Job Description

We are looking for a highly skilled

Full Stack Engineer

with hands-on experience in modern web technologies and AI integration. You will be responsible for designing, developing, and maintaining scalable applications, integrating advanced AI models, and delivering robust user experiences. The ideal candidate is a problem solver who thrives in dynamic environments and is passionate about leveraging both frontend and backend technologies to build innovative solutions.

Requirements

Design, build, and maintain scalable web applications using Python and JavaScript/TypeScript. Develop intuitive front-end interfaces using frameworks such as React, Vue, or Angular. Integrate Generative AI tools and models (e.g., OpenAI API, LLaMA, Hugging Face Transformers) into applications. Build and consume RESTful and GraphQL APIs to enable seamless client-server interactions. Manage and optimize relational and non-relational databases (SQL/NoSQL). Deploy applications to cloud environments such as AWS, Azure, or Google Cloud Platform (GCP). Implement and maintain CI/CD pipelines to ensure smooth deployment and testing workflows. Utilize containerization tools like Docker and orchestration platforms such as Kubernetes. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Maintain code quality through best practices, code reviews, and automated testing.

Required Skills & Qualifications:

Strong proficiency in Python, JavaScript, and/or TypeScript. Experience with one or more front-end frameworks: React, Vue.js, or Angular. Knowledge of Generative AI tools and APIs (e.g., OpenAI, LLaMA, Hugging Face). Solid understanding of RESTful and GraphQL API design and consumption. Proficiency in cloud platforms like AWS, Azure, or GCP. Experience with SQL and NoSQL databases. Familiarity with CI/CD tools and workflows (e.g., GitHub Actions, Jenkins, GitLab CI). Hands-on experience with Docker, and Kubernetes is a plus. Excellent problem-solving, time management, and communication skills. Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

Experience working with AI/ML models in production environments. Familiarity with MLOps or integrating ML pipelines into full-stack systems. Prior experience in agile development environments.

Benefits

Opportunity to work on cutting-edge AI projects. Flexible working hours and remote work options. Collaborative, innovative, and growth-oriented team culture. * Access to continuous learning and upskilling resources.