Job Description
As a Software Engineer, to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services.
Why it’s a big deal…
You will ensure to participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. You would review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines.
Are you the person we’re looking for?
- Related experience in AI development.
- Your experience of at least 3 years in software development, practices and design patterns.
- Report bugs and errors to development teams and evaluate product code according to specifications.
- Work with cross-functional teams to ensure quality throughout the software development lifecycle.
Skills and Tools.
- You have expertise as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks and high-level familiarity with AI/ML, GenAI, and MLOps concepts.
- You also have hands-on experience with object-oriented programming, concurrency, design patterns, and REST APIs.
- Your familiarity with CI/CD tooling such as Terraform and GitHub Actions and frameworks like LangChain, LangGraph, and databases like SQL and NoSQL such as MongoDB, MSSQL, or Postgres.
Cloud Service Provider. You have experience of AWS and MS Azure and good to have experience with GCP.
Dev Ops Model. Your understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production.
