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The Software Developer - AI/ML is part of the Smile Labs team in the Product Department and will be responsible for developing the Artificial Intelligence strategy and software components for AI and Machine Learning that build on top of Smile Digital Health products. The team focuses on customer-specific requirements in a scalable solution model. You will work in an Agile environment with 2-week sprints.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 p