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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, common Fullstack title, mid-level experience, and metro location increase candidate competition.
Full-stack engineering skills transfer across industries, but AI/ML integration requirement raises domain specificity moderately.
Explicit 5+ years requirement plus AI integration and production full-stack competencies raise shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, deploy, and maintain full-stack applications incorporating AI/ML capabilities into core business workflows.
Provide hands-on technical leadership for full-stack engineering initiatives, including architecture, API and service development, and ensuring application reliability and scalability.
Partner with AI/ML teams and engineering leaders to shape technical approaches, address risks, and establish reusable application patterns for AI-powered products.
Minimum Requirements
Bachelor's degree or equivalent experience required.
5+ years of hands-on software engineering experience building and operating production applications.
Strong proficiency in Python preferred; experience with TypeScript, JavaScript, Java, Kotlin, Go or similar also helpful.
Experience building full-stack applications integrating AI/ML capabilities, with solid understanding of system design, security, performance, deployment, and modern development practices.
Ideal Candidate Profile
Experienced engineer with strong product thinking able to translate ambiguous business needs into clear technical solutions involving AI/ML.
Technically skilled leader who can mentor, influence architecture, and improve full-stack engineering practices in AI-powered applications.
Comfortable working collaboratively with cross-functional teams including AI/ML engineers, data scientists, and business stakeholders within a large enterprise environment.