GenAI Engineering Lead

TechDigital

  • Phoenix, AZ
  • 28 days ago

    Highlights

    Academic qualifications/Level of Education Undergraduate / Associate level degree / diploma from an accredited institution, in Computer Science / Statistics / Applied Mathematics / EE / Electronics or, any equivalent technical field of study. Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications.

    Numbers & Facts

    LocationPhoenix, AZ
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Role/Responsibilities
    • Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams.
    • Architect and design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure.
    • Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions.
    • Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence.
    • Make critical architectural decisions to optimize performance, scalability, and reliability of systems.
    • Collaborate with stakeholders to align technological solutions with business objectives.
    • Stay updated with emerging technologies and industry best practices to ensure continuous improvement.
    • Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications.
    • Strong programming skills in Python, JavaScript, Java, or other backend languages.
    • Experience with API development (RESTful APIs, GraphQL).
    • Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy.
    • Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills.

    Qualifications & Experience

    Minimum Requirements
    • Hands-on experience in GCP, Data Engineering, or DevOps is highly advantageous.
    • Familiarity with industry best practices and emerging technologies in AI and machine learning.

    Academic qualifications/Level of Education
    • Undergraduate / Associate level degree / diploma from an accredited institution, in Computer Science / Statistics / Applied Mathematics / EE / Electronics or, any equivalent technical field of study. Applications are also invited from candidates with major in Software Engineering / Information Technology / Management Information Systems.
    Desired Skills/Qualifications
    • Gen AI, LLM's, RAG, vector databases and conversational bots
    • API Development
    • Playbooks (required)
    • GCP and Data Engineering (required)
    • ADK (required)
    • LangChain and LangGraph
    • Vertex AI
    • Machine Learning Models
    • Contact Center industry experience

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