Applied AI Engineer
$215k - $250k • Remote • Remote
Posted 12h ago
About the job
We are seeking an Applied AI Engineer to join our team and build AI-powered features that enhance our product experience and drive business outcomes. This is a hands-on, product-focused role where you will take ideas from concept to production, designing intelligent systems, validating them with users, and transforming them into reliable, scalable services. You will collaborate with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data, owning the full lifecycle from experimentation and evaluation to deployment and continuous improvement. The ideal candidate is passionate about applying LLMs and modern ML tooling to real-world challenges, with a strong understanding of systems, tradeoffs, and outcomes, prioritizing performance, quality, latency, and cost in production.
Responsibilities
- Build and deploy AI agents for real users, including tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses.
- Design evaluation harnesses and quality scoring systems using tools like Langfuse and rubrics to measure safety, effectiveness, and personalization.
- Manage the end-to-end AI development loop: prototype new agent capabilities, validate with evaluations, deploy to production, monitor traces, and iterate.
- Enhance reliability, latency, and cost-efficiency through prompt caching, token budget management, retry logic, and observability.
- Develop tools for AI agents, such as API integrations with Pydantic validation, exercise search over local databases, and structured workout submission.
Requirements
- Strong Python skills with experience building and deploying services on large production systems.
- Experience with agent frameworks like LangChain or LangGraph.
- Hands-on experience with LLMs in production, including prompt engineering, tool/function calling, structured output, and evaluation.
- Proficiency with async Python, HTTP APIs, and streaming protocols (SSE, webhooks).
- Experience with data validation and schema design (Pydantic, JSON Schema).
- Ability to debug complex systems across multiple layers, from LLM tool calls to infrastructure configurations.
- Clear communication skills for effective collaboration with product, mobile, and backend engineers.
Benefits
- Base Salary $215,000–$250,000/year
- Equity participation
- Comprehensive medical, vision, dental, and disability insurance
- Tax savings accounts
- 401(k) plan
- Monthly health and fitness stipend
- Access to a mental health platform
- Reimbursement for medical travel
- Annual learning & development stipend
- Flexible PTO
- Free Future membership