Applied AI Engineer

Future; Oregon; Hybrid; USD 215,000 - 250,000; Full time

Benefits offered by this job

Equity participation

Health coverage

401(k)

Remote-First

Wellness & development stipend

Flexible Time Off

Future Membership

Job summary

Future is seeking an Applied AI Engineer to build AI-powered features that ship to production and impact product experience. You will own the full lifecycle from concept to deployment, including experimentation, evaluation, and monitoring of AI systems.

You will collaborate with product and engineering teams to design scalable, cost-conscious solutions, optimize latency, and deliver reliable tools like tool-calling LLM agents with structured outputs, while prioritizing safety and quality in

Qualifications

• Strong Python skills and experience deploying services in production.
• Experience with LangChain/LangGraph or similar agent frameworks.
• Hands-on production experience with LLMs: prompt engineering, tool calling, structured output, evaluation.
• Comfort with async Python, APIs, and streaming protocols (SSE, webhooks).
• Experience with data validation and schema design (Pydantic, JSON Schema).
• Ability to debug complex LLM tool calls and Terraform resources.
• Clear communication with product, mobile, and backend engineers.

Responsibilities

• 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 for safety, effectiveness, and personalization.
• Own the full loop: prototype, eval, deploy to staging/production, monitor traces, iterate.
• Improve reliability, latency, and cost via prompt caching, token budgets, retries, and observability.
• Write the tools agents use: API integrations with validation, local data search, structured workout submission.

Skills

Python

LangChain/LangGraph

LLMs in production

Async Python

Data validation & schema design

Debugging across layers

Cross-functional communication

Tools

LangChain

LangGraph

Terraform

OpenTelemetry

Datadog

AWS Bedrock

Job description

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, 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.
• Infrastructure-as-code (Terraform, CDK).

Compensation & Benefits

• Base Salary $ 215,000- $ 250,000/ year + equity.
• 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.
• Wellness & Development Monthly health and fitness stipend contributing to overall wellbeing, access to a mental health platform, reimbursement for medical travel, and an annual learning & development stipend.
• Flexible Time Off Flexible PTO so you can rest, recharge, and take care of life outside of work.
• Future Membership Enjoy our platform for free!

Life at Future

• Equity: Meaningful equity package.
• Health Coverage: All employees who meet eligibility requirements receive comprehensive medical, dental, vision, and disability insurance, plus tax-advantaged savings accounts.
• Retirement: 401(k) plan.
• Wellness: Monthly wellness stipend for fitness, recovery, and overall wellbeing, plus access to mental health resources and therapy support.
• Flexible Time Off: Flexible PTO so you can rest, recharge, and take care of life outside of work.
• Learning & Development: Annual budget for courses, conferences, coaching, and tools that help you grow in your craft.
• Future Membership: Enjoy our platform for free.

Equal Employment Opportunities at Future

We are committed to building a future where every member of our community, is healthy, cared for, and advancing forward together. Future is an equal opportunity employer. We do not discriminate based on gender, ethnicity, sexual orientation, religion, age, civil or family status, disability or race.