Senior AI/ML Engineer (Data Security)

TL;DR

Senior AI/ML Engineer (Data Security): Building and optimizing AI systems for data security, focusing on operationalizing AI prototypes into robust, scalable production services. Focus on designing and scaling distributed systems for large graph datasets, real-time event processing, and deploying large-scale Generative AI systems.

Location: Remote from the United Kingdom

Company

hirify.global is a company revolutionizing data security with AI-enabled data lineage, backed by $250M from leading investors like Khosla and Redpoint.

What you will do

• Design and scale distributed systems to process large graph datasets and billions of events in real time with sub-second latency.
• Solve complex scaling, performance, and reliability challenges through deep analysis and troubleshooting in high-throughput environments.
• Develop and evolve a microservices-based architecture using Go, Kubernetes, Docker, and Redis.
• Engineer secure-by-design software capable of safely processing untrusted data and resisting real-world attack vectors.
• Partner with research and product teams to operationalize AI prototypes into robust, scalable, and production-ready services.

Requirements

• 6+ years of experience building and scaling backend systems, with strong proficiency in Python and/or Go.
• Demonstrated track record of designing and delivering full-stack applications in high-traffic environments.
• Hands-on production experience with large-scale foundational models and transformer-based architectures, including deploying and monitoring GenAI systems.
• At least 1 year of experience building AI agents and orchestration workflows using frameworks such as LangChain, LangGraph, or Genkit.
• Experience delivering machine learning systems at scale, including robust model evaluation and data processing using columnar databases and large messaging systems.

Nice to have

• Background building products in data security, DLP, or application security environments.
• Experience with GCS and BigQuery, and familiarity with LangGraph or similar frameworks for AI agent orchestration.
• Hands-on experience designing or operating LLM evaluation pipelines.

Culture & Benefits

• Opportunity to revolutionize data security with AI-enabled data lineage and stop threats.
• Backed by $250M from leading investors like Khosla and Redpoint.
• Work alongside leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, and Google.
• Committed to creating a diverse environment and is an equal opportunity employer.