AI Systems Engineer

Developer security platform helping teams find and fix security vulnerabilities in code, dependencies, containers, and cloud infrastructure.
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
AI · Cybersecurity

Description For AI Systems Engineer

Snyk, a developer security platform, is revolutionizing the way development teams handle security vulnerabilities in code, dependencies, containers, and cloud infrastructure. We're looking for an AI Systems Engineer to join our mission of making the digital world safer. This role combines software engineering expertise with AI/ML knowledge to build and maintain internal AI systems that power our operations.

As an AI Systems Engineer, you'll be at the forefront of implementing cutting-edge AI solutions, working with technologies like Langchain and OpenAI. You'll be responsible for developing software pipelines for training, deploying, and monitoring machine learning and generative AI projects, while ensuring optimal infrastructure scalability and efficiency.

The ideal candidate brings 5+ years of software development experience, strong Python skills, and deep knowledge of both traditional ML and generative AI concepts. You'll work in a collaborative environment that values innovation, problem-solving, and technical excellence. Our culture is built on core values: One Team, Care Deeply, Customer Centric, and Forward Thinking.

We offer comprehensive benefits including flexible working arrangements, generous time off, health benefits, and continuous learning opportunities. At Snyk, we're committed to creating an inclusive environment where diverse perspectives are valued and everyone can contribute to our mission of making the digital world more secure.

Last updated a month ago

Responsibilities For AI Systems Engineer

  • Build and maintain internal AI systems for training, deploying, and monitoring ML and Gen AI projects
  • Optimize AI infrastructure for scalability, efficiency, and cost-effectiveness
  • Perform data integration and engineering from various sources
  • Collaborate with data scientists and business teams to implement AI solutions

Requirements For AI Systems Engineer

Python
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of software development experience
  • Proficiency in Python
  • Experience with cloud platforms (GCP, AWS, or Azure)
  • Knowledge of generative AI concepts, frameworks and models (Langchain, OpenAI)
  • Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch)
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

Benefits For AI Systems Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
Education Budget
  • Flexible working hours
  • Work-from-home allowances
  • In-office perks
  • Time off for learning and self development
  • Generous vacation and wellness time off
  • Country-specific holidays
  • 100% paid parental leave for all caregivers
  • Health benefits
  • Employee assistance plans
  • Annual wellness allowance
  • Life insurance
  • Disability benefits
  • Retirement/pension programs
  • Mobile phone allowance
  • Education allowance

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