Applied AI Engineer

New

FutureDigital health

Employment eligible to all employees located anywhere in the continental US.Full-Time

SalaryBase Salary $ 215,000– $ 250,000/ year + equity.

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Job Details

Strong Python skills and experience building and deploying services on large production systems.
Experience with LangChain, LangGraph, or similar agent frameworks.
Hands-on experience using LLMs in production, including prompt engineering, tool or function calling, structured output, and evaluation.
Comfort with async Python, HTTP APIs, and streaming protocols such as SSE and webhooks.
Experience with data validation and schema design using Pydantic and JSON Schema.
Ability to debug across application and infrastructure layers, including LLM tool calls and Terraform resources.
Familiarity with AWS services such as Bedrock, ECR, CloudFront, S3, or Cognito, or other cloud agent hosting, is a plus.
Experience with observability and tracing tools such as Langfuse, OpenTelemetry, or Datadog is a plus.
Exposure to LLM-as-a-judge, automated scoring, or dataset management is a plus.
Experience with infrastructure-as-code tools such as Terraform or CDK is a plus.

Build and ship AI agents for real users using tool-calling LLM systems, structured output, parallel API orchestration, and streaming responses.
Design evaluation harnesses and quality scoring using Langfuse and rubrics for safety, effectiveness, and personalization.
Prototype agent capabilities, validate them with evaluations, deploy them to staging and production, monitor traces, and iterate.
Improve reliability, latency, and cost using prompt caching, token budgets, retry logic, and observability.
Build API integrations and tools for agents using Pydantic validation.
Implement exercise search over local databases and structured workout submission.

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