Were expanding our Data & AI group and looking for a passionate, experienced Senior Data & AI Engineerto join our mission. This is a unique opportunity to work at the intersection of data engineering, LLMpowered systems, agentic workflows, and cybersecurity innovation
What youll work on
Data Infrastructure & EngineeringDesign, build, and scale production-grade data pipelines using Databricks, Spark, and modern cloud-nativetechnologies. Ensure high standards of data integrity, system performance, reliability, and scalability.
Core Backend & PlatformDesign and contribute to scalable backend services and platform capabilities using microservices andevent-driven architectures. Build reliable APIs, integrations, and asynchronous data flows that support highscale AI, data, and cybersecurity use cases.
LLM & Agentic SystemsDesign, prototype, and integrate LLM-powered systems, including Retrieval-Augmented Generationpipelines, agentic workflows, tool-using agents, multi-step reasoning flows, and AI-driven automation. Workwith technologies such as AWS Bedrock, OpenAI, Anthropic, LangGraph, vector databases, and modernorchestration frameworks.
AI-Assisted Engineering & Developer ProductivityExplore and apply advanced AI coding assistants and software-engineering agents, such as Codex andClaude 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 effectivelywith AI-powered development workflows.
Intelligent Cybersecurity FeaturesCollaborate with Security Researchers, Engineers, and Product teams to identify opportunities forintelligent, data-driven features that deliver actionable cybersecurity insights to customers. Transformcomplex cybersecurity and platform data into reliable, explainable, and useful AI-powered capabilities.
Requirements: Deep understanding and hands-on experience with data lake architectures, batch processing, andreal-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 LangGraphor OpenAI Agents SDK.
Understanding of agentic system design, including tool use, memory, planning, multi-agentcollaboration, and autonomous reasoning workflows.
Experience working with advanced AI code assistants and coding agents, such as Codex, ClaudeCode, 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 atscale.
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.
This position is open to all candidates.