Note: The job is a remote job and is open to candidates in USA. Gravie develops health benefits and services for small and midsize businesses and their employees. The Senior Software Engineer, Applied AI will design and build production-grade AI agent systems, distributed backend services, and product-quality user experiences while establishing quality, security, privacy, and compliance practices for AI applications in healthcare and other regulated environments.
Responsibilities
- Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services
- Design retrieval, context, and memory systems that ground AI outputs and support reliable multi-step workflows
- Develop AI-powered decision-support systems that meet the accuracy, traceability, and explainability requirements of healthcare and other regulated environments
- Develop distributed backend services, event-driven workers, job pipelines, APIs, and relational data models
- Build intuitive, product-quality user experiences using React and TypeScript that make complex AI capabilities understandable and actionable
- Establish patterns for AI quality assurance, including automated evaluations, regression testing, groundedness checks, and compliance guardrails
- Evaluate models and frameworks using accuracy, latency, reliability, privacy, security, and cost evidence
- Mentor engineers and help raise engineering standards across the team
Skills
- 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
- Hands-on experience with agentic software development, using AI coding agents to help create specifications and plans, execute meaningful multi-step work across a codebase, run and fix tests, validate results, and iterate while maintaining ownership of architecture, quality, and what ultimately ships
- 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
Benefits
- Standard health and wellness benefits
- Alternative medicine coverage
- Flexible PTO
- Up to 16 weeks paid parental leave
- Paid holidays
- A 401k program
- Transportation perks
- Education reimbursement
- 2 days of paid paw-ternity leave
Company Overview
Company H1B Sponsorship