Description

You will build prototypes, tooling, and reusable solutions to scale Generative AI use cases, enabling developers to access models via standard APIs.

This role is on-site.

Responsibilities

• Develop tooling and self-service capabilities for deploying AI solutions.
• Integrate with large-scale vector stores for embeddings.
• Build common, reusable solutions to scale Generative AI use cases using pre-trained or fine-tuned models.
• Collaborate with developers to enhance the experience when building and deploying AI applications.
• Author best practices for the Generative AI ecosystem, covering models and libraries.

Required Skills

• 8-12 years of experience in software engineering, design, and development.
• Strong application development background in Python.
• Hands-on experience managing code in Git repositories.
• Experience deploying resources to the cloud using Terraform.
• Understanding of deep learning and Machine Learning frameworks like TensorFlow or PyTorch.
• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, and security.
• Demonstrated experience in DevOps and CI/CD.
• Familiarity with Information Security and secure coding practices.

Preferred Skills

• Experience with GPT, Llama, and Hugging Face models.
• Knowledge of Langchain and Semantic Kernel.
• Azure cloud platform familiarity.

Key Skills

Education

Any Graduate