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 company’s 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
This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.
Skills Required
- 5+ years of experience in software architecture, full-stack development, or AI engineering
- Experience designing and documenting end-to-end software architectures for complex projects
- At least two years implementing advanced AI solutions, including semantic matching, RAG systems, and document parsing for structured content
- Experience designing and deploying agentic systems using LangGraph, CrewAI, or OpenAI Agents SDK
- Working knowledge of Claude Code and Codex
- Knowledge of Model Context Protocol, related tooling systems, model ensemble methods, and fine-tuning techniques
- Experience with knowledge graph databases such as Neo4j
- Working knowledge of Databricks, Spark, Iceberg, or related workflows
- Experience with human-in-the-loop integrations in AI workflows
- Experience implementing AI model evaluation frameworks, results testing, and iterative refinement
- Proficiency in clean, modular coding practices and shared internal libraries
- Comprehensive understanding of authored, AI-generated, and AI-assisted code
- Experience writing unit and integration tests with technical documentation
- Ability to write clear documentation for developer onboarding and contribution
- Strong collaboration skills and ability to own development components and meet strict deadlines
- Experience mentoring team members and collaboratively developing technical architectures
What We Do
Smile Digital Health (doing business as Smile CDR Inc.) specializes in delivering fast, secure, compliant data infrastructures as a service to enable and empower interconnectivity for data-intensive sectors such as healthcare. We are a solutions platform helping organizations like governments, researchers, health systems, healthcare providers, and app developers build connected health solutions and products by leveraging our core expertise in health data and HL7 FHIR. Our flagship product, Smile CDR, is the world’s first FHIR-based clinical data repository (CDR) as a service. Smile CDR is a high performance and secure solution built on the principles of Privacy by Design. Flexibility is a hallmark of the service as it can be hosted in the cloud or on-premises depending on your needs. The design was strongly influenced by real-world experience in both the jurisdictional and organizational setting. Smile CDR provides a rich set of features and capabilities including: -Multiple FHIR versions -FHIR Profiles -Full text indexing of clinical records -Type ahead search functionality -FHIR, HL7v2 and custom ETL for data input -Federated identity and identity provider functionality -International character locale support -Terminology services -Auditing -Smart on FHIR support -Rapid deployment -Extensive administrative tooling Leveraging more than 40 years of experience in building enterprise-class systems, our team includes experts in building integrated healthcare systems including FHIR-based solutions such as HAPI, e-prescriptions and other e-health solutions. We were motivated by the need to improve upon existing options for sharing health data within and across organizations. Smile CDR is the maintainer of HAPI FHIR, the prevailing open source reference implementation of FHIR worldwide
