Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Sr. .NET Developer (AI Integration) to join our innovative and dynamic team.
Candidates should be located in Coppell, Texas, and be able to be onsite 2-3 days per week.
Sr. .NET Developer (AI Integration) | About You
As a Senior .NET Developer (AI Integration), you are responsible for designing, building, and integrating enterprise‑grade applications that combine robust .NET development with modern AI capabilities. Approximately 60% of your focus is core .NET application development, while 40% centers on implementing and integrating AI and ML services into those applications. You thrive in greenfield environments, enjoy building systems from the ground up, and excel at integrating external AI services through well‑designed APIs. You bring a strong implementation mindset, ensuring solutions are scalable, secure, and production‑ready. You collaborate closely with cross‑functional teams to turn innovative ideas into reliable, high‑impact applications.
Sr. .NET Developer (AI Integration) | Day-to-Day
Design, develop, and maintain enterprise‑grade applications using .NET and C#, with a primary emphasis on backend services and application architecture.
Implement and integrate AI/ML capabilities into applications using cloud‑based services and APIs, ensuring seamless interaction with .NET systems.
Build and deploy RESTful APIs to enable integration between internal applications, AI services, and external platforms.
Lead greenfield development efforts, including architecture definition, service design, and foundational application setup.
Integrate AI features such as intelligent agents, automation, or decision‑support capabilities while ensuring performance, reliability, and security.
Collaborate with product, data, and DevOps teams to support end‑to‑end implementation, deployment, and ongoing enhancement of AI‑enabled applications.
Stay current with advancements in software engineering and applied AI, evaluating new tools and approaches for practical enterprise use.