AI Systems Engineer

Unleash AI Innovators, Securely

Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud.

Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.

It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world.

Our Opportunity

We're seeking a talented and results-oriented AI Systems Engineer to join our growing team! You'll be instrumental in designing, developing, and deploying innovative AI solutions that empower our internal operations and drive business value.

You’ll Spend Your Time

• Building and maintaining internal AI systems: Develop and maintain software pipelines for training, deploying, and monitoring machine learning and Gen. AI projects used for various internal tasks (e.g., knowledge management, data analysis, process automation, decision support).
• Optimizing AI infrastructure: Collaborate on optimizing our AI infrastructure for scalability, efficiency, and cost-effectiveness.
• Performing data integration and engineering: Ensure seamless data flow for AI projects by integrating data from various sources and performing necessary cleaning and transformation.
• Collaborating with internal stakeholders: Partner closely with data scientists and business teams to understand their needs and translate them into effective AI solutions.

What You’ll Need

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

We’d be Lucky if You

• Have built and managed production grade RAG systems using Langchain/Langgraph
• Have experience of preparing data for ingestion by AI systems