[Hiring] Senior Software Engineer, Applied AI @Gravie

Role Description

At Gravie, engineers work closely with Product and own outcomes end to end. This involves:

• Understanding the business deeply
• Shaping the problem and solution
• Staying accountable for whether what we build actually solves the problem

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. Responsibilities include:

• Designing and building production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services
• Designing retrieval, context, and memory systems that ground AI outputs and support reliable multi-step workflows
• Developing AI-powered decision-support systems that meet the accuracy, traceability, and explainability requirements of healthcare and other regulated environments
• Developing distributed backend services, event-driven workers, job pipelines, APIs, and relational data models
• Building intuitive, product-quality user experiences using React and TypeScript
• Establishing patterns for AI quality assurance, including automated evaluations, regression testing, groundedness checks, and compliance guardrails
• Evaluating models and frameworks using accuracy, latency, reliability, privacy, security, and cost evidence
• Mentoring engineers and helping raise engineering standards across the team

Qualifications

• 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
• Deep expertise in at least one primary area, such as Python backend and distributed systems, or React and TypeScript product engineering
• 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

• Alternative medicine coverage
• Flexible PTO
• Up to 16 weeks paid parental leave
• Paid holidays
• 401k program
• Transportation perks
• Education reimbursement
• 2 days of paid paw-ternity leave