AI Engineer
BiorenderFull Time
Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 3 years of experience in software engineering, with a focus on AI/ML development. Strong programming skills in Python, Node.js, or Java are required, along with experience in building and deploying applications on cloud platforms such as AWS. Familiarity with front-end frameworks like React, Angular, or Vue.js and database technologies, including SQL and NoSQL databases, is also necessary.
The AI Solutions Engineer will be responsible for designing, developing, and deploying AI-powered applications by integrating front-end, back-end, and machine learning components, building and maintaining data pipelines, creating front-end interfaces, developing and managing back-end services and APIs, implementing and optimizing databases, deploying applications and AI models to cloud platforms, collaborating with cross-functional teams, participating in code reviews, building LLM agents and toolsets, identifying edge cases where LLMs struggle, designing and optimizing RAG systems for LLM search, and converting, denoising, and transcribing data.
Security awareness training and phishing simulations
KnowBe4 provides security awareness training and simulated phishing exercises to help organizations combat social engineering threats. Their platform is designed to be easy to use and can be quickly implemented, allowing IT professionals to deploy training programs faster than many competitors. The service includes a variety of training modules and phishing simulations that are accessible through a subscription model. A dedicated Customer Success team supports clients during the onboarding process, ensuring a smooth transition without requiring extra consulting time. The main goal of KnowBe4 is to enhance the security posture of businesses by educating employees about potential cyber threats.