FC
$215,000 – $250,000
Listed on Future Co’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
- 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
Log in to see which of these are already on your profile.
What they ask for
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)