Software Engineer, AI/ML

smiledigitalhealth; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health coverage

Retirement options

Life & disability coverage

Employee assistance program

Professional training access

Job summary

smiledigitalhealth is seeking an experienced AI/ML engineer to shape AI strategy for a healthcare data platform. You will design scalable, end-to-end architectures and contribute production code in an Agile environment with short development cycles.

You will implement advanced AI features, collaborate on design discussions, and ensure maintainable code with tests and documentation. This role emphasizes hands-on AI development and strategic alignment with product priorities.

Qualifications

• Five+ years experience in software architecture, full-stack development, or AI engineering.
• Design and document end-to-end architectures for complex software projects.
• Two+ years implementing advanced AI solutions such as semantic matching, retrieval-augmented generation, or document parsing for structured data.
• Experience designing agentic systems with LangGraph, CrewAI, or OpenAI Agents SDK.
• Knowledge of data-processing workflows with Databricks, Spark, or Iceberg.
• Human-in-the-loop AI workflows, model evaluation, and iterative refinement.

Responsibilities

• Act as AI/ML subject-matter expert and track relevant technologies and opportunities.
• Document AI strategy and align with product priorities and objectives.
• Shape project scope, milestones, architecture, and designs from the outset.
• Implement AI/ML features by writing production code and prototyping emerging tech.
• Create maintainable code, tests, and technical documentation.
• Participate in design discussions, code reviews, pair programming, and client meetings when needed.
• Monitor priorities, deadlines, and backlogs and resolve technical issues.

Skills

Software architecture

Full-stack development

AI engineering

Team collaboration

Tools

LangGraph

CrewAI

OpenAI Agents SDK

Neo4j

Databricks

Spark

Iceberg

Job description

Role overview

This role develops artificial intelligence and machine-learning capabilities for a healthcare data platform that helps organizations structure, manage, and exchange clinical information. As part of a product-focused laboratory team, you will shape AI strategy, design scalable solutions for customer needs, and contribute hands-on software in an Agile environment using short development cycles.

Responsibilities

• Act as the team’s AI/ML subject-matter expert, tracking relevant technologies, patterns, and opportunities.
• Help document an AI strategy and align it with product priorities and organizational objectives.
• Shape project scope, milestones, architecture, and solution designs from the outset.
• Implement AI/ML features by writing production code, configuring external components, and prototyping emerging technologies.
• Create maintainable code, automated unit and integration tests, and technical documentation.
• Participate in design discussions, code reviews, pair programming, client meetings when needed, and broader technology planning.
• Monitor priorities, deadlines, and backlogs while helping the team resolve technical issues and deliver committed work.

Requirements

• At least five years of experience in software architecture, full-stack development, or AI engineering.
• Proven ability to design and document end-to-end architectures for complex software projects.
• At least two years implementing advanced AI solutions such as semantic matching, retrieval-augmented generation, or document parsing for structured data.
• Experience designing agentic systems with frameworks such as LangGraph, CrewAI, or the OpenAI Agents SDK.
• Working knowledge of coding-assistance tools, Model Context Protocol, model ensembles, fine-tuning, and knowledge-graph databases such as Neo4j.
• Familiarity with data-processing workflows involving technologies such as Databricks, Spark, or Iceberg.
• Experience with human-in-the-loop AI workflows, model evaluation, results testing, and iterative refinement.
• Strong coding practices, testing discipline, documentation skills, collaboration, and the ability to understand all code produced or assisted by AI tools.

Nice to have

• Experience mentoring teammates and contributing to technical architecture workshops.
• Familiarity with shared internal libraries and developer-onboarding documentation.

Benefits and work setup

• Remote work environment with flexible time away, including paid time off, personal days, and sick days.
• Health and medical coverage, retirement contribution options, life and disability coverage, and an employee assistance program.
• Access to FHIR-focused learning and broader technical training resources.
• A workplace that emphasizes inclusion, belonging, respectful collaboration, and accommodations for candidates who need them.