Lead Fullstack Engineer- Advanced AI
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, build, deploy, and maintenance of application layers, services, APIs, and user experiences integrating AI/ML into core business workflows.
Provide hands-on technical leadership for full-stack engineering initiatives, contributing to architecture, code quality, API design, testing, deployment, and operational support.
Ensure applications are secure, reliable, scalable, performant, and aligned with enterprise standards, while collaborating cross-functionally to resolve risks and evolve reusable application patterns.
Minimum Requirements
8+ years of hands-on software engineering experience building and operating production applications.
Strong proficiency in full-stack development including backend and frontend; Python experience strongly preferred; experience with TypeScript, JavaScript, Java, Kotlin, Go, or similar languages is helpful.
Experience integrating AI/ML capabilities such as model APIs, LLM-powered workflows, intelligent automation, or data science outputs into applications.
4-year degree or equivalent experience.
Ideal Candidate Profile
Experienced in building scalable, maintainable, and well-tested AI-powered full-stack applications with system design and application architecture expertise.
Able to translate ambiguous business/user needs into clear technical solutions and collaborate effectively with AI/ML engineers, data scientists, product, and business stakeholders.
Strong communicator and mentor with a track record of raising engineering practices and delivering production-grade AI applications creating measurable business value.
