Job Title

Engineering Manager Generative AI at Cover GeniusAbout The CompanyCover Genius is a Series E insurtech that protects the global customers of the world''s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We''re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia''s largest company, Shopee. Our partners integrate with XCover, our awardwinning insurance distribution platform, to embed protection for millions of customers worldwide each year.Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastestgrowing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commits itself to diverse cultural programs, in particular "CG Gives" which makes social entrepreneurs out of us all and funds development initiatives in global communities.Bold, Authentic, Purposeful and Inspired. Our people are not Perfect, Traditional, Complacent or Cautious.About The RoleWe''re seeking a handson Engineering Manager Generative AI to lead and grow the team building our nextgeneration AIpowered business platforms. This is a highimpact role for a leader who is technically deep. You will not just manage people; you will drive the technical strategy for how we apply Large Language Models (LLMs) and Deep Learning to realworld business problems. You will lead a team of engineers in leveraging a diverse suite of AI technologies to architect secure, productiongrade solutions that solve complex business challenges. You will ensure our underlying AI infrastructure remains scalable, robust, and costoptimized across all deployments.Key ResponsibilitiesMentor and grow a crossfunctional team of AI and software engineers. Foster a culture of technical excellence, psychological safety, and rapid experimentation.Architect and build AInative services, moving from prototype to production, including designing advanced RAG (RetrievalAugmented Generation) pipelines and orchestrating agents for multilingual support and product distribution.Establish best practices for GenAI, MLOps, including Prompt management, model deployment, cost management, responsible AI and so on.Actively participate in code reviews, design docs, and architectural discussions. While you won''t write code every day, you are capable of diving into the codebase to unblock the team or fix critical issues.Serve as the bridge between Product and Engineering, clearly communicating the capabilities and limitations of current deep learning models and GenAI technologies.Skills & ExperienceWhat you will have:Minimum 7 years of Python backend or fullstack software engineering experience with at least 2+ years in people leadership role.Proven track record of shipping AI/ML products to production for at least 3 years.Deep familiarity with the modern AI stack (GenAI/Agentic Frameworks, Vector DBs, PyTorch, Kubernetes).Proficient in establishing deployment pipelines that automate the transition from model experimentation to production deployment.Skilled in optimising model serving for highscale production environments.You understand the fundamentals of Transformer architectures, embeddings and theories behind LLM finetuning well enough to guide the team on advanced techniques.Experience managing SLAs, uptime, and incident response for critical production services.What you will bring:You know that AI isn''t the solution to every problem. You prioritize simple, robust engineering over hype.You are selfmotivated and continuously study the new practices and tooling in data engineering.Curious, selfdriven learner who keeps pace with the fastmoving GenAI ecosystem and actively shares knowledge with the team.Embodies CG valuesbold experimentation, purposeful innovation and authentic collaboration across diverse, global teams.The ability to analyze business problems and frame it for AI, critically evaluating model outputs, questioning assumptions and identifying potential biases.BenefitsFlexible Work Environment our teams are hybrid. We work from home on Wednesdays and Thursdays and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times. We also have the added bonus of a Wellness day a month.Employee Stock Options we want our people to share in our success, we reward them with ownership for their contribution in creating a worldclass company.Work with likeminded people who are passionate about both the work we''re doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system.Social Initiatives.Sound interesting? If you think you have the best composition of the above, send us your resume and let''s chat!Cover Genius promotes diversity and inclusivity. We don''t tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy. #J-18808-Ljbffr