Software Engineer, AI/ML

Smile Digital Health develops healthcare data platforms and data management solutions that support the collection and exchange of structured health data. The Software Engineer, AI/ML will develop the company’s AI strategy and implement scalable artificial intelligence and machine learning solutions, including architecture, coding, testing, documentation, technical collaboration, and mentoring.

Responsibilities:

• Be the AI/ML subject matter expert on the team. Stay abreast of emerging technologies, trends and opportunities, and infuse AI/ML strategy and best practices into our solutions
• Help document the companys AI strategy and ensure alignment with the product roadmap and company objectives
• Help shape the approach, scope, milestones, and solution design at the project start
• Implement AI/ML solutions with the development team; write code, configure external components and prototype new technology
• Write manageable code and unit tests and create relevant documentation
• Participate in client meetings if required
• Remain acutely aware of all priorities, deadlines, and backlogs to positively coach and assist the team in completing the required project tasks
• Understand the functionality being developed to provide support to the team
• In-depth in-person code reviews, pair programming, and collaborative problem analysis
• Participate in recurring Product and/or Technology meetings to suggest or actively participate in corporate technical processes, architecture, and strategy, as required

Requirements:

• 5+ years of experience in software architecture, full-stack development, or AI engineering
• Proven experience designing and documenting end-to-end software architectures for complex projects
• At least two years of experience implementing advanced AI solutions, including semantic matching, RAG systems, and document parsing for structured content
• Experience designing and deploying agentic systems using frameworks such as LangGraph, Crew AI, or the OpenAI Agents SDK
• Working knowledge with coding assisted platforms like Claude Code, Codex
• Knowledge of Model Context Protocol (MCP), related tooling systems, model ensemble methods, and fine-tuning techniques
• Usage experience with Knowledge Graph databases like Neo4j or others
• Working knowledge of Apache suites like Databricks, Spark, and Iceberg or other related workflows
• Experience with Human-in-the-loop (HITL) integrations within AI workflows
• Experience implementing evaluation frameworks, results testing, and iterative refinement techniques for AI models
• Proficient in coding best practices, including writing clean, modular code and utilizing shared internal libraries
• Deep understanding of all authored code, including code generated or co-authored by AI tools
• Experience writing comprehensive unit and integration tests, along with accompanying technical documentation
• Ability to author clear, concise documentation that enables seamless developer onboarding and project contribution
• Strong collaboration skills with a track record of owning specific development components and meeting strict deadlines
• Experience mentoring team members and collaboratively brainstorming technical architectures