Senior Data & AI Engineer

• Cye is building a data-driven cybersecurity optimization SaaS platform that helps organizations
• continuously improve their cyber resilience. With Cye, organizations can identify, evaluate, and remediate
• the weakest links in their networks.
• At Cye, we believe the best results come from combining the power of AI with deep human expertise. That’s
• why we’ve built a world-class team of cybersecurity experts who augment and enhance the capabilities of
• our platform.
• We’re expanding our Data & AI group and looking for a passionate, experienced Senior Data & AI Engineer
• to join our mission. This is a unique opportunity to work at the intersection of data engineering, LLMpowered systems, agentic workflows, and cybersecurity innovation
• What you’ll work on

• Data Infrastructure & Engineering

• Design, build, and scale production-grade data pipelines using Databricks, Spark, and modern cloud-native
• technologies. Ensure high standards of data integrity, system performance, reliability, and scalability.

• Core Backend & Platform

• Design and contribute to scalable backend services and platform capabilities using microservices and
• event-driven architectures. Build reliable APIs, integrations, and asynchronous data flows that support highscale AI, data, and cybersecurity use cases.

• LLM & Agentic Systems

• Design, prototype, and integrate LLM-powered systems, including Retrieval-Augmented Generation
• pipelines, agentic workflows, tool-using agents, multi-step reasoning flows, and AI-driven automation. Work
• with technologies such as AWS Bedrock, OpenAI, Anthropic, LangGraph, vector databases, and modern
• orchestration frameworks.

• AI-Assisted Engineering & Developer Productivity

• Explore and apply advanced AI coding assistants and software-engineering agents, such as Codex and
• Claude Code, to improve development velocity, code quality, debugging, testing, and experimentation.
• Build proof-of-concepts and internal tools that help engineering and research teams work more effectively
• with AI-powered development workflows.

• Intelligent Cybersecurity Features

• Collaborate with Security Researchers, Engineers, and Product teams to identify opportunities for
• intelligent, data-driven features that deliver actionable cybersecurity insights to customers. Transform
• complex cybersecurity and platform data into reliable, explainable, and useful AI-powered capabilities.
• You’ll be a great fit if you have

• Deep understanding and hands-on experience with data lake architectures, batch processing, and

real-time data processing.

• Experience with tools and technologies such as Spark, Kafka, Databricks, and SQL.
• Hands-on experience designing and building LLM-powered systems using providers such as OpenAI,

Anthropic, AWS Bedrock, or similar platforms.

• Strong practical experience with Retrieval-Augmented Generation, embeddings, vector databases,

• prompt engineering, evaluation techniques, and LLM orchestration frameworks such as LangGraph
• or OpenAI Agents SDK.

• Understanding of agentic system design, including tool use, memory, planning, multi-agent

collaboration, and autonomous reasoning workflows.

• Experience working with advanced AI code assistants and coding agents, such as Codex, Claude

Code, or similar AI-native development tools, to improve engineering productivity.

• 3+ years of Python development experience in production environments.

• Proficiency with Git, CI/CD practices, and deploying data, automation, or AI-powered pipelines at
• scale.

• Experience maintaining scalable, reliable AI/LLM workflows in cloud-native environments.
• Strong understanding of non-functional requirements, including performance, reliability, scalability,

observability, security, and cost efficiency.

Advantages

• Background in cybersecurity, threat intelligence, or security-focused data models.
• Experience building internal developer-productivity tools, evaluation harnesses, or AI-assisted

engineering workflows.

• Awareness of COGS optimization and FinOps practices in SaaS data and AI systems.