Applied AI Engineer - Remote

dexter health; United States; Remote; Confidential; Full time

Benefits offered by this job

Remote work

Fair compensation based on skills, experience, and location

Ownership of important backend systems

Job summary

dexter health is seeking a high-agency AI Engineer in the United States to build and enhance AI features and workflows. This hands-on role involves integrating AI capabilities into products and addressing quality, reliability, and speed. Candidates should possess strong skills in Python or similar backend languages and experience with AI systems and development tools. The position offers a remote work environment with opportunities to contribute meaningfully to healthcare workflows.

Qualifications

• 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.

Responsibilities

• Build new AI-powered product features from idea to production.
• Improve existing AI workflows for quality, reliability, latency, and user value.
• Integrate AI capabilities into existing product and backend systems.

Skills

Software engineering skills in Python

Building AI-powered product features

Designing AI workflows

Debugging ability

Clear written and spoken English

Tools

Claude Code

Codex

Cursor

Copilot

Job description

We are looking for a high‑agency AI Engineer to help us build new AI features faster and improve the quality, reliability, and speed of existing AI workflows. This hands‑on engineering role focuses on shipping AI product features, with some AI systems and infrastructure work as needed. We expect you to take real ownership, move fast, make technical decisions under ambiguity, and use AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar every day.

Tasks

• 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

We care less about formal seniority and more about speed, intelligence, ownership, and product impact. We like people who operate with founder‑like urgency: they figure things out, make progress under ambiguity, and care about outcomes more than titles.

Must‑have

• 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 systemsStrong 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

Nice‑to‑have

• Experience with frontend or fullstack product development
• Experience with self‑hosted LLMs, model serving, inference optimization, or similar systems
• Experience with open‑source LLMs and related deployment workflows
• Experience improving latency, cost, quality, or reliability of AI systems
• Experience with healthcare software, healthcare data, or regulated environments
• Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation
• German language skills
• Knowledge of nursing homes or elderly care workflows

This role is probably not for you if

• You are mainly looking for an ML research role
• You are a prompt engineer without strong coding skills
• You need detailed specifications before making progress
• You prefer slow, highly structured corporate environments
• You are mainly looking for management, not hands‑on building
• You want to use AI tools only occasionally instead of as part of your daily workflow
• You optimize for perfect process over fast, reliable execution

Benefits

• 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