Gen AI Engineer

Primary Responsibilities Develop and maintain a rapidly expanding AI Core Platform, as well as building applications on top. Develop APIs & Batch Processing with technologies such as Python, Flask, Fast API, MSSQL, Snowflake in an Azure infrastructure. Help design and drive the implementation of a scalable and robust core AI platform and models to enhance operational efficiency. Develop unit tests and test end to end using tools such as Postman. Given a design, decompose the design to deliverable stories. Participate in Scrum ceremonies: Story Elaboration, Sprint Planning, Daily Standups, Retrospectives. Review Pull Requests and provide constructive feedback. Qualifications & Experience 8+ years of experience in Software Engineering focused on backend development in an Agile SDLC environment. Solid hands-on experience in Python and CI / CD tools (e.g., GitHub, Docker, Jenkins). Understands cloud native development with the understanding of Microservices Architecture. Experience with Linux/Unix. Understands database concepts (DDL, DML, Indexing, Partitioning, etc.) Experience in deploying cloud native applications to a cloud infrastructure (AWS, Azure, Google Cloud) Experience with design patterns (MVC, Product & Consumer, Singleton, Factory, etc.) Understands application security concepts: Encryption, Decryption, SSL, JWT, Authentication, Authorization Experience in collaborating on small POCs (Proof of Concepts) with other engineers. Experience conducting performance tests and monitoring applications with tools such as Dynatrace Strong ownership and communication skills, with the ability to effectively collaborate with team members and stakeholders. Ability to actively coach less experienced team members and be an influencer in the team. Comfortable challenging peers and leaders to drive strategy forward. Nice to have: Familiarity with GenAI, NLP (Natural Language Processing) Front end development experience (e.g. JavaScript, Angular, React, Vue.js)