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Future - Staff Applied AI Engineer

San Francisco, California, United States; Los Angeles, California, United StatesRemote · United States
Staff
POSTED 12 OCTVERIFIED 1D AGO
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Role
26 days opentrue age
Posted 12 Oct
Payin text
$250k–300kposted
● 0% vs market median $275k
$208k$300k
Market p25–p75
$248k–$300k
deCircle p25–p75
$208k–$281kn=3
SF Bay Area · n=174 · 365d to 6 Nov
CompanydeCircle →
252open roles
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Market
1,043open · Staff ML / AI
All ml / ai
6,686open
All tracked boards · live 8 Nov · n=1,043
PythonAWSTerraformLLMs

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

Requirements

4-10 yrs; shipped LLM agents to production

Strong big-tech background, ideally moved to startups or founded a company

Python/async, LangChain/LangGraph, Pydantic, Langfuse, AWS/Bedrock

Independent in a beta-stage environment; US citizen/GC

Source · deCircleFirst seen 4 NovOriginal ↗