Senior Engineer, Applied AI

Responsibilities

• Design, build, and productionize foundations for applied AI systems that enable organizational intelligence, including AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval patterns, internal agentic tools, AI-powered data analysis, schedulable workflows, and closed-loop feedback systems.
• Collaborate closely with engineering, product, design, data, operations, security, and business stakeholders to turn ambiguous AI opportunities into safe, reliable, measurable product and platform capabilities.
• Work on secure model access, compliant data pathways, observability, cost controls, evaluation patterns, human-in-the-loop workflows, and reusable architecture to support AI adoption across the organization.
• Participate in an on-call rotation in collaboration with the tier 1 support team.
• Refactor legacy monolithic systems while designing new services and integration patterns.
• Explain technical tradeoffs to both technical and non-technical audiences.

Requirements

• Experience building production-grade features in Python (or transferable experience in languages like Node.js with willingness to learn Python).
• Experience designing reliable data models and using relational databases at scale.
• Proven track record as a key contributor to the design and implementation of large, complex projects.
• Comfort working in and refactoring legacy monolithic systems.
• Strong communication skills, both verbal and written.
• Strong focus on quality, observability, privacy, security, and operational risk.
• Excitement to work with AI systems in a pragmatic, measurable way grounded in real business outcomes.
• Willingness to participate in an on-call rotation.
• Thrive in a diverse, cross-functional team environment with design, product, data, operations, security, and engineering.
• Excitement for ambiguous, high-leverage problems requiring technical judgment and operational empathy.

Nice-to-Haves

• Experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks.
• Experience with model providers or platforms such as AWS Bedrock, OpenAI, Gemini, Anthropic, or similar.
• Experience with secure data access patterns, RBAC, auditability, or compliant data workflows.
• Experience building internal tools, workflow automation, or systems supporting operations teams at scale.
• Comfort working with messy operational data and turning it into reliable product or platform capabilities.
• Experience designing systems with human-in-the-loop review, feedback loops, or measurable quality improvement.
• Knowledge of microservice architecture and best practices.
• Experience with RPC architecture.
• Comfort with frontend development using JavaScript frameworks like React.
• Experience with observability and monitoring tools like DataDog.
• Experience mentoring and spreading knowledge to other engineers.
• Passion for building foundations that help other teams move faster and more safely.

Compensation and Benefits

• Base salary range: $160,000 - $180,000 USD (national average for remote-first company; individual pay based on qualifications, skills, experience, education, and training).
• Generous equity packages that increase with position level and responsibilities.
• 401K with up to 4% employer match.
• Medical, dental, and vision coverage including zero cost plans for employees.
• Short Term Disability, Long Term Disability, and Life Insurance fully employer paid, with voluntary additional Life Insurance option.
• Generous time off program, mental health benefits, wellness program, and discount program.