Senior Applied AI Engineer
Senior engineer building and leading production AI products, including agent systems, evaluations, and full-stack customer experiences. Requires 4+ years of software development experience, deep language-model production expertise, and ownership from experimentation through deployment.
About the job
Responsibilities
- Architect and ship customer-facing AI experiences end to end, including agent orchestration, tool use, user interfaces, backend systems, APIs, databases, and infrastructure.
- Develop reliable agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks.
- Define evaluations and feedback loops; analyze failures and systematically improve prompts, context, models, tools, and product flows.
- Turn prototypes into reliable production systems by making decisions about architecture, latency, cost, observability, and user experience.
- Shape product direction and engineering practices across the stack.
- Lead complex projects from experimentation through production.
- Engage directly with customers to inform product decisions.
- Mentor engineers, share technical knowledge, and help teammates grow.
Requirements
- At least 4 years of professional software development experience.
- Deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs.
- Experience owning production software across frontend, backend, APIs, databases, and infrastructure.
- Strong product intuition and the ability to define solutions rather than follow a fixed specification.
- Experience leading complex projects from experimentation through production.
- Experience mentoring engineers.
Compensation and Benefits
- Annual compensation of $190,000–$265,000, plus equity.
- 20 days of paid time off annually.
- 401(k) or RRSP.
- $420 monthly wellness stipend.
- 100% coverage for health, dental, and vision insurance.
- Free rides to and from work.
- Free lunch and dinner.
- Annual team offsite.
Skills
Artificial Intelligence, Language Models, Agent Loops, Tool Use, Retrieval, Prompting, Structured Outputs, Frontend, Backend, APIs, Databases, Infrastructure, Evaluation Systems, Observability, Full-Stack Engineering
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