# Applied AI Engineer

Hiring organization: [Future Co](https://career.thegoodapps.co/organizations/future-co)

Canonical page: https://career.thegoodapps.co/jobs/f6ed1fcd-8391-4f40-bbf0-1e061f2809ac

Listed on Future Co's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Location: Remote 
- Remote: yes
- Salary: 215000 – 250000 USD per year

## Summary

This role involves building and deploying AI agents and LLM-powered features that directly serve users in a health guidance platform, from conception through production monitoring. It suits engineers who enjoy shipping practical AI systems end-to-end and are comfortable working across the full stack from prompt engineering to infrastructure.

_Our summary, not Future Co's wording._

## Skills named

Amazon Bedrock, Amazon CloudFront, Amazon Cognito, Amazon S3, Amazon Web Services (AWS), AWS Cloud Development Kit (CDK), Datadog, LangChain, LangGraph, LLMs (Large Language Models), OpenTelemetry, Prompt Engineering, Python, Terraform, Tool Calling

## Required

- Strong Python and production service deployment experience
- LangChain/LangGraph or similar agent framework experience
- Hands-on production LLM experience including prompt engineering and tool calling
- Async Python, HTTP APIs, and streaming protocol comfort
- Data validation and schema design experience with Pydantic or JSON Schema
- Debugging across multiple layers from LLM calls to infrastructure
- Clear communication and cross-functional collaboration

## Nice to have

- AWS cloud services familiarity (Bedrock, ECR, CloudFront, S3, Cognito)
- Observability and tracing tools (Langfuse, OpenTelemetry, Datadog)
- LLM evaluation frameworks and automated scoring
- Infrastructure-as-code (Terraform, CDK)

Apply on Future Co's site: https://job-boards.greenhouse.io/future/jobs/4683133005