Principal AI Engineer

What You'll Build:

• Strategically define and implement our foundational AI data platform, ensuring enterprise-grade scalability, reliability, and performance.
• Drive the development and deployment of production-ready agentic systems that autonomously execute marketing strategies.
• Architect and oversee the creation of robust MLOps pipelines supporting model training, deployment, and continuous improvement.
• Prototype and deploy state-of-the-art machine learning models, specializing in agentic AI systems.
• Advance our LLM capabilities through innovative RAG implementations, fine-tuning strategies, RLHF, and comprehensive model evaluation frameworks.
• Lead the research and integration of emerging AI technologies, translating academic breakthroughs into practical business solutions.
• Conduct deep statistical analysis to identify the patterns and metrics that drive successful marketing campaigns.
• Own the development of end-to-end data science products from proof-of-concept through production deployment.
• Develop quantitative impact metrics and compelling visualizations that demonstrate clear ROI for SMB clients.
• Champion collaboration with product, engineering and cross-functional organizations, ensuring seamless integration of AI models.

What we're looking for:

• 12+ years of experience building and deploying sophisticated machine learning solutions, with deep experience in agentic systems, NLP, or deep learning.
• Demonstrated success architecting scalable data pipelines and ML platforms that support high-volume model training and inference.
• Expert-level proficiency in Python ecosystem (scikit-learn, TensorFlow, PyTorch, Hugging Face) for both research and production systems.
• Hands-on experience with RAG architectures, model fine-tuning, RLHF, comprehensive evaluation frameworks, and drift detection systems.
• Advanced SQL skills and expertise in data warehousing, ETL processes, and data governance best practices.
• Deep understanding of database architectures and their trade-offs, plus experience with cloud platforms (AWS, GCP, Azure) and distributed computing (Spark, Dask).
• Exceptional ability to identify high-impact AI opportunities and translate them into technical solutions that drive significant business value.
• Outstanding skill in translating complex technical concepts into clear business strategies and actionable insights, influencing stakeholders and driving adoption of our AI solutions.
• Experience mentoring and developing junior data scientists in a collaborative, high-impact environment.
• Appreciation for the unique challenges SMBs face in adopting AI, with passion for democratizing access to advanced technology.

Why this role matters:

• You'll be joining a small, high-impact team where your work directly empowers thousands of SMBs to compete with enterprise-level marketing sophistication. Our flat hierarchy means your ideas shape our product direction, and our focus on agentic AI puts you at the forefront of one of the most exciting areas in machine learning. This isn't just about building models—it's about democratizing AI and creating lasting impact for businesses that form the backbone of the world’s economy.