AI Product Engineer

AI Product Engineer

Location:

Office location, Indianapolis, IN onsite. Occasional travel to Damar locations may be required.

Employees at Damar aren't just part of a workforce — they're part of a mission-driven team making a real difference in people's lives. Since 1967, Damar has been recognized across Indiana as one of the largest not-for-profit organizations and a leading provider of behavioral health and intellectual and developmental disability (I/DD) services. We foster a united, purpose-driven culture where employees feel valued, supported, and motivated to give their best.

It's no surprise Damar has been named a Top Workplace for several years!

Ready to make a real difference? Join us in empowering individuals with intellectual and developmental disabilities or autism. Damar is looking for a talented and motivated AI Product Engineer to join our team. The AI Product Engineer bridges the gap between Damar's mission and the technical development and execution of AI products. This role is responsible for hands-on development and troubleshooting while partnering with external technology vendors to refine products and prepare them for successful implementation, scalability, and commercialization.

Here are just a few of the benefits you'll enjoy at Damar:

• Eligible for the Damar Advantage including discounts at Damar Health Services and Damar Pharmacy
• Comprehensive training in verbal intervention and physical management techniques
• Medical, Dental, and Vision Insurance options
• Up to $3,000 per year in Tuition Assistance
• Save for your retirement with our 401(k) Plan Participation
• Take care of loved ones through our Damar provided Life Insurance and additional voluntary options
• Short-Term and Long-Term Disability Insurance options
• Paid Holidays to spend time with loved ones
• Paid Time Off (PTO) for rest and renewal

Remarkable ways you will be making a difference:

• 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

What you need to be considered:

• 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
• Equipment Familiarity:
  Computer and standard office technology;
  Claude Code;
  Git Hub;
  Google Workspace;
  Google Cloud Platform (GCP);…