AI Engineer

Our forward deployed engineers are all highly AI-native (using developer tools like Claude code/codex etc. in their day-to-day workflow) to effectively build and deploy systems with high quality and speed. A strong full stack generalist is usually a good fit when they also have the expertise in the AI tooling to move quickly Scope varies by engagement, but the work spans: · Software development - building and maintaining production services, APIs, and application code · Agentic AI and AI/ML systems - LLM-backed agents, retrieval pipelines, prompt and model orchestration, evaluation · Data and modeling - data science, statistical modeling, and the pipelines that feed both · Database and infrastructure - schema design, query performance, deployment, and the operational side of keeping it running · Technology consulting - direct technical engagement with client stakeholders, including explaining and defending design decisions The tech stack can vary, but the core skills we look for there are

Applicants must be legally authorized to work in the United States without restriction now and in the future. The company will not sponsor employment visas for this role., · Senior-level engineering experience delivering production software that other people depend on. · Fluency in at least one primary language we use heavily (Python, TypeScript / Node, or a comparable backend language) and the ability to move between them. · Real database competence: schema design, query performance, and knowing why the slow thing is slow. · Cloud and deployment experience (AWS or equivalent), containers, CI/CD etc. · The judgment to work in a production system carrying sensitive data - you understand why logging the wrong field is a serious incident, not a style question. · Ability to work directly with non-engineers, including client stakeholders, and explain technical tradeoffs without either condescending or hiding behind jargon. · Self-direction. Small team, high autonomy, minimal supervision by design.