Work with an expert fitness coach and get custom workout plans for weight loss and strength training. Backed by Kleiner Perkins and Techstars.
About the role
We'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.
What they're looking for
- Strong Python skills: you've built and deployed services on large production systems
- Experience with LangChain/LangGraph or similar agent frameworks
- Hands-on experience with LLMs in production: prompt engineering, tool/function calling, structured output, evaluation
- Comfort with async Python, HTTP APIs, and streaming protocols (SSE, webhooks)
- Experience with data validation and schema design (Pydantic, JSON Schema)
- Ability to debug across layers: from a broken LLM tool call to a misconfigured Terraform resource
More about this role
Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come.
We'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.
You'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.
The ideal candidate is excited about applying...
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