Designs, develops, tests, deploys, and maintains code supporting Damar’s AI product stack, including data pipelines, model integrations, APIs, application logic, and other supporting systems
• Monitors and improves the reliability, performance, scalability, and maintainability of AI-enabled applications and supporting infrastructure
• Identifies, troubleshoots, and resolves bugs, system issues, and technical debt, including improving or refactoring code and systems inherited from previous development work
• Independently prototypes, develops, tests, and ships new AI product features and enhancements based on organizational and user needs
• Evaluates technical approaches and makes practical engineering decisions that balance product needs, maintainability, scalability, security, and speed of delivery
• Serves as an internal technical resource and point of contact for AI products, systems, integrations, and related development work
• Partners with external technology vendors and translates technical discussions, requirements, limitations, and recommendations into clear information for non-technical leaders and staff
• Collaborates with internal stakeholders to translate business needs and workflow challenges into technical requirements and product solutions
• Creates and maintains clear technical documentation for code, architecture, integrations, configurations, processes, and key technical decisions to ensure institutional knowledge remains within the organization
• Contributes to the technical roadmap for AI products by identifying priorities, technical dependencies, system improvements, risks, and future development opportunities
- Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field preferred; equivalent practical experience, including relevant professional experience, technical training, bootcamp education, or demonstrated technical expertise, may be considered in lieu of a degree
- Experience: Minimum of 3 years of relevant professional experience in software engineering, application development, AI/ML engineering, or a related technical field
- EquipmentFamiliarity: Computer and standard office technology; Claude Code; GitHub; Google Workspace; Google Cloud Platform (GCP); and other software development, AI, cloud computing, and collaboration tools as required
- Minimum age of 21 per licensure requirements
- Ability to pass and maintain CPR certification
- Must meet and maintain background screening requirements for all Damar Programs as detailed in policy 1.HR.02 Pre-Employment and Employee Background Checks
- Valid Indiana driver’s license and driving record that meets eligibility requirements of Damar’s insurance carrier (for all positions requiring driving)
