Description

You will deliver AI-powered solutions that transform raw data into actionable insights for enterprise architecture guidance.

Responsibilities

• Use state-of-the-art Generative AI models and techniques to solve complex, real-world problems.
• Build data pipelines and analytics workflows at scale using Databricks and Python.
• Design and implement scalable, responsive backend solutions to ensure system efficiency.
• Collaborate with Product Management, UI/UX, and engineering teams to deliver customer-centric features.
• Contribute to discussions and the evolution of the technical stack and engineering best practices.

Required Skills

• 5+ years of professional software engineering experience, preferably in backend development.
• Advanced expertise in Python, specifically developing and deploying LLM applications.
• Practical experience in Data Engineering, ideally using Databricks or similar tooling.
• Experience building business applications leveraging Generative AI.
• Familiarity with REST API and GraphQL for designing large-scale data flows.
• Demonstrated ability to drive high-impact projects in agile environments.
• Strong understanding of scalable backend architecture.
• Proficiency with Docker and Kubernetes.
• Experience with TensorFlow or PyTorch.

Key Skills

Education

Any Graduate