Job details

About the Company

Cover 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, Hopper, Skyscanner, 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 award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year. Our team and products have been recognized sed with dozens of awards including by the Financial Times who ranked Cover Genius as the #1 fastest growing 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.

Our People are Bold, Authentic, Purposeful and Inspired

Our People are not Perfect, Traditional, Complacent or Cautious

About the Role

You will design, build, and operate production Gen AI systems that handle insurance workflows where correctness, latency, cost, and auditability all matter. You will own significant pieces of this platform end-to-end: from prototype, through production rollout, to long-term operation. You will work closely with Data Scientists, Product, and Platform Engineering, and you will set the bar for how Gen AI is built and shipped at Cover Genius.

Responsibilities:

Partner with Data Scientists, Product, and Data Engineering — turning model and prompting work into reliable services and setting the bar for how Gen AI is built and shipped at Cover Genius

Build and operate the AI gateway layer that routes traffic from partner agents to the right upstream services, with per-upstream auth, rate limiting, and policy enforcement.

Design APIs and tools for LLM consumption — clear semantics, structured errors, idempotency, scoped permissions that agents can actually reason.

Build the agent evaluation toolings: golden test sets, LLM-as-judge pipelines, A/B exposure logging, latency/cost/quality SLOs and regression detection etc.

Build production multi-agent systems on top of the platform APIs.

Publish reference agents, SDKs, and documentation that let partners and internal teams integrate in days

Recent and near-term work includes:

• Enabling internal teams and external partners to consume Cover Genius services through agents — exposing XCover, XClaim, XCore, and BrightWrite via MCP, with OAuth token exchange and per-upstream auth at the gateway

• Delivering agentic insurance end-to-end across quote, booking, claim, and support — orchestrated as multi-agent systems

• Bringing agentic experiences into the BrightWrite platform to expedite the experimentation process

• Creating and maintaining a cross-team eval collaboration framework — golden sets, LLM-as-judge pipelines, regression detection, and shared tooling

Skills & Experience:

What you will bring:

• Experience building or operating MCP servers, A2A, or similar agent interop protocols

• Experience with retrieval (vector DBs, hybrid search) and RAG pipelines

• Hands-on experience with at least one agent or LLM orchestration framework (Google ADK, LangGraph, Pydantic AI or similar)

• Experience using data stores such as Postgres, BigQuery, Redis, Elasticsearch or Mongo DB, vector stores such as Qdrant, pgvector, message queues such as Kafka or Google Pub/Sub in production environment.

• Strong communication skills e.g. an ability to explain technical tradeoffs to non-technical stakeholders and to document solutions clearly.

What you will have:

• Bachelor or Masters degree in Computer Science or Engineering with 5+ years of professional software engineering experience, with at least 2 years building production LLM-powered systems (not just prototypes or demos)

• You are reliable as an individual, owning the work you shipped

• You are self-motivated and continuously study the new practices and tooling in data engineering.

• Curious, self-driven learner who keeps pace with the fast-moving GenAI ecosystem and actively shares knowledge with the team.

• Embodies CG values—bold 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.

Why Cover Genius?

Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean?

• Flexible Work Environment - our teams are hybrid. We work from home on Wednesdays and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.

• Global company, with the opportunity to work from any of our offices for 4 weeks a year

• Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company.

• Work with like-minded 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 - pictures speak a thousand words!

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.