# Future - Staff Applied AI Engineer at deCircle

> Remote · United States · Staff · ML / AI · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780721 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: San Francisco, California, United States; Los Angeles, California, United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: San Francisco, California, United States; Los Angeles, California, United States")
- Posted: 2026-10-12 (27 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/future-staff-applied-ai-engineer
- Skills listed (inferred): Python, AWS, Terraform, LLMs

## Pay and sponsorship

- Posted pay: $250k–$300k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 174): p25 $248k, median $275k, p75 $300k

## Description (the employer's text)

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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780721 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.