Description

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 And 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

Key Skills
Education

Any Graduate

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