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