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AI Engineer – LLM Products
dexter healthAI Engineer developing AI-powered features for healthcare software solutions. Collaborating closely with product and engineering teams to enhance existing workflows and capabilities.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and integrating AI-powered product features, with a strong focus on LLM-based workflows, debugging, and quality assurance. Proficient in using AI development tools and capable of transforming ambiguous ideas into reliable software solutions.
Highest-signal resume keywords
Python ProgrammingAI-Powered Product DevelopmentLLM-Based Workflow DesignAI Development Tools UsageDebugging and Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAI Workflow IntegrationLLM Workflow ImplementationSoftware TestingValidation Logic DesignQuality Checks for AI OutputsEvaluation Loop DevelopmentBackend Logic DebuggingStructured Output DesignProduction System Integration
Soft Skills
Fast Learning SpeedOwnership MindsetComfortable with AmbiguityClear CommunicationBias to Action
Tools & Technologies
Claude CodeCodexCursorCopilotAI Development Tools
Industry Keywords
AI-Powered FeaturesLLMUser ValueProduction QualityStartup Environment
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Build new AI-powered product features from idea to production
- Improve existing AI workflows for quality, reliability, latency, and user value
- Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior
- Build evaluation loops, tests, and quality checks for AI-generated outputs
- Integrate AI capabilities into existing product and backend systems
- Work with commercial and open-source LLMs without being tied to one specific provider
- Support self-hosted model workflows where they make sense for quality, speed, cost, or control
- Debug AI feature failures across inputs, outputs, data, backend logic, and user flows
- Use AI development tools as a core part of your daily workflow
- Ship quickly while keeping production quality high
Requirements
What you’ll need- Strong software engineering skills, especially in Python or a comparable backend language
- Experience building AI-powered product features or LLM-based workflows
- Ability to turn ambiguous product ideas into working software quickly
- Strong understanding of how to design, test, validate, and improve AI outputs
- Experience integrating AI workflows into production systems
- Strong debugging instincts across application logic, data, model outputs, and user-facing behavior
- Experience with evaluation, testing, validation, or quality checks for AI-generated outputs
- Serious experience using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar as part of your daily workflow
- High intelligence, fast learning speed, bias to action, and ownership mindset
- Comfortable with ambiguity, fast decisions, and a high-trust startup environment
- Clear written and spoken English
Benefits
Comp & perks- Remote work
- Fair compensation based on skills, experience, and location
- Ownership of important backend systems
- Work on software used in real healthcare workflows
- Modern AI-native development workflow
- Room to grow with the company