Role Overview :

We are looking for experienced AI Engineers to design, develop, and implement advanced AI solutions, including Generative AI models, traditional AI algorithms, and machine learning applications. The candidate should possess strong expertise in Python, Azure technologies, and modern AI frameworks, with a focus on scalable and production-ready solutions.

Key Responsibilities :

- Develop and implement Generative AI, LLM, and traditional AI solutions.

- Design and build Agentic AI-based workflows and applications.

- Apply statistical and data science techniques for business use cases.

- Build and maintain APIs using FastAPI.

- Work with Azure services including Azure Redis Cache, Azure Data Lake Storage (ADLS), Azure Kubernetes Service (AKS), and Azure Functions.

- Manage and optimize Vector Databases, Relational Databases, and MongoDB.

- Collaborate with business and technology teams for AI solution implementation.

- Utilize Jupyter Notebook for experimentation and prototyping.

- Implement CI/CD pipelines and DevOps best practices.

- Conduct code reviews and maintain coding standards.

Must-Have Skills :

- 5+ years of hands-on Python development experience.

- Experience working with Jupyter Notebook.

- Strong expertise in Generative AI, LLMs, and traditional AI algorithms.

- Proven experience in designing and developing Agentic AI solutions.

- Experience with FastAPI.

- Knowledge of Azure services (Redis Cache, ADLS, Kubernetes, Azure Functions).

- Experience with Vector Databases, Relational Databases, and MongoDB.

- Knowledge of Git, CI/CD, and DevOps practices.

Additional Requirement :

- Candidates should have working knowledge of at least one of the following AI productivity tools : GitHub Copilot, Factory, Cursor, or 8090.