Future PLC
Applied AI Engineer at Future PLC
$215,000–$250,000 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Applied AI Engineer at Future PLC listing.
- Company
- Future PLC
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $215,000–$250,000 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Future PLC is hiring a full-time Applied AI Engineer for a remote role in the United States. Future describes its product as a personalized guidance system for lifelong health, combining AI, human expertise, personal health data, and accountability to help members make and sustain health-related changes.
In this hands-on, product-focused position, you’ll take AI capabilities from concept through production, working with product and engineering partners to identify opportunities, prototype, evaluate with real users, and improve deployed services. The work centers on practical AI systems rather than research alone, with attention to product outcomes, quality, reliability, latency, and cost.
The base salary is $215,000–$250,000 per year, with equity participation. The company lists medical, dental, vision, and disability coverage for eligible employees; tax-advantaged savings accounts; a 401(k); a monthly health and fitness stipend; mental health resources; medical-travel reimbursement; an annual learning and development stipend; flexible PTO; and free access to Future’s platform. The role is remote-first for employees located anywhere in the continental United States, with no travel required. Future states that it is an equal opportunity employer and does not discriminate based on gender, ethnicity, sexual orientation, religion, age, civil or family status, disability, or race.
Role at a glance: Future PLC is hiring a remote, full-time Applied AI Engineer in the continental U.S., with a $215,000–$250,000 base salary plus equity.
Responsibilities mentioned in the listing
- Build and launch user-facing AI agents using tool-calling LLMs, structured outputs, parallel API orchestration, and streaming responses.
- Create evaluation harnesses and quality scoring, including use of Langfuse and rubrics for safety, effectiveness, and personalization.
- Manage the delivery cycle for agent capabilities, from prototyping and evaluation through staging and production deployment, trace monitoring, and iteration.
- Improve production reliability, latency, and cost with prompt caching, token budgets, retry logic, and observability.
- Develop agent tools, including validated API integrations, exercise search over local databases, and structured workout submission.
Qualifications stated in the listing
- Strong Python skills and experience building and deploying services on large production systems.
- Experience with LangChain, LangGraph, or a comparable agent framework.
- Production experience with LLMs, including prompt engineering, tool or function calling, structured outputs, and evaluation.
- Familiarity with async Python, HTTP APIs, and streaming protocols such as SSE and webhooks.
- Experience with data validation and schema design using tools such as Pydantic or JSON Schema.
- Ability to debug across system layers, from LLM tool-call failures to Terraform configuration issues.
- Clear communication skills for working directly with product, mobile, and backend engineers.
- Preferred: familiarity with AWS services such as Bedrock, ECR, CloudFront, S3, or Cognito, or other cloud agent-hosting platforms.
Full details from the source listing
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.
- Infrastructure-as-code (Terraform, CDK).
Compensation & Benefits
We believe great people should be well paid and meaningfully invested in what they're building.
Base Salary $ 215,000– $ 250,000/ year + equity. The salary range is set based on multiple considerations including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified in the future.
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.
