Applied AI Engineer
Future
Job Overview
Location
Remote
Salary
USD 215,000 - 250,000 yearly
Employment Type
Full-time
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Senior (5-8 years)
Application Deadline
May 18, 2026
About the Company
Job Description
Future is seeking a highly skilled Applied AI Engineer to join our innovative team. This role is instrumental in developing and deploying AI-powered features that directly enhance our product experience and drive significant business outcomes.
You will be responsible for taking AI ideas from concept to production, designing intelligent systems, validating them with real users, and transforming them into reliable, scalable services. This is a hands-on, product-focused position where you will collaborate closely with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data-driven insights.
The ideal candidate is passionate about applying LLMs and modern ML tooling to solve real-world challenges. You will focus on systems, tradeoffs, and outcomes, with a keen eye on production performance, quality, latency, and cost. Your motivation will stem from shipping impactful AI experiences that customers genuinely use and value.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Build and ship AI agents that serve real users: tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses.
- Design evaluation harnesses and quality scoring — we use Langfuse, rubrics to measure safety, effectiveness, and personalization.
- Own the full loop: prototype a new agent capability, validate it with evals, deploy it to staging and production, monitor traces, and iterate.
- Improve reliability, latency, and cost through prompt caching strategies, token budgets, retry logic, and observability.
- Write the tools agents use: API integrations with Pydantic validation, exercise search over local databases, structured workout submission.
Qualifications
- 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.
- Clear communication: you'll work directly with product, mobile, and backend engineers.
Benefits & Perks
- Base Salary $ 215,000– $ 250,000/ year + equity.
- Equity participation offered alongside base compensation.
- Comprehensive medical, vision, dental, and disability insurance plus tax savings accounts for all eligible employees.
- 401(k) plan with tax-advantaged savings options.
- Remote-First Employment eligible to all employees located anywhere in the continental US. No travel required.
- Monthly health and fitness stipend contributing to overall wellbeing, access to a mental health platform, reimbursement for medical travel, and an annual learning & development stipend.
- Flexible PTO so you can rest, recharge, and take care of life outside of work.
- Future Membership: Enjoy our platform for free!
How to Apply
Join Our Communities
The fitness industry is rapidly evolving with AI integration, and Future is at the forefront of this transformation. This role is crucial for developing and deploying AI-powered features that directly enhance user experience and drive business growth. You will leverage cutting-edge technologies such as LLM orchestration, tool-calling systems, and structured output generation. Your work will directly impact business ROI by scaling personalized coaching and improving product efficiency. This is a hands-on position focused on bringing AI concepts from ideation to production-ready services.
Posted Date
May 4, 2026
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