Applied AI Engineer

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.