5 дней назад
Staff Engineer, Applied AI
194 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer, Applied AI (Python/LLM): Building and productionizing AI foundations, agentic tools, retrieval systems, and workflow capabilities that improve operational decision-making across aging care with an accent on secure model access, governed data pathways, observability, and measurable quality. Focus on designing reliable human-in-the-loop systems, reusable AI architecture, evaluation frameworks, and closed-loop feedback systems for production use.
Location: Remote position
Hiring salary range: $194,000–$220,000 USD annually
Company
develops technology, tools, and services that support aging in place and in-home care through its Honor and Home Instead brands.
What you will do
- Design, build, and productionize foundations for applying AI across operating models, product systems, and internal workflows.
- Develop AI-assisted sales follow-up, operational defect analysis, retrieval and memory systems, internal agentic tools, and AI-powered data analysis.
- Build secure model access, compliant data pathways, observability, cost controls, evaluation patterns, and reusable AI architecture.
- Create human-in-the-loop workflows and feedback systems that connect audits, product changes, and measurable business outcomes.
- Collaborate with engineering, product, design, data, operations, security, and business stakeholders.
- Participate in an on-call rotation with the tier 1 support team.
Requirements
- Production-grade experience with Python or transferable experience in languages such as Node.js, with willingness to learn Python.
- Experience designing reliable data models and working with relational databases at scale.
- Experience contributing to large, complex projects and working with legacy monolithic systems and new services.
- Ability to build systems connecting user-facing workflows, backend services, data pipelines, and AI or LLM capabilities.
- Strong communication skills and the ability to explain technical tradeoffs to technical and non-technical audiences.
- Careful consideration of quality, observability, privacy, security, and operational risk.
Nice to have
- Experience with LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks.
- Experience with AWS Bedrock, OpenAI, Gemini, Anthropic, or similar model platforms.
- Knowledge of secure data access, RBAC, auditability, compliant data workflows, and human-in-the-loop review.
- Experience with microservices, RPC architecture, React, DataDog, workflow automation, or operational tools.
- Experience mentoring engineers and spreading technical knowledge.
Culture & Benefits
- Remote-first work environment with cross-functional collaboration.
- Equity packages that increase with position level and responsibilities.
- 401(k) plan with up to a 4% employer match.
- Medical, dental, and vision coverage, including zero-cost employee plans.
- Employer-paid short-term disability, long-term disability, and life insurance.
- Paid time off, mental health benefits, wellness support, and discount programs.
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