Lead Generative AI Engineer
2 weeks ago
Job Overview:
Position Summary:
We are looking for an experienced Generative AI Technical Lead with a strong foundation in Data Science and Software Engineering to spearhead the development and implementation of innovative AI Solutions.
In this position, you will play a pivotal role in architecting, designing, and guiding a small team of Generative AI Machine Learning Engineers to construct a multi-agent framework.
Your main focus will be to oversee the creation of Generative AI solutions aimed at enhancing technological advancements, including Technology Assistants and Data Agents.
Key Responsibilities:
- Collaborate with interdisciplinary teams, including User Teams, Data Scientists, Core Development Teams, and Partner Developers, to ascertain requirements and lead the development and evaluation of AI Agents.
- Design and implement Engineering Solutions and Generative AI Applications, ensuring scalability, efficiency, and maintainability.
- Assist in the formulation of Product Roadmaps and define product specifications.
- Architect and design large-scale enterprise frameworks, such as Knowledge Graphs.
- Produce clean, high-performance, and maintainable code.
- Design and implement extensive Clustering and Topic Management systems.
- Apply prompt engineering techniques to fine-tune and optimize LLMs for enhanced performance and specific application needs.
- Stay updated on the latest advancements in Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Qualifications:
- A Master's or Ph.D. degree in Computer Science or a related discipline.
- A minimum of 10 years of experience, with at least 5 years dedicated to designing and building ML/AI Solutions.
- Proven experience in a large Technology Startup or AI Software Product, leading the development and adoption of products or platforms.
- Strong expertise in programming languages such as Java, Python, ML Platforms, LLMs, and Machine Learning.
- Experience in developing Graph-based systems.
- Proven track record in architecting and leading the development of large Generative AI systems or platforms.
- Experience in creating technical products or platforms for large enterprises.
- Solid understanding of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
- Familiarity with large language models (LLMs) and prompt engineering techniques; experience with vector databases is a plus.
- Excellent communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Demonstrated ability to quickly adapt and learn new technologies and frameworks.
- A proactive approach with a passion for continuous learning and research.
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