Applied AI Engineer at Future

Future is looking for an Applied AI Engineer to help build and ship AI-powered features that directly improve 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: tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses

Design evaluation frameworks using Langfuse: rubrics, test cases, safety scoring

Own the full loop: prototype a new agent capability, validate it with evals, deploy it to staging and production, monitor traces, and iterate

Optimize for reliability, latency, and cost via prompt caching and token budgeting

Build backend integrations using Pydantic validation and database queries

Required Tech Stack

Python (production-grade)

LangChain/LangGraph or similar agent frameworks

Prompt engineering, function calling, structured outputs, evaluation

Async Python, HTTP APIs, SSE/webhooks

Pydantic, JSON Schema

Debugging across full stack layers

Nice-to-Have

AWS services (Bedrock, ECR, S3, CloudFront, Cognito)

Tracing tools (Langfuse, OpenTelemetry, Datadog)

LLM evaluation frameworks and dataset management

Infrastructure-as-code (Terraform, CDK)

Salary: $215,000-$250,000/year + equity. Remote-first, continental US only. Benefits include health/dental/vision, 401(k), flexible PTO, wellness stipend, and free platform access.