Job Description

Job Summary:

Experience - Min 6 -8 years. Full Stack Engineer to take ownership of the design, development, and maintenance of both client-side and server-side applications. This role is a unique opportunity to work on the cutting edge of Generative AI, requiring expertise in building robust backend services and interactive user interfaces. The ideal candidate will be proficient in a wide range of technologies, with a strong emphasis on Python, AI/ML frameworks, and modern web development.

Key Responsibilities:

End-to-End Development:

Design, develop, and maintain high-performance APIs and backend services to power our core applications.

Front-End Engineering:

Implement the visual and interactive elements of the software, translating design concepts into seamless user experiences using JavaScript frameworks like Angular or React.

AI/ML Integration:

Build and integrate intelligent features into the application using technologies such as LangChain and RAG, leveraging AI/ML frameworks like TensorFlow and PyTorch.

Data & Database Management:

Work with vector databases and other data storage solutions to manage and process information efficiently.

Quality Assurance & Testing:

Conduct comprehensive integration testing and event processing to ensure the reliability and stability of the application.

Code Hygiene & Shared Libraries:

Develop shared libraries and maintain a high standard of code hygiene and quality across the codebase.

Cloud Operations:

Collaborate on the provisioning, configuration, logging, monitoring, and automation of services on cloud platforms (GCP/Azure).

Required Skills & Qualifications:

Programming Languages:

Strong proficiency in

Python

and

Java

, with an emphasis on code quality and best practices.

Web Development:

Expertise in

JavaScript

and modern front-end frameworks like

Angular or React

.

AI/ML:

Hands-on experience with

TensorFlow

and

PyTorch

.

Generative AI:

Practical knowledge of

LangChain

and

RAG

(Retrieval-Augmented Generation) architectures.

Database Management:

Familiarity with

vector databases

for semantic search and AI applications.

Cloud Computing:

Experience with

GCP

and/or

Azure

, including provisioning, configuration, and monitoring services.

Software Engineering:

A solid understanding of API design (REST, GraphQL), microservices architecture, and automated testing principles.

Preferred Qualifications:

Experience with a wide range of DevOps tools. * A portfolio of completed projects demonstrating your full-stack capabilities.