Honor

Honor

Honor is a company that is revolutionizing the way society cares for older adults by providing highly trained Care Professionals who offer compassionate home care services. Through their flagship brand, Home Instead, they are tackling the challenge of ...

Health Care Providers & Services
1K-5K
Founded 2014
$625M raised

Description

  • Design, build, and productionize AI foundations and platform capabilities for Honor’s operating model, product systems, and internal workflows.
  • Develop systems for AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval, internal agentic tools, AI-powered data analysis, and schedulable workflows.
  • Build secure, reliable, and measurable production systems that connect user-facing workflows, backend services, data pipelines, and AI/LLM capabilities.
  • Collaborate with engineering, product, design, data, operations, security, and business stakeholders to deliver AI solutions.
  • Create reusable architecture and paved roads for secure model access, compliant data pathways, observability, cost controls, evaluation, and human-in-the-loop workflows.
  • Turn ambiguous AI opportunities into safe, reliable product and platform capabilities with clear business outcomes.
  • Work within and improve legacy monolithic systems while also designing new services and integration patterns.
  • Help establish closed-loop feedback systems that connect audits, product changes, and measurable outcomes.
  • Participate in an on-call rotation in collaboration with the tier 1 support team.
  • Mentor other engineers and share knowledge to help teams adopt AI more safely and quickly.

Requirements

  • Experience building production-grade features in Python, or transferable experience in languages such as Node.js with willingness to learn Python.
  • Experience designing reliable data models and using relational databases at scale.
  • Experience contributing to the design and implementation of large, complex projects.
  • Comfort working in and refactoring legacy, monolithic systems while designing new services and integrations.
  • Strong written and verbal communication skills, including the ability to explain technical tradeoffs to technical and non-technical audiences.
  • Careful attention to quality, observability, privacy, security, and operational risk.
  • Willingness to participate in an on-call rotation with the tier 1 support team.
  • Experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks is preferred.
  • Experience with model providers or platforms such as AWS Bedrock, OpenAI, Gemini, or Anthropic is preferred.
  • Experience with secure data access patterns, RBAC, auditability, compliant workflows, microservice architecture, RPC architecture, React, or DataDog is preferred.

Benefits

  • Base salary range of $160,000 to $180,000 USD.
  • Generous equity packages that increase with position level and responsibilities.
  • 401(k) with up to a 4% employer match.
  • Medical, dental, and vision coverage, including zero-cost employee plans.
  • Fully employer-paid Short Term Disability, Long Term Disability, and Life Insurance, with voluntary additional Life Insurance available.
  • Generous time off program.
  • Mental health benefits and a wellness program.
  • Discount program and remote-first work environment.

Interested in this position?

Apply directly on the company website

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