Gravie is a health benefits platform that offers insurance services. Their software products include Comfort and ICHRA. Gravie designed health benefits to help employers control costs. Backed by AXA Venture Partners.
About the role
Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
What they're looking for
- Five or more years of software engineering experience, including ownership of complex systems from design through production
- Hands-on experience building and operating production AI applications, not only prototypes
- Deep expertise in at least one primary area, such as Python backend and distributed systems, or React and TypeScript product engineering, plus the ability to work across the full system
- Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows
- Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance
- Clear communication and effective collaboration across technical and non-technical teams
More about this role
Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
At Gravie, engineers work closely with Product and own outcomes end to end. That means understanding the business deeply, shaping the problem and solution, and staying accountable for whether what we build actually solves the problem—not simply implementing a set of requirements.
We practice agentic development to increase the scope and leverage of that ownership. Engineers start with a clear outcome or problem, use AI agents to help develop the specification and proposed plan, and then use those agents to execute substantial multi-step engineering work. Engineers review and refine the spec and plan, set guardrails and acceptance criteria, validate the results, and own the quality of everything that ships.
As agents take on more of the execution, the bar for engineers gets higher. Strong problem framing, business understanding, architectural judgment, system thinking, risk...
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