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
Numbers & Facts
Location
Phoenix, AZ
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Application Programming Interface (API)unmatched
Architectural Servicesunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Call Centersunmatched
Cloud Applicationsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Continuous Improvementunmatched
Cross-Functionalunmatched
DevOpsunmatched
Electronicsunmatched
Emerging Technologyunmatched
GCP (Good Clinical Practices)unmatched
GraphQLunmatched
Javaunmatched
JavaScriptunmatched
Large-Scale Systemsunmatched
Leadershipunmatched
Machine Learningunmatched
Mathematicsunmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Statisticsunmatched
System Integration (SI)unmatched
Systems Reliabilityunmatched
Team Lead/Managerunmatched
Technical/Engineering Designunmatched
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