Lead Full Stack Engineer

Design, build, and deploy scalable full-stack AI-enabled applications integrating front-end, back-end, cloud-native architectures, APIs, and microservices.

Lead technical delivery within multidisciplinary teams to transform AI capabilities into secure, reliable, production-ready, and scalable enterprise solutions.

Collaborate with Product Owners, Architects, AI Scientists, and Engineers to deliver reusable AI solutions and integrate them with enterprise systems and operational workflows.

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Engineering, or related technical discipline.

At least 8 years of software engineering experience building enterprise applications, cloud-native solutions, and AI-enabled software products.

Strong hands-on experience with .NET/C#, Python, React, Angular, APIs, microservices, and cloud services.

Proven knowledge of cloud-native architectures, distributed systems, CI/CD, DevSecOps practices, and modern software engineering methodologies.

Experienced technical leader capable of guiding multidisciplinary delivery teams on AI-enabled enterprise applications.

Strong practitioner in modern full-stack development with embedded AI technologies and cloud-native design.

Familiarity with AI domains such as Generative AI, Retrieval-Augmented Generation, and integrating AI in enterprise data ecosystems and workflows.