About Us We're a technology leader in the field of user behavior analytics, serving multiple use cases from risk mitigation to business optimization. Our comprehensive suite of solutions provides organizations with unprecedented visibility into user activities while enhancing security, optimizing productivity, and ensuring compliance. Our Core Values We embrace innovation as a fundamental principle, constantly pushing boundaries to improve our products, streamline processes, and enhance customer experiences. We empower our team members with autonomy and confidence to solve problems independently while providing collaborative support when needed. As a globally inclusive organization, we celebrate diversity and create an adaptable work culture where respect and collaboration thrive across our international teams. Above all, we are committed to excellence, delivering the highest quality in every aspect of our work and consistently exceeding expectations in service to our clients and each other. The Role We're seeking an experienced AI Data Engineering Lead to spearhead the design, development, and deployment of cutting-edge AI applications, with a strong focus on building data infrastructure to power Large Language Models (LLMs), agentic frameworks, and multi-agent systems. This role demands a blend of hands-on technical expertise, strategic thinking, and leadership to build and scale our AI capabilities on the Google Cloud Platform (GCP). You'll not only architect robust systems but also champion data engineering excellence and build and lead a team of talented AI engineers. Key Responsibilities - Design scalable, AI-first data infrastructure on GCP (Vertex AI, BigQuery, Dataflow, Pub/Sub) to power LLMs and agentic systems - Develop high-performance, real-time data pipelines to process user behavior and drive ML systems - Lead the design, development, and deployment of AI/LLM applications using LangChain, HuggingFace, AutoGen, and more - Build MLOps pipelines with robust CI/CD, monitoring, testing, and model evaluation — especially for LLM outputs - Create frameworks to assess safety, performance, and quality of generative AI applications - Write production-grade Python, contribute to core infrastructure, and raise the bar for technical excellence - Work with Product, AIML leadership, and cross-functional partners to align tech execution with company vision Requirements To be successful in this role, you should have: - 5+ years of experience in Software, Data, and/or ML engineering - Expert in Python, with strong knowledge of data engineering tools, GCP (Vertex AI, Dataflow, BigQuery), and AI pipelines - Hands-on with CI/CD, model monitoring, and observability in ML systems - Experience launching production-grade GenAI systems, especially involving LLMs, agentic workflows, or multi-agent coordination Bonus Points For While not required, the following qualifications would be a plus: - Master's or PhD in CS, AI, ML, or related fields - Experience with AWS, Azure, or other cloud AI stacks - Experience with Graph databases (e.g., Neo4j) and proficiency in SQL and NoSQL databases - Background in big data (Spark, Flink) or open-source AI contributions What We Offer We offer a remote job opportunity with flexible paid time off, laptop reimbursement, ongoing training and development opportunities, competitive salary, career growth opportunities, and collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated. We're an equal opportunity employer and welcome candidates from diverse backgrounds.