Full-Time

Applied AI Engineer

Future

Future

501-1,000 employees

Personalized coaching with tech-enabled fitness

Compensation Overview

$215k - $250k/yr

+ Equity

Remote in USA

Remote

Category
AI & Machine Learning (1)
Required Skills
LLM
Pydantic
Datadog
Python
Webhooks
Machine Learning
OpenTelemetry
AWS
LangGraph
Terraform
Observability
LangChain

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Requirements
  • Strong Python skills, including building and deploying services on large production systems.
  • Experience with LangChain, LangGraph, or similar agent frameworks.
  • Hands-on experience with large language models in production, including prompt engineering, tool or function calling, structured output, and evaluation.
  • Comfort with asynchronous Python, HTTP APIs, and streaming protocols such as server-sent events and webhooks.
  • Experience with data validation and schema design using Pydantic and JSON Schema.
  • Ability to debug across layers, from a broken large-language-model tool call to a misconfigured Terraform resource.
  • Ability to work directly with product, mobile, and backend engineers.
Responsibilities
  • Build and ship AI agents for real users using tool-calling large-language-model systems, structured output, parallel API orchestration, and streaming responses.
  • Design evaluation harnesses and quality scoring using Langfuse and rubrics to measure safety, effectiveness, and personalization.
  • Own the full development loop by prototyping agent capabilities, validating them with evaluations, deploying them to staging and production, monitoring traces, and iterating.
  • Improve reliability, latency, and cost through prompt-caching strategies, token budgets, retry logic, and observability.
  • Write the tools used by agents, including API integrations with Pydantic validation, exercise search over local databases, and structured workout submission.
Desired Qualifications
  • Familiarity with Amazon Web Services, including Bedrock, Elastic Container Registry, CloudFront, S3, and Cognito, or other cloud agent hosting.
  • Experience with observability and tracing tools such as Langfuse, OpenTelemetry, and Datadog.
  • Exposure to evaluation frameworks including large-language-model-as-a-judge, automated scoring, and dataset management.
  • Experience with infrastructure as code using Terraform or Cloud Development Kit.

Future.co provides personalized online fitness coaching by pairing each member with a world-class coach who designs a customized workout plan and coordinates nutrition and recovery guidance. Members use a platform that connects with wearables to track activity, while coaches adjust plans and provide daily check-ins and support through an app. The approach blends human coaching with data-driven feedback and a holistic focus on nutrition and wellness, using real-time insights from wearables. The goal is to make expert personal training accessible anywhere and help people reach fitness milestones through ongoing guidance and accountability.

Company Size

501-1,000

Company Stage

Series C

Total Funding

$113.5M

Headquarters

San Francisco, California

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 premium tiers priced at $129 and $399 deepen revenue per member.
  • Future says new service launches later in 2026, expanding into movement and preventive health.
  • Autograph’s athlete network and Brady board role strengthen acquisition channels after January 2025.

What critics are saying

  • June 2026 scrapped AI training exposes weak product-market fit beyond premium human coaching.
  • Future’s 2025 merger dependence on Autograph distracts management while integration costs rise.
  • If coaching economics break at scale, Future’s 2025-2026 model collapses under trainer supply limits.

What makes Future unique

  • Future’s human coaches and daily accountability still separate it from generic fitness apps.
  • January 23, 2025 merger with Autograph adds Tom Brady, athlete access, and brand reach.
  • June 2026 Future Pro bundles DEXA, lab tests, and nutrition guidance into coaching.

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Benefits

Health Insurance

401(k) Retirement Plan

Flexible Paid Time Off

Mental Health Support

Remote Work Options

Future Membership

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

4%
PR Newswire
Jan 23rd, 2025
AUTOGRAPH AND FUTURE MERGE TO MAKE ELITE FITNESS COACHING ACCESSIBLE TO EVERYONE

/PRNewswire/ -- Autograph and Future today announced their merger to revolutionize fitness and wellness through personalized coaching. The combined entity will...

FinSMEs
Feb 3rd, 2022
Future Raises $75m In Series C Funding - FinSMEs

Future, a San Francisco, CA-based digital fitness coaching service, raised $75m in Series C funding

TechCrunch
Oct 16th, 2020
Future raises $24M Series B for its $150/mo workout coaching app amid at-home fitness boom

With thousands of gyms across the country forced to close during the pandemic, there’s been an unprecedented opportunity for fitness companies pitching an at-home solution. This moment has propelled public companies like Peloton to stratospheric highs — its market cap is about to eclipse $40 billion — but it has also pushed venture capitalists toward plenty of deals in the fitness space.