Senior Engineer, Applied AI

Stack

Responsibilities

• ▹Design, build, and productionize systems that power AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval patterns, internal agentic tools, AI-powered data analysis, schedulable workflows, or closed-loop feedback systems
• ▹Work closely with engineering, product, design, data, operations, security, and business stakeholders
• ▹Turn ambiguous AI opportunities into safe, reliable, measurable product and platform capabilities
• ▹Help create the paved roads for AI adoption: secure model access, compliant data pathways, observability, cost controls, evaluation patterns, human-in-the-loop workflows, and reusable architecture
• ▹Participate in an on-call rotation in collaboration with the tier 1 support team

Requirements

• ▹Built and maintained production-grade features in Python, or transferable experience in common languages like Node.js and willingness to learn Python
• ▹Know how to design reliable data models and have used relational databases at scale
• ▹Key contributor to the design and implementation of large, complex projects
• ▹Comfortable working in and refactoring legacy, monolithic systems while also designing new services and integration patterns
• ▹Strong communicator, both verbally and in writing, able to explain technical tradeoffs to technical and non-technical audiences
• ▹Think carefully about quality, observability, privacy, security, and operational risk
• ▹Excited to work with AI systems in a way that is pragmatic, measurable, and grounded in real business outcomes
• ▹Willingness to participate in an on-call rotation
• ▹Thrive in a diverse, cross-functional team collaborating with design, product management, data, operations, security, and other engineering teams
• ▹Excited by ambiguous, high-leverage problems that require both technical judgment and operational empathy
• ▹Enjoy building production-grade systems that connect user-facing workflows, backend services, data pipelines, and AI/LLM capabilities

Nice to have

• ▹Experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks
• ▹Worked 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
• ▹Built internal tools, workflow automation, or systems that support operations teams at scale
• ▹Comfortable 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 working with an RPC architecture
• ▹Comfortable with frontend development and experience with JavaScript frameworks like React
• ▹Experience with observability and monitoring tools like DataDog
• ▹Enjoy mentoring and spreading knowledge to other engineers
• ▹Energized by building foundations that help other teams move faster and more safely

Soft skills

What we offer

• ▹Salary range: $160,000-$180,000 USD base (based on national average, as a remote-first company)
• ▹Generous equity packages that increase with position level and responsibilities
• ▹401K with up to a 4% employer match
• ▹Medical, dental, and vision coverage including zero-cost plans
• ▹Employer-paid Short Term Disability, Long Term Disability, and Life Insurance, with a voluntary additional Life Insurance option
• ▹Generous time off program
• ▹Mental health benefits
• ▹Wellness program
• ▹Discount program

About the company

Honor Technology's mission is to change the way society cares for older adults. It provides technology, tools, and services that let older adults live on their own terms, and its portfolio includes Home Instead, the world's leading provider of in-home care for older adults. The Applied AI team aims to help Honor become an organization that learns faster, remembers more, and compounds what it learns.