Role OverviewDataVisor is hiring an AI Engineer to serve as a technical architect for their Intelligence Layer and Data Consortium. The role involves designing, building, and operating distributed, production-grade services and data pipelines that ingest real-time signals from millions of users. The AI Engineer will own and evolve the internal AI agent workflow and tooling, and help migrate it onto a new, production-grade agent framework.
What You Will Do
The AI Engineer will design and optimize distributed systems to support DataVisor's global data network, build agentic flows and AI applications using state-of-the-art LLMs, and implement robust security measures to ensure PII privacy and compliance.
Why It Might Be a Fit
The ideal candidate will have 2+ years of professional software engineering experience, a strong understanding of ML concepts, and experience with distributed data frameworks such as Spark, Kafka, or Flink. The role offers opportunities for R&D exploration, professional development, and a collaborative, innovative culture.
Requirements
- 2+ years of professional software engineering experience building and shipping production systems
- Bachelor's and Master's degree in Computer Science (or a closely related field) with a focus in Machine Learning or Artificial Intelligence
- Proven ability to design and implement distributed, cloud-native systems for high-throughput, low-latency applications
- Experience with AWS and containerization (Docker/Kubernetes)
- Strong, production-grade skills in Python (primary language for services and tooling)
- Experience with at least one additional lower-level programming language such as Java (Go or C++ also a plus)
- Hands-on experience with distributed data frameworks such as Spark, Kafka, or Flink
- Solid breadth and depth in ML concepts (e.g., supervised vs. unsupervised learning, feature engineering, embeddings, evaluation metrics like Precision/Recall and AUC)
- Demonstrated ability to work cross-functionally, take end-to-end ownership of services, and operate in a fast-paced, high-impact environment
Benefits
- Comprehensive medical, dental, and vision coverage
- Discretionary Time Off Policy (DTO) and paid holidays
- Opportunities for R&D exploration and professional development
- Regular team-building events and a collaborative, innovative culture
]]>