Senior Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Extract and validate structured data from census files, plan documents, PDFs, and spreadsheets for plan design, onboarding, and compliance.

• Design agent systems that utilize tools and external services, monitor state, recover from failures, and facilitate handoffs to personnel when necessary.

• Construct evaluation datasets, regression tests, and production monitoring systems to assess quality and detect issues.

• Choose models, deterministic code, retrieval, or human review for each step of the workflow.

• Minimize system failures, latency, and costs while enhancing reliability, comprehensibility, and debuggability.

• Oversee systems from design through evaluation, deployment, and continuous production enhancement.

• Draft design documents, conduct code reviews, and assist engineers in developing and testing high-quality AI features.

• Collaborate with plan administrators, retirement plan specialists, and engineers.

• Report directly to the Head of Engineering.

⛳️ Requirements

• Over 6 years of experience in building and managing production software, demonstrating clear ownership of technical decisions and outcomes post-launch.

• Successfully launched an LLM- or agent-powered system utilized in a real-world workflow.

• Proven experience in testing system behavior through evaluations, datasets, production monitoring, or structured human reviews.

• Understanding of state management, retries, fallbacks, permissions, latency, and cost implications.

• Experience in integrating external systems and handling both structured and unstructured data.

• Led the technical design of a major system, with familiarity in creating design documents and conducting code reviews.

• Capability to define vague problems, articulate trade-offs, and guide solutions through implementation and iteration.

• Preferred experience with document extraction, OCR, images, or other non-text inputs.

• Familiarity with multi-step agent workflows, tool utilization, or automation paired with human review is preferred.

• Experience in regulated or high-trust domains is preferred.

• Background in owning systems at an early-stage company is preferred.

• Knowledge of Python, Agno, and Anthropic models via AWS Bedrock is beneficial but not mandatory.

• Work authorization in the United States is required; no visa sponsorship available.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance, with additional optional coverage.

• 401(k) plan with company matching.

• Flexible paid time off and holidays.

• 10 weeks of paid parental leave.

• A fully remote working environment, equipped with all necessary technology and equipment.

• Support for professional development and career advancement.

• Annual bonus opportunities.

• Equity options.