AI & Software Engineer

💡 Build the Future of AI at Alleviate! 🤖

Are you a code‑slinging, solution‑driven engineer with a passion for AI and a knack for turning prototypes into real‑world magic? We’re looking for an AI & Software Engineer to bring our bold ideas to life—transforming next‑gen AI models into production‑ready systems that enhance how we serve people on their journey from debt to wealth.

At Alleviate
, we’re not just a fintech company—we’re a mission‑driven movement. With a culture that’s as innovative as it is supportive (designer lounges, team lunches, wellness spaces, and creative collabs), you’ll build powerful AI features that truly make a difference—in the lives of our clients and in the future of finance.

If you’re ready to join a team that values impact, thrives on challenges, and celebrates every win—big or small—this is your moment. Let’s build smarter, faster, and more human‑centered tech together.

At Alleviate Financial Solutions
, we’re transforming lives every day by offering innovative debt relief solutions. As one of the fastest‑growing companies in the industry, we are on a mission to help individuals and families regain financial freedom and build a brighter future.

Our vision? To become the next‑generation financial services company that guides people from debt to WEALTH.

• Opportunities for career growth and advancement
• A supportive, mission‑driven team passionate about making a difference
• Company perks like swag, catered lunches, teambuilding activities, and quarterly events
• State‑of‑the‑art amenities, including designer living rooms, wellness spaces, cafes, and a fitness center
• A culture of recognition, appreciation, and celebration
• Our 30,000 sq. ft. headquarters in Irvine, CA is more than just an office—it’s a second home where collaboration, growth, and innovation thrive

• $110,000 - $130,000 depending on experience

• Energetic, supportive, and collaborative working environment
• Continuous employee development, coaching, and training
• Work‑life balance

This role is responsible for transforming AI prototypes into robust, production‑ready systems by focusing on developing scalable applications and integrating AI features into web projects. Responsibilities include building and testing production‑level integrations with backend systems.

• Collaborate with the AI and product teams to transition early‑stage prototypes into scalable, maintainable production systems
• Refactor and optimize prototype codebases to adhere to production standards
• Develop web applications and backend services using modern frameworks (e.g., Next.js) deployed on Azure
• Design and build REST API endpoints and explore Graph
  
  QL integration for efficient data access
• Seamlessly integrate with our existing data infrastructure, including Snowflake and Microsoft Fabric
• Utilize Azure Databricks for deployment and potential future ML integrations
• Implement and maintain comprehensive testing strategies (unit, integration, end‑to‑end) to ensure robust, high‑quality deployments
• Work with QA teams to automate testing pipelines within our CI/CD framework
• Partner with cross‑functional teams (data, ML, Dev Ops) to iterate on features based on user feedback and system performance
• Stay current on emerging technologies and best practices in both AI and software engineering within the Azure ecosystem
• Follow all policies and procedures for the department and Company, including personnel policies and expectations as outlined in the Employee Handbook
• Other duties as assigned

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Demonstrated experience in full‑stack development with proficiency in JavaScript/Type Script, Node.js, and modern frameworks like React or Next.js
• Experience integrating AI/ML models into production systems is a plus
• Solid background in developing and deploying REST APIs; familiarity with Graph
  
  QL is desirable
• Proven experience with Azure cloud services, including deployment, monitoring, and scaling applications
• Familiarity with data platforms such as Snowflake and Microsoft Fabric, as well as Azure Databricks for analytics…