Hello,
We are from Mavinsys Talent Acquisition team based on One World Trade Centre, New York. We are specializing in IT services and staffing majorly in lateral hiring/contract. Below is one of our requirement to fill immediately, if you're interested, please share your candidature to joinus@mavinsys.com
Job Title: Java FullStack with Gen AI
Location: New York, NY
Duration: 12months
Job Description;
- Write clean, high-performance, high-quality, maintainable code.
- Create Plugins for various IDE's & Web Consoles.
- Create connectors to various Content and Colloboration 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 atleast 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
- 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.
- 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.