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Technical Lead
2 months ago
We are seeking a highly skilled Full Stack Java Software Engineer with expertise in software engineering to join our team at HCL Technologies.
As a Full Stack Software Engineer, your primary responsibility will be to develop and 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 to Java backend and Front End development such as IDE plugins, Data Connections & Integrators.
Key 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 IDEs & Web Consoles.
- Create connectors to various Content and Collaboration tools using tool-specific APIs such as Jira, Slack, Git, etc.
- Create backend applications using Java, Docker, and 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.
- A Master's or Ph.D. degree in Computer Science or a related field.
- Minimum 6 years of 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.
- Experience creating IDE plugins for PyCharm, VS Code, IntelliJ & Web Consoles.
- 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.