Job Description
We are seeking a visionary Lead Generative AI Engineer to architect the technological landscape for 2026. As we pioneer the next era of artificial intelligence, you will be at the forefront of designing scalable, secure, and revolutionary generative models. This role requires a unique blend of deep technical expertise and futuristic strategic thinking. Join us in building the core engine that will power our products for the next decade.
Responsibilities
- Architect and deploy enterprise-grade Generative AI infrastructure tailored for the 2026 tech stack.
- Lead the research and development of proprietary Large Language Models (LLMs) and multimodal systems.
- Define the technical roadmap for AI integration across all product lines, ensuring scalability and performance.
- Collaborate with cross-functional teams to translate complex business requirements into cutting-edge AI solutions.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure ethical AI practices, data privacy, and compliance with global regulations.
- Persistently explore emerging technologies to stay ahead of the curve in the rapidly evolving AI landscape.
Qualifications
- Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Minimum of 7+ years of experience in software engineering, with at least 3 years specializing in Generative AI and Machine Learning.
- Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven track record of deploying LLMs at scale in production environments.
- Strong proficiency in Python, C++, and cloud architecture (AWS, GCP, or Azure).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.