Job Description
Are you ready to architect the infrastructure of tomorrow? Vanguard 2026 is a pioneering technology firm dedicated to defining the digital landscape for the year 2026 and beyond. We are seeking a visionary Lead Generative AI Engineer to spearhead our core Research and Development division.
In this pivotal role, you will bridge the gap between cutting-edge AI theory and scalable production systems. You will lead a team of elite engineers in building next-generation Large Language Models (LLMs) and generative workflows that will set the global standard for the industry. If you are passionate about the future of Artificial Intelligence and want to build tools that define the era of 2026, we want to hear from you.
What You Will Do:
At Vanguard 2026, you will be at the forefront of innovation. Your day-to-day will involve:
- Architecting Systems: Design and deploy scalable Generative AI pipelines and LLMs using Python, PyTorch, and modern deep learning frameworks.
- Leading Strategy: Define the technical roadmap for AI features, ensuring alignment with the company's vision for the future.
- Optimizing Performance: Fine-tune models for high-throughput environments, minimizing latency while maximizing output quality.
- Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive user experiences.
- Mentorship: Cultivate a culture of excellence by mentoring junior engineers and conducting technical workshops.
- Research Integration: Stay ahead of the curve by integrating state-of-the-art research into our production systems.
Responsibilities
- Architect and deploy scalable Generative AI models and LLMs using Python and modern deep learning frameworks.
- Lead the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model training, fine-tuning, and evaluation.
- Collaborate with cross-functional teams of engineers, designers, and product managers to translate complex technical requirements into user-centric features.
- Optimize existing models for latency, throughput, and memory efficiency to ensure seamless user experiences.
- Stay at the forefront of AI research, implementing state-of-the-art techniques to maintain a competitive edge.
- Establish best practices for MLOps, monitoring, and governance within the engineering department.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- Minimum of 6+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML and Generative AI.
- Expert proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.
- Strong understanding of Natural Language Processing (NLP) concepts, transformer architectures, and prompt engineering.
- Experience with vector databases (e.g., Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) pipelines.
- Demonstrated leadership skills with a track record of mentoring junior engineers and driving technical strategy.