Applied AI Engineer

Future is building a personalized guidance system for lifelong health. We're looking for an Applied AI Engineer to help 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.

Responsibilities

Build and ship AI agents that serve real users, including tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses; Design evaluation harnesses and quality scoring using Langfuse and 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, including API integrations with Pydantic validation, exercise search over local databases, and structured workout submission

Requirements

Strong Python skills, with experience building and deploying services on large production systems; Experience with LangChain/LangGraph or similar agent frameworks; Hands-on experience with LLMs in production, including prompt engineering, tool/function calling, structured output, and 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, working 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 such as LLM-as-a-judge, automated scoring, and dataset management; Infrastructure-as-code (Terraform, CDK)

Benefits

Equity participation; Comprehensive medical, vision, dental, and disability insurance; Tax savings accounts; 401(k) plan with tax-advantaged savings options; Remote-first employment for employees located anywhere in the continental US, no travel required; Monthly health and fitness stipend; Access to a mental health platform and therapy support; Reimbursement for medical travel; Annual learning and development budget for courses, conferences, coaching, and tools; Flexible PTO; Free access to Future membership platform