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Job Description
Structured overview of role & requirementsAbout This Role
Develop and integrate Generative AI applications using Large Language Models and Agentic AI frameworks.
Contribute to building enterprise AI platforms, reusable frameworks, and ensure AI solutions meet governance, reliability, and security standards.
Build backend services, APIs, and data pipelines utilizing AI/ML frameworks and cloud-native technologies on Google Cloud Platform.
Minimum Requirements
3–5+ years of experience in full stack software engineering, machine learning engineering, data engineering, or applied AI.
Hands-on experience with Generative AI and Large Language Models including Agentic AI workflows and RAG techniques.
Strong Python programming skills and experience with AI/ML frameworks such as LangChain, PyTorch, TensorFlow, or Scikit-learn.
Working knowledge of Google Cloud Platform services like BigQuery, Composer (Airflow), DataProc, and related data services.
Ideal Candidate Profile
Experienced in building scalable, secure AI systems aligned with responsible AI and governance standards in enterprise environments.
Comfortable with cloud-native application development, distributed systems, and modern CI/CD/product deployment workflows.
Able to collaborate across cross-functional teams with strong analytical and communication skills to deliver AI-driven customer and sales platform enhancements.