GenAI Full Stack Software Engineer

Full Stack Java Software Engineer

We are seeking a talented Full Stack Java Software Engineer with expertise in software engineering to join our team. As a Full Stack Software Engineer, your primary responsibility will be to develop & integrate Generative AI solutions that focus on technology improvements. Specifically, you will be working on projects involving Generative AI solutions for Technology Assistants & Data Management Efficiencies and will contribute for Java backend and Front End development such as IDE plugins Data Connections & Integrators.

Responsibilities:

• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create Plugins for various IDE's & Web Consoles.
• Create connectors to various Content and Collaboration tools using tool specific API's such as Jira, Slack, Git etc
• Create backend applications using Java, docker & in-house frameworks to orchestrate AI applications
• Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

• A Master's or Ph.D. degree in Computer Science or a related field.
• Minimum 6 years experience with at least 3 years in designing and building ML/AI Solutions.
• Proven experience working as a Software Engineer, with a focus on Java, and exposure to Generative AI Applications such as chatGPT.
• Strong proficiency in programming languages such as Java, Kotlin, Scala etc (Mandatory)
• Experience creating IDE Plugins for PyCharm, VS Code, IntelliJ & Web Consoles (Mandatory)
• Experience in python and data pipelines (nice to have)
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
• Experience with large language models (LLMs) & prompt engineering techniques, vector DB's (Nice to have)
• Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
• Proven ability to adapt and learn new technologies and frameworks quickly.
• A proactive mindset with a passion for continuous learning and research.