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:
- 6+ 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 2 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.