AI/python developer

Expert In Recruitment Solutions

  • Summit, NJ
  • 6 days ago
  • Remote

    Highlights

    This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership. The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization.

    Numbers & Facts

    LocationSummit, NJ (
    Remote
    )

    Description


    Position: AI/python developer
    Location: remote
    Interview process: 2 video interviews to hire
    Contract: 12 months extendable

    Must have: any AI tooling, front end (either vue.js or react, or angular), python, Infrastructure as code (IAC) with Terraform, cloud experience

    Position Summary
    The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.
    The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.



    Key Responsibilities
    • Define and lead the organization's enterprise AI architecture strategy.
    • Design, build, and deploy scalable AI-powered applications and distributed systems.
    • Provide technical leadership for large-scale AI transformation initiatives.
    • Develop production-quality software and remain hands-on with coding and solution implementation.
    • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
    • Establish AI governance, best practices, security standards, and ethical AI frameworks.
    • Evaluate emerging AI technologies and recommend strategic investments.
    • Mentor senior engineers and cultivate future technical leaders.
    • Drive adoption of AI-assisted development tools and modern engineering practices.
    • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
    • Lead technical design reviews and influence enterprise-wide engineering standards.
    • Support multiple project teams operating in quarterly delivery cycles.


    Team Environment
    • Cross-functional teams consisting of:
      • Software Engineers
      • Research Scientists
      • Product Managers
      • AI/ML Engineers
    • Typical project teams range from 1 5 engineers
    • Agile delivery model with quarterly planning and execution cycles
    • Strong focus on AI-first software engineering practices
    • Active use of AI-assisted development tooling


    Required Qualifications
    • Bachelor's degree in Computer Science, Engineering, or a related technical field
    • 15+ years of software engineering experience
    • Extensive experience designing and implementing enterprise-scale AI solutions
    • Expert-level Python development experience
    • Proven experience building scalable distributed systems
    • Strong understanding of AI/ML technologies and modern software architecture
    • Experience designing cloud-native applications within AWS and/or GCP environments
    • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
    • Experience leading large technical programs and influencing organizational strategy
    • Excellent communication and stakeholder management skills


    Required Technical Skills
    Backend Development
    • Python (required)
    • Strong backend engineering experience
    • API and microservices design
    Frontend Development
    • Vue.js (preferred)
    • React or Angular acceptable
    Cloud & Infrastructure
    • AWS and/or Google Cloud Platform (GCP)
    • Terraform
    • Cloud-native architecture
    • Distributed systems
    DevOps & Development Tools
    • GitLab
    • CI/CD pipelines
    • Infrastructure automation
    Artificial Intelligence
    • Generative AI technologies
    • AI application architecture
    • AI-assisted development tools
    • Experience with tools such as:
      • Claude
      • Codex
      • GitHub Copilot
      • Similar AI engineering platforms

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