Backend Engineer

Client is a disruptor in GenAI Space, led by experienced team of IIT Delhi and IIT Mumbai graduates with over 75 years of collective experience between them.

Their proprietary SaaS platform enhances AI reliability by boosting accuracy and minimizing errors and hallucinations in model outputs. Leveraging our cutting-edge relevance / evidence-based validation models and relevance index, we ensure our solutions are integral to advanced AI use cases.

As a Software Development Engineer, you will work closely with senior engineers to develop a cutting edge Gen AI platform. Your work will be instrumental in shaping up how companies use LLMs to solve a variety of problems without worrying about the accuracy of generation. It is a rare opportunity to join a company at the formative stage with customer traction and build scalable ML infrastructure.

Key Responsibilities:

Design and develop the platform and solutions which can work in large scale multi tenant environments.

Write well documented code with test cases. Deploy and maintain the product in a cloud environment.

Collaborate with cross-functional teams to deliver high-quality products that leverage our core AI technologies.

Contribute to team strategy, roadmap, tooling, process, and culture.

What We Offer

The opportunity to be a core member of a groundbreaking Gen AI startup.

Work on challenging and impactful problems that push the boundaries of technology.

Collaborate with a talented and passionate team in a dynamic and supportive environment.

Fast growth, learning and the chance to shape the future of Nand AI.

Competitive salary and benefits package, including remote work flexibility, generous paid time off, and comprehensive insurance.

Qualifications:

Bachelors or higher degree in Computer Science or a related field or equivalent practical experience.

1-5 years of experience in software development

Expertise in one or more backend programming languages like Python, Java, Rust, or Go and the ability to learn new technologies swiftly.

Experience with web applications development and micro services architecture.

Preferred Experience:

Outstanding communication skills, both written and verbal.

Experience with early stage startups.

Experience in working with ML infrastructure or generative AI applications.

Experience with distributed systems, cloud platforms (AWS, GCP, Azure preferred), and containerization technologies (Docker, Kubernetes) a plus.