Associate AI Engineer

About Wellfit:

Wellfit is the dental industry’s fintech solution! A healthcare fintech company that enhances experiences between patients, providers, employers, and payors. Wellfit provides access to treatment and care by removing financial barriers. As a profitable and growing healthcare fintech company, Wellfit is investing in AI, automation, and modern engineering practices to improve how we build products, support customers, and deliver innovative solutions across the healthcare and dental ecosystem.

The Associate AI Engineer will support Wellfit’s Innovation and Engineering teams by helping research, prototype, test, and implement AI-powered solutions across our products, internal tools, and development workflows. This is a hands‑on engineering role for someone early in their AI career who has a strong software development foundation and wants to grow in applied AI, cloud platforms, automation, and modern product engineering.

You will work closely with senior engineers, architects, and business stakeholders to help bring ideas from concept to proof‑of‑concept and, where appropriate, into production‑ready solutions. The ideal candidate is curious, technical, coachable, and comfortable experimenting with new technology. You should enjoy building, testing, learning quickly, documenting what you find, and helping the team evaluate whether an idea is technically feasible and valuable to the business.

• Support the development of AI-powered proof‑of‑concepts, prototypes, and internal tools that align with Wellfit’s Innovation Strategy.
• Write clean, maintainable code using Python and/or .NET technologies to support AI integrations, automation, APIs, and experimental solutions.
• Assist with integrating AI capabilities into new and existing Wellfit technologies, products, and workflows.
• Work with senior engineers to evaluate technical approaches, identify trade‑offs, and recommend practical solutions.
• Experiment with AI tools, APIs, prompts, embeddings, retrieval‑augmented generation, workflow automation, and model‑driven features.
• Help test and validate AI-powered features to ensure outputs are useful, accurate, secure, and aligned with business needs.
• Participate in research and development initiatives by applying structured experimentation, documenting assumptions, testing outcomes, and summarizing findings.
• Collaborate with engineering, product, and innovation stakeholders to understand business problems and translate them into working prototypes or technical recommendations.
• Help create unit tests, regression tests, and system‑level tests to validate new features or changes.
• Debug, refactor, and improve code under the guidance of senior technical team members.
• Document technical solutions, designs, workflows, findings, and limitations clearly through written documentation and diagrams.
• Learn and apply Wellfit’s software development standards, engineering processes, and best practices.
• Stay current on emerging AI tools, cloud services, and development practices that may improve Wellfit’s products or internal operations.

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field; equivalent practical experience may be considered.
• 1–3+ years of software development, AI engineering, data engineering, automation, or related technical experience.
• Strong hands‑on coding ability in Python.
• Exposure to .NET, C#, ASP.NET, or Microsoft‑based development environments is strongly preferred.
• Familiarity with APIs, web services, databases, source control, and modern software development practices.
• Foundational understanding of AI, machine learning, generative AI, large language models, prompt engineering, or AI‑assisted development workflows.
• Experience building prototypes, proof‑of‑concepts, scripts, internal tools, automation workflows, or small product features.
• Exposure to cloud platforms such as Azure, AWS, or GCP;
  Azure experience is preferred.
• Familiarity with Azure AI services, Azure OpenAI, Azure AI Foundry, Microsoft Fabric, or similar platforms is a plus.
• Basic understanding of web development, debugging, data…