Applied AI Engineer

ph3About Future /h3pAt Future, we believe that personal connection is the key to progress. Our mission is to make world‑class coaching accessible to everyone, helping people unlock their full potential through expert guidance, motivation, and accountability. As a digital personal training platform, we deliver highly personalized coaching, tailoring workout plans and support to each individual’s goals - all through a seamless app experience. /ppSince launching in 2017, Future has grown from a brainstorm in a San Francisco cafe into the nation’s largest provider of personal training sessions. In January 2025, Future announced its merger with Autograph, the company founded by 7x World Champion and entrepreneur Tom Brady. We’re poised for massive growth as we expand our brand, forge new partnerships with some of the world’s most iconic athletes, and harness AI to enhance and scale our coaching experience. /ppAs we continue to grow, we’re investing in cutting‑edge technology, deepening our roster of elite coaches, and building new partnerships. If you’re passionate about shaping the future of fitness, come join us - we’re just getting started. /ph3About the Role /h3pWe’re looking for an Applied AI Engineer to help us build and ship AI‑powered features that directly improve our product experience and business outcomes. This is a hands‑on, product‑focused role where you’ll take ideas from concept to production — designing intelligent systems, validating them with real users, and turning them into reliable, scalable services. /ppYou’ll work at the intersection of AI, product, and engineering — partnering closely with cross‑functional teams to identify high‑impact opportunities, prototype quickly, and iterate based on data. This isn’t a research‑only role. You’ll own the full lifecycle: experimentation, evaluation, deployment, monitoring, and continuous improvement. /ppThe ideal candidate is excited about applying LLMs and modern ML tooling to real‑world problems. You think in terms of systems, tradeoffs, and outcomes — not just models. You care about performance, quality, latency, and cost in production. Most importantly, you’re motivated by shipping impactful AI experiences that customers actually use. /ph3What You’ll Do /h3ulliBuild and ship AI agents that serve real users: tool‑calling LLM systems with structured output, parallel API orchestration, and streaming responses. /liliDesign evaluation harnesses and quality scoring — we use Langfuse, rubrics to measure safety, effectiveness, and personalization. /liliOwn the full loop: prototype a new agent capability, validate it with evals, deploy it to staging and production, monitor traces, and iterate. /liliImprove reliability, latency, and cost through prompt caching strategies, token budgets, retry logic, and observability. /liliWrite the tools agents use: API integrations with Pydantic validation, exercise search over local databases, structured workout submission. /li /ulh3What You Bring /h3ulliStrong Python skills: you’ve built and deployed services on large production systems. /liliExperience with LangChain/LangGraph or similar agent frameworks. /liliHands‑on experience with LLMs in production: prompt engineering, tool/function calling, structured output, evaluation. /liliComfort with async Python, APIs, and streaming protocols (SSE, webhooks). /liliExperience with data validation and schema design (Pydantic, JSON Schema). /liliAbility to debug across layers: from a broken LLM tool call to a misconfigured Terraform resource. /liliClear communication: you’ll work directly with product, mobile, and backend engineers. /li /ulh3Nice to Have /h3ulliFamiliarity with AWS (Bedrock, ECR, CloudFront, S3, Cognito) or other cloud agent hosting. /liliObservability and tracing tools (Langfuse, OpenTelemetry, Datadog). /liliExposure to evaluation frameworks: LLM‑as‑a‑judge, automated scoring, dataset management. /liliInfrastructure‑as‑code (Terraform, CDK). /li /ulh3Compensation Benefits /h3pWe believe great people should be well paid and meaningfully invested in what they’re building. /ph3Base Salary /h3p$ 215,000– $ 250,000/ year + equity. The salary range is set based on multiple considerations including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified in the future. /ph3Equity /h3pEquity participation offered alongside base compensation. /ph3Health Coverage /h3pComprehensive medical, vision, dental, and disability insurance plus tax savings accounts for all eligible employees. /ph3Retirement /h3p401(k) plan with tax‑advantaged savings options. /ph3Remote-First /h3pEmployment eligible to all employees located anywhere in the continental US. No travel required. /ph3Wellness Development /h3pMonthly health and fitness stipend contributing to overall wellbeing, access to a mental health platform, reimbursement for medical travel, and an annual learning development stipend. /ph3Flexible Time Off /h3pFlexible PTO so you can rest, recharge, and take care of life outside of work. /ph3Future Membership /h3pEnjoy our platform for free! /p /p #J-18808-Ljbffr