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Future - Staff Applied AI Engineer

Role overview

Qualifications

  • Experience in building and shipping production AI agents
  • Proficiency in Python and Async Python
  • Knowledge of LLMs and frameworks like LangChain and LangGraph
  • Familiarity with cloud technologies, especially AWS

Responsibilities

  • Build and ship production AI agents for Health Coach
  • Own the development loop from prototyping to deployment and monitoring
  • Improve reliability, latency, and cost efficiency of AI features
  • Write agent tools with Pydantic-validated integrations

Key facts

Hard skills

Other skills

  • Problem Solving

About the company

decircle logo

decircle

  • Staffing & Recruiting
  • 1–1
We partner with disruptive organizations to help identify and attract talent. A boutique recruitment agency that focuses on blockchain and web3. We enjoy networking with Web3 and decentralization enthusiasts and help them find their place in the decentralized world.

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Job description

Future (future.co): personal fitness/health coaching; building the AI foundation of a new Health Coach product. $110M raised; board includes Tom Brady, Eddie Cue, Adam Bain.

Comp: $250K-$300K base (SF rates for all US) + competitive equity. Location: Fully remote, US time zones; optional anchor weeks at Brentwood LA HQ. Visa: Not open to visas (US citizen / Green Card).

Responsibilities

  • Build and ship production AI agents for Health Coach: tool-calling LLMs, structured output, parallel API orchestration, streaming

  • AI features: coach matching, clinical-leaning guidance (sleep, nutrition, fitness), human in the loop

  • Own the loop: prototype, Langfuse evals/rubrics, deploy, monitor traces, iterate

  • Improve reliability/latency/cost: prompt caching, token budgets, retries, observability

  • Write agent tools (Pydantic-validated integrations) in an EPD pod

Tech stack: Python, Async Python, LangChain, LangGraph, LLMs, Pydantic, JSON Schema, SSE, Webhooks, Langfuse, AWS, AWS Bedrock, OpenTelemetry, Datadog, Terraform, CDK

Source: https://www.paraform.com/share/future/cmur5lxlk000g06nis011p9o1

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