years of hands-on experience with RAG

We are looking for a skilled Senior AI Engineer with 8 to 13 years of experience in building production-grade AI or search systems, including hands-on experience with RAG. The ideal candidate will have expertise in Python/PySpark and respective frameworks, with a proven track record of tuning LLM prompts, embeddings, and fine-tuning loops to maximize results relevance and recall.

Roles and Responsibility

• Own end-to-end RAG solutions, including orchestrating chunking, embedding, ranking, prompting, and answer synthesis for production-grade GenAI assistants.
• Measure key performance indicators such as precision, recall, latency, and user adoption.
• Collaborate with engineers, UI/UX, and business experts to release improvements at pace.
• Lead and mentor a small team of AI engineers.
• Develop and implement data-driven solutions to complex problems.
• Work closely with cross-functional teams to achieve business objectives.

Job Requirements

• 8+ years of experience in building production-grade AI or search systems, including 2+ years of hands-on experience with RAG.
• Expertise in Python/PySpark and respective frameworks.
• Proven track record of tuning LLM prompts, embeddings, and fine-tuning loops to maximize results relevance and recall.
• Excellent written and spoken English skills, with comfort working with global teams.
• Bachelor's or Master's degree in Computer Science (or equivalent).
• Strong understanding of data structures, algorithms, and software design patterns.
• Experience with Agile development methodologies and version control systems like Git.
• Self-directed and proactive, with the ability to surface problems and drive them to resolution.
• Data-driven pragmatist who anchors decisions in metrics and user feedback, not hype.
• Calm under pressure, able to balance delivery speed with development quality.
• Learning accelerator who stays current with retrieval research and shares knowledge generously.

About Company

Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought, or other characteristics. In our inclusive and flexible environment, everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Keywords: Reference Code: 135004.