Software Engineer- Fullstack

Responsibilities: Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript. Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications. Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP. Build and manage APIs for seamless communication between the frontend and backend systems. Integrate third-party services and APIs to enhance application functionality. Implement CI/CD pipelines to automate testing, integration, and deployment processes. Monitor and optimize the performance of web applications to ensure a high-quality user experience. Stay up to date with emerging technologies and industry trends to continuously improve development processes and application performance.

Requirements

Qualifications: Bachelors/master's in computer science or related subjects or hands-on experience demonstrating working understanding of software applications. Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications. Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI. Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD) Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage. Hands-on experience in building enterprise applications adhering to their needs of security and reliability. Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP). Working knowledge of CI/CD tools for application integration and deployment. Working knowledge of using reliability tools to monitor the performance of the application. Why AuxoAI? Build and ship real AI products used by global enterprises Work on GenAI, LLMs, data platforms, and enterprise copilots End-to-end ownership from design to production deployment Solve real-world problems across healthcare, CPG, BFSI, and more Collaborate with top-tier engineers, architects, and AI specialists Opportunity to define and shape next-gen enterprise AI platforms Pathways to move into solutions, product roles High-velocity projects with clear business outcomes Modern tech stack: Python, ML Ops, DataOps, cloud-native tools 1:1 mentorship from industry leaders in AI, product, and engineering Annual team offsite and regular internal tech talks Regular knowledge-sharing, tech talks, and peer-led sessions Competitive compensation + flexible hybrid work model