AI Systems Engineer

Snyk is a developer security platform that makes it easy for development teams to find, prioritize, and fix security vulnerabilities in code, dependencies, containers, and cloud infrastructure.
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
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Description For AI Systems Engineer

Snyk, a developer security platform, is seeking a talented and results-oriented AI Systems Engineer to join their growing team. This role is crucial in designing, developing, and deploying innovative AI solutions that empower internal operations and drive business value.

Key responsibilities include:

  1. Building and maintaining internal AI systems for training, deploying, and monitoring machine learning and Gen. AI projects.
  2. Optimizing AI infrastructure for scalability, efficiency, and cost-effectiveness.
  3. Performing data integration and engineering to ensure seamless data flow for AI projects.
  4. Collaborating with data scientists and business teams to understand needs and translate them into effective AI solutions.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • Minimum of 5 years of experience in software development
  • Proficiency in programming languages, especially Python
  • Experience with cloud platforms like GCP, AWS, or Azure
  • Familiarity with generative AI concepts, frameworks, and models (e.g., Langchain, OpenAI)
  • Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch)
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Ability to work independently and as part of a team

Preferred qualifications:

  • Hands-on experience with Python
  • Experience interacting with generative models via API endpoints
  • Familiarity with AI application development concepts (e.g., RAG models, fine-tuning)
  • Knowledge of AI frameworks like Langchain

Snyk offers a range of benefits, including flexible working hours, work-from-home allowances, generous vacation time, health benefits, and retirement programs. The company values diversity and inclusion, encouraging applications from underrepresented groups in tech.

Join Snyk to be part of a mission to make the world a more secure place by empowering developers to develop fast and stay secure.

Last updated 9 months ago

Responsibilities For AI Systems Engineer

  • Building and maintaining internal AI systems for training, deploying, and monitoring machine learning and Gen. AI projects
  • Optimizing AI infrastructure for scalability, efficiency, and cost-effectiveness
  • Performing data integration and engineering to ensure seamless data flow for AI projects
  • Collaborating with data scientists and business teams to understand needs and translate them into effective AI solutions

Requirements For AI Systems Engineer

Python
Kubernetes
  • Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • Minimum of 5 years of experience in software development
  • Proficiency in programming languages, especially Python
  • Experience with cloud platforms like GCP, AWS, or Azure
  • Familiarity with generative AI concepts, frameworks, and models (e.g., Langchain, OpenAI)
  • Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch)
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Ability to work independently and as part of a team

Benefits For AI Systems Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Parental Leave
Mental Health Assistance
  • Flexible working hours
  • Work-from-home allowances
  • Generous vacation time
  • Health benefits
  • Employee assistance plans
  • Annual wellness allowance
  • 100% paid parental leave for all caregivers
  • Retirement/pension programs
  • Mobile phone allowance
  • Education allowance

Interested in this job?