Applied AI Engineer
AI Tools
Tech Stack
Agent Workflow
Building and shipping AI agents that serve real users: tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses. Full lifecycle agent development from prototype through production monitoring.
About the Role
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.
