Description:

Design, develop, and maintain scalable and efficient backend applications

and RESTful services using Python and FastAPI.

Implement and optimize Retrieval-Augmented Generation (RAG) systems

for AI applications.

Develop and manage data pipelines and orchestration workflows for AI and

ML models.

Ensure adherence to good coding practices, including writing modular

code, implementing unit tests, and conducting code reviews.

Collaborate with AI/ML engineers, data scientists, and cross-functional

teams to build and deploy machine learning models into production

systems.

Optimize database queries and manage structured and unstructured data

efficiently.

Continuously integrate and deploy code using version control practices

and CI/CD pipelines.

Contribute to architectural discussions, performance optimization, and

scalability improvements.

Required Skills & Traits:

Candidate from any branch with strong programming skills via working on

tangible projects

Programming Foundation: Strong understanding of programming

concepts with strong proficiency in Python.

Problem Solving: Strong analytical and debugging skills.

Version Control: Good understanding of Git and version control principles.

Good to have:

Web Technologies: Experience in building RESTful APIs and

working with FastAPI, Flask, or Django.

Database Knowledge: Familiarity with database concepts, SQL

operations, and NoSQL databases.

Machine Learning & AI Exposure: Hands-on experience with

Machine Learning and Deep Learning techniques, and

understanding of AI model deployment.

Experience with RAG Systems: Prior exposure to Retrieval-

Augmented Generation (RAG) architectures and building AI-driven search or retrieval systems.

Soft Skills: Excellent communication, teamwork, and problem-solving abilities.

Expected Outcomes:

Specific courses required for project execution:

Sarvam AI - Backend engineering

Station Overview