Applied AI Engineer

2 weeks, 5 days ago
Full-time
Senior
Software Development
Future

Future

Future provides personalized training plans, dedicated coaches, and unlimited workouts, reimagining personal training for a modern and flexible fitness experience.

Hotels, Restaurants & Leisure
251-1K
Founded 2017
$110M raised

Description

  • Build and ship AI agents for real users, including tool-calling LLM systems with structured outputs, parallel API orchestration, and streaming responses.
  • Design evaluation harnesses and quality scoring to measure safety, effectiveness, and personalization.
  • Own the full lifecycle from prototyping and validation through staging and production deployment, monitoring, and iteration.
  • Improve reliability, latency, and cost through prompt caching, token budgets, retry logic, and observability.
  • Build the tools and integrations agents rely on, including API integrations, exercise search, and structured workout submission.
  • Partner closely with product, mobile, and backend engineers to identify high-impact opportunities and iterate based on data.
  • Validate new agent capabilities with real users and evaluation results before rolling them out.
  • Debug issues across application, model, and infrastructure layers.

Requirements

  • Strong Python skills with experience building and deploying services on large production systems.
  • Experience with LangChain, LangGraph, or similar agent frameworks.
  • Hands-on production experience with LLMs, including prompt engineering, tool/function calling, structured output, and evaluation.
  • Comfort with async Python, HTTP APIs, and streaming protocols such as SSE and webhooks.
  • Experience with data validation and schema design using Pydantic and JSON Schema.
  • Ability to debug across layers, from broken LLM tool calls to misconfigured Terraform resources.
  • Clear communication skills and experience working directly with product, mobile, and backend engineers.
  • Familiarity with AWS services such as Bedrock, ECR, CloudFront, S3, and Cognito, or other cloud agent hosting, is preferred.
  • Experience with observability and tracing tools such as Langfuse, OpenTelemetry, or Datadog is preferred.
  • Exposure to evaluation frameworks such as LLM-as-a-judge, automated scoring, and dataset management is preferred.
  • Experience with infrastructure-as-code tools such as Terraform or CDK is preferred.

Benefits

  • Base salary of $215,000–$250,000 per year plus equity.
  • Equity participation offered alongside base compensation.
  • Comprehensive medical, vision, dental, and disability insurance with tax savings accounts for eligible employees.
  • 401(k) retirement plan with tax-advantaged savings options.
  • Remote-first work eligible for employees located anywhere in the continental US, with no travel required.
  • Monthly health and fitness stipend, access to a mental health platform, reimbursement for medical travel, and an annual learning and development stipend.
  • Flexible PTO to rest, recharge, and manage life outside of work.
  • Free Future membership and access to the platform.

Interested in this position?

Apply directly on the company website

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