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, build, and lead production-grade AI agent systems and decision-support products for healthcare and regulated environments. The role also guides distributed architecture, AI quality and safety standards, cloud operations, technical roadmaps, and engineering teams.
Responsibilities
- Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and the infrastructure needed to make them reliable, observable, and auditable
- Design retrieval, context, and memory architectures that ground AI outputs and support reliable multi-step workflows
- Lead the development of AI-powered decision-support systems that meet the accuracy, traceability, and explainability requirements of healthcare and other regulated environments
- Architect distributed services, event-driven workers, job pipelines, state management, failure recovery, APIs, and data models
- Guide the development of intuitive, product-quality experiences using React and TypeScript that make complex AI capabilities understandable and actionable
- Establish organization-wide patterns for AI quality and safety, including automated evaluations, regression testing, groundedness checks, compliance guardrails, and production monitoring
- Define standards for deploying and operating AI-enabled systems through CI/CD, cloud infrastructure, observability, alerting, and production support
- Mentor senior engineers, lead architecture reviews, resolve cross-team risks, and shape technical roadmaps
- Serve as a trusted technical advisor to Engineering, Product, Data, Security, Infrastructure, and business stakeholders
- Set technical direction for Gravie's AI-enabled products, platforms, retrieval systems, model integrations, and shared capabilities
Skills
- Ten or more years of software engineering experience, including technical leadership of complex, distributed systems from design through production
- Demonstrated experience setting technical direction across multiple teams or product areas
- 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, with sound judgment across the full system
- Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows
- Experience establishing engineering standards for cloud infrastructure, CI/CD, observability, reliability, and production operations
- Demonstrated experience designing evaluation, testing, monitoring, and continual-improvement practices for AI systems
- Strong understanding of security, privacy, access control, data governance, auditability, and compliance considerations for AI systems
- Proven ability to lead through influence, align stakeholders, and communicate complex technical concepts and tradeoffs to technical and non-technical audiences
- Demonstrated success mentoring engineers and raising technical standards across 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