Full Stack Engineer (AI)

Job Description

Lead Full Stack Engineer (AI) - Hybrid Jersey City

Job responsibilities

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• Lead the design, development, and delivery of full stack AI-enabled applications and Conversational AI.
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• Provide technical leadership across frontend, backend, API, database, and AI integration workstreams.
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• Architect scalable, maintainable, and secure solutions using React , Python , Java , REST APIs, GraphQL, and database technologies.
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• Guide the implementation of AI agents , AI workflows , RAG and intelligent automation capabilities.
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• Establish and promote engineering best practices, including clean code, reusable components, automated testing, CI/CD, and design patterns.
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• Drive integration with relational and non-relational databases, including SQL , Oracle , ElasticSearch and MongoDB .
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• Collaborate with Agile SCRUM teams through sprint planning, backlog refinement, daily standups, demos, and retrospectives.
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• Stay current with emerging AI, GenAI, full stack, and cloud-native engineering trends, and assess practical adoption opportunities.
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• Experience with message queues, streaming platforms, pub/sub models, or event-driven architectures.
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• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
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• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
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Required qualifications, capabilities, and skills

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• Minimum of 5+ years of full stack application development experience.
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• Hands-on practical experience delivering system design, application development, testing, and operational stability
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• Advanced in REACT and one or more programming language(s)
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• Proficiency in automation and continuous delivery methods
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• Proficient in all aspects of the Software Development Life Cycle
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• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
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• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
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• Practical cloud native experience ex. AWS
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• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
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• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
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