Senior Software Engineer, Applied AI

Gravie

4d•$190,000 - $260,000

About The Position

Gravie is seeking a Senior Software Engineer, Applied AI to join their team. Engineers at Gravie work closely with Product, owning outcomes end-to-end, which involves deeply understanding the business, shaping problems and solutions, and ensuring the implemented solutions effectively address the problems. The company practices agentic development, where engineers use AI agents to assist in developing specifications, plans, and executing substantial engineering work. This approach raises the bar for engineers, emphasizing strong problem framing, business understanding, architectural judgment, system thinking, risk identification, and the ability to evaluate quality, maintainability, and tradeoffs.

Requirements

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.

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.