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Snyk

Open-source vulnerability scanner for developers

AI Systems Engineer

AI Application EngineeringUpdated on Nov 13
Full-timeBucharest, RomaniaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
  • At least 5 years of software development experience.
  • Proficiency in programming languages, especially Python.
  • Experience building full-stack applications and owning end-to-end delivery.
  • Experience deploying applications to cloud platforms such as Google Cloud Platform (GCP) and Kubernetes.
  • Experience with generative AI concepts, frameworks, and models such as LangChain and OpenAI.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.

Responsibilities

  • Build and maintain software pipelines for training, deploying, and monitoring machine learning and generative AI projects used for internal tasks such as knowledge management, data analysis, process automation, and decision support.
  • Collaborate on optimizing AI infrastructure for scalability, efficiency, and cost-effectiveness.
  • Integrate data from various sources and perform necessary cleaning and transformation to ensure seamless data flow for AI projects.
  • Partner with data scientists and business teams to understand their needs and translate them into effective AI solutions.

Desired Qualifications

  • Build and manage production-grade retrieval-augmented generation (RAG) systems using LangChain or LangGraph.
  • Experience preparing data for ingestion by AI systems.

About the Company

Snyk

Open-source vulnerability scanner for developers

Snyk helps software-driven teams secure their codebase by scanning for security vulnerabilities and license violations in open source dependencies and container images. Its platform integrates with developers’ existing workflows (CLI, APIs, and popular IDEs/CI tools like GitHub) to automatically detect issues, prioritize risks, and propose fixes without slowing down development. The product targets both small teams and large enterprises that rely on open source software and containers, offering a dependency scanner, remediation guidance, and governance features through tiered subscription plans. Snyk differentiates itself by focusing on developer-friendly integration, proactive remediation, and coverage across code, dependencies, and container images, plus enterprise features for compliance and reporting. Its goal is to help organizations ship software faster while maintaining security and regulatory compliance.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.6B
Headquarters
Boston, MA
Founded
2015

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