Future

Applied AI Engineer

Undisclosed

Remote. The employer does not say where candidates may be based.

Location not stated

Employer listed it 7 days ago · Added 4 days ago

First listed 7 days ago and still open.

Salary

$215k to $250k per year

Location

Location not stated

Work style

Async

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Comfort with async Python, HTTP APIs, and streaming protocols (SSE, webhooks).
Where you can work from: Remote-First Employment eligible to all employees located anywhere in the continental US.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Compensation & Benefits

Remote flexibility

Undisclosed

The listing is advertised as remote but does not state which countries or regions candidates may work from.

Why this role is Undisclosed

We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.

Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
Whether the work is remote: Confirmed by the employer: "Remote-First Employment eligible to all employees located anywhere in the continental US."
Working hours: Stated: Async.

Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.

What the employer says

Source listing states candidate location: "Remote"

What Nomaders makes of it

No residency or region requirement found in the job description
Check with the employer before assuming you can work from abroad

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Us:

Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come.

About the Role

We're looking for an Applied AI Engineer to help us build and ship AI-powered features that directly improve our product experience and business outcomes. This is a hands-on, product-focused role where you'll take ideas from concept to production — designing intelligent systems, validating them with real users, and turning them into reliable, scalable services.

You'll work at the intersection of AI, product, and engineering — partnering closely with cross-functional teams to identify high-impact opportunities, prototype quickly, and iterate based on data. This isn't a research-only role. You'll own the full lifecycle: experimentation, evaluation, deployment, monitoring, and continuous improvement.

The ideal candidate is excited about applying LLMs and modern ML tooling to real-world problems. You think in terms of systems, tradeoffs, and outcomes — not just models. You care about performance, quality, latency, and cost in production. Most importantly, you're motivated by shipping impactful AI experiences that customers actually use.

What You'll Do

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.

What You Bring

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.

Nice to Have

Familiarity with AWS (Bedrock, ECR, CloudFront, S3, Cognito) or other cloud agent hosting.

Observability and tracing tools (Langfuse, OpenTelemetry, Datadog).

Exposure to evaluation frameworks: LLM-as-a-judge, automated scoring, dataset management.

Requirements

·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).

Benefits

·We believe great people should be well paid and meaningfully invested in what they're building.
·Equity Equity participation offered alongside base compensation.
·Health Coverage Comprehensive medical, vision, dental, and disability insurance plus tax savings accounts for all eligible employees.
·Retirement 401(k) plan with tax-advantaged savings options.
·Remote-First Employment eligible to all employees located anywhere in the continental US. No travel required.

How to apply

1Check the flexibility label above, undisclosed, matches where you plan to live and work.
2Tailor your CV to the role at Future, mentioning your remote working experience and working hours (Async).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

$215k to $250k per year · You'll be taken to the employer's careers page.