AI Engineer (LLM Products) - Remote

Dexter Health; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work

Ownership of backend systems

Real healthcare workflows

Job summary

dexter health is hiring an AI Engineer to ship AI-powered product features in a hands-on role. You will build, validate, and productionize AI workflows, with ownership of delivery and quality.

Teams collaborate with product and engineering to move fast while ensuring reliability and user value. You will work with Claude Code, Codex, Cursor, Copilot and other tools, including self-hosted LLMs, to create end-to-end AI features for healthcare workflows.

Qualifications

• Strong Python and backend skills.
• Experience building AI-powered features or LLM workflows.
• Ability to turn ideas into production software quickly.
• Experience designing, testing, validating, and improving AI outputs.
• Experience integrating AI workflows into production systems.
• Strong debugging across data, code, model outputs, and UX.
• Experience with evaluation/quality checks for AI outputs.
• Familiar with Claude Code, Codex, Cursor, Copilot or similar tools.

Responsibilities

• Build AI-powered product features from idea to production.
• Improve AI workflows for quality, latency, and user value.
• Design and implement LLM-based workflows with validation and fallback logic.
• Integrate AI capabilities into existing product and backend systems.
• Work with multiple LLMs, including self-hosted options, as needed.
• Debug AI feature failures across inputs, outputs, and data.

Skills

Python

Backend development

AI workflows

English communication

Tools

Claude Code

Codex

Cursor

Copilot

Self-hosted LLMs

Job description

Welcome to dexter health!

At dexter health, we build AI-powered software for care teams. Our mission is to reduce administrative workload in healthcare so caregivers can spend more time with patients.

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 is a hands-on engineering role. Not research. Not prompt-only. You will turn ambiguous product ideas into working, production-ready AI features.

The role is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.

You will work closely with product and engineering, but we expect you to take real ownership. You should be comfortable moving fast, making technical decisions under ambiguity, and using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar every day.

Tasks

As our AI Engineer, you will:

• 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 behaviorBuild 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 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

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

Why?

Caregivers spend too much time on documentation, coordination, and administrative work. We build technology that reduces this burden.

AI is core to our product. But useful AI features do not come from demos alone. They need strong engineering, fast iteration, evaluation, production thinking, and deep ownership of the user outcome.

If you want to build AI product features that ship, improve real workflows, use AI tools every day, and take ownership in a fast-moving team, we would like to hear from you.