Cloud Specialist

 Build AI-powered features across the health insurance platform using Google Gemini on Vertex AI

- Design and optimize prompts for complex multi-step reasoning tasks: analysis, classification, extraction, and decision support

- Work with Gemini's structured output capabilities (JSON mode, function calling, grounding) to produce reliable, deterministic results

- Build and iterate on AI agents - multi-turn workflows where the model uses tools, calls APIs, and makes sequential decisions autonomously

- Manage context windows efficiently by building context builders that supply the right data without bloating the prompt

- Evaluate model outputs, measure accuracy and consistency, and improve reliability through better prompting, guardrails, and validation

- Stay current with Gemini model releases (Flash, Pro, Ultra) and apply the right model per use case

What we are looking for:

- Hands-on experience with Google Vertex AI / Gemini API - personal projects and hackathons count

- Understanding of prompt engineering: few-shot, chain-of-thought, structured output, tool/function calling

- Ability to design agentic workflows - knowing when to chain LLM calls, when to use tools, and how to handle failures

- Familiarity with Node.js or Python for AI service backends

- Strong reasoning skills - ability to read an LLM output and diagnose exactly why it went wrong

- Health insurance domain knowledge: add-on, not mandatory

Common Expectations

- Tech-first mindset - you are here to build AI systems, not to become an insurance expert

- Genuine curiosity about AI agents - you find it interesting to think about how LLMs reason, where they fail, and how to build reliable systems around them

- Ownership - you will own your feature end-to-end, from design to production

- Collaborative - small team, fast-moving, everyone's work touches everyone else's

- Communication - ability to explain AI system behaviour and limitations to non-technical stakeholders