Handtevy Pediatric Emergency Standards
AI Engineer
Davie, Florida · Exec
Work authorization requiredDetected 33 days ago
TypeScriptPythonFastAPIBackend DevelopmentCode ReviewGitSQLNoSQLPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBVector DatabasesAWSDockerCI/CDGitHub ActionsDatadogLLMsRAGAgentic AILLMOps
About the role
- AI augments clinical teams; it does not replace their judgment.
- We need someone who can turn today's best models into trustworthy, well-evaluated capabilities that hold up under clinical-expert review.
- AI-assisted development is already part of how this team works, and you'll help push that further.
Responsibilities
- Build Agentic Workflows & LLM-Powered Features
- Design, build, and ship agentic systems and multi-step LLM orchestration using LangChain / LangGraph (or equivalent), including tool-calling, planning, and state management.
- Build features so that outputs are surfaced for human clinical-expert review and validation, never as unchecked recommendations.
- Develop strong prompting, context-management, and tool-integration patterns that work consistently rather than only in the happy path.
- Design & Operate RAG Pipelines
- Build and tune retrieval-augmented generation pipelines end to end: ingestion, chunking, embeddings, vector storage, retrieval strategy, and grounding.
- Build performant, well-tested Python services and APIs using FastAPI, integrating AI capabilities cleanly into our TypeScript-based platform.
- Design optimized data access across SQL and NoSQL stores and vector databases to support retrieval and agent workflows.
Requirements
- 5+ years of professional software engineering experience, with strong proficiency in Python and TypeScript.
- Demonstrated experience designing agentic workflows and multi-step LLM orchestration with LangChain / LangGraph or equivalent frameworks.
- Proficiency with relational and NoSQL databases (SQL: MySQL, optionally Postgres/MSSQL
- Experience with AWS services (e.g., S3, Lambda, CloudWatch, Aurora, Bedrock).
- Hands-on experience with Docker, Git, and CI/CD pipelines (e.g., GitHub Actions, Bitbucket Pipelines).
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Experience with LLM observability and evaluation tooling (e.g., LangSmith, Langfuse, or similar).
- Experience with guardrails, content safety, or structured-output tooling.
- Familiarity with NestJS.
- Knowledge of Datadog, New Relic, or similar observability platforms.
Nice to have
- embeddings, vector stores, retrieval strategy, chunking, and grounding.
- FastAPI experience is preferred.
- Practical command of prompt engineering, context management, and LLM evaluation.
Skills
- ingestion, chunking, embeddings, vector storage, retrieval strategy, and grounding.
- Evaluate and improve retrieval quality with concrete metrics, not impressions.
- Engineer Reliable Backend Services
- Deploy and operate on AWS, with sound observability, logging, and cost awareness for LLM-heavy workloads.
- Champion code quality, security best practices, and comprehensive test coverage in line with the integrity our systems require.
- Own Evaluation, Quality & Safety
- Establish and evolve our standards for how AI features get tested, reviewed, monitored, and released.
- Partner & Raise the Bar
- Participate in architecture discussions, code reviews, and sprint planning, and bring sound engineering judgment to a fast-moving space.
Compensation
- Competitive salary commensurate with experience.
Benefits
- Comprehensive health, dental, and vision coverage.
- Our CTO sets the technical and AI vision.
Company info
- Emergency clinicians make critical decisions in seconds. Handtevy is the Clinical Intelligence platform built for those moments, trusted by EMS agencies and hospital emergency departments across all 50 states.
- Handtevy is a healthcare technology company headquartered in South Florida. 3,000+ EMS agencies and hospitals in all 50 states and 200,000+ clinicians rely on the Handtevy platform to deliver safer, faster, and more consistent care.
- We're expanding AI in our SaaS platform to assist clinical users in their work-surfacing the right information, accelerating workflows, and reducing manual effort for the teams who configure and manage clinical content. AI-generated outputs are designed to be grounded, traceable, and reviewed through appropriate clinical governance before they are used in customer-facing or safety-critical workflows. AI augments clinical teams
- Emergency clinicians make critical decisions in seconds.
- Handtevy is the Clinical Intelligence platform built for those moments, trusted by EMS agencies and hospital emergency departments across all 50 states.
- Handtevy is a healthcare technology company headquartered in South Florida.
- 3,000+ EMS agencies and hospitals in all 50 states and 200,000+ clinicians rely on the Handtevy platform to deliver safer, faster, and more consistent care.
Visa & Work Authorization
- Authorized to work in the United States.
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This listing is sourced directly from Handtevy Pediatric Emergency Standards's careers page and normalized into a canonical job model.