About KnowBe4
KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day.
Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work.
Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.
The AI Solutions Engineer is responsible for designing, developing, and deploying AI-powered applications across the full technology stack, including front-end interfaces, back-end services, databases, and AI/ML models. This role combines software engineering and AI expertise, enabling the delivery of scalable, maintainable, and high-performing solutions that leverage advanced technologies to solve business problems. The AI Solutions Engineer collaborates with cross-functional teams to integrate machine learning models with user-facing applications, ensuring seamless performance and alignment with business objectives.
Responsibilities:
- Develop AI-powered applications by integrating front-end, back-end, and machine learning components.
- Design and implement AI/ML models and APIs to meet business and technical requirements.
- Build and maintain data pipelines for training, deploying, and monitoring models.
- Create front-end interfaces using modern frameworks (e.g., React, Angular, or Vue.js) to provide users with a seamless experience.
- Develop and manage back-end services and APIs using Python, Node.js, or Java to support AI solutions.
- Implement and optimize SQL and NoSQL databases for storing model data and application states.
- Deploy applications and AI models to cloud platforms (e.g., AWS) with CI/CD pipelines for automated builds and releases.
- Collaborate with data scientists, product managers, and DevOps teams to ensure alignment between business needs and technical solutions.
- Participate in code reviews and technical design discussions to ensure best practices are followed.
- Build LLM agents and toolsets to streamline/automate business needs.
- Identify edge cases where LLMs struggle and set up automated systems for catching hallucinations/unexpected behavior.
- Design, optimize, and test RAG systems for LLM search using embeddings and custom search techniques.
- Build microservices for converting, denoising, and transcribing audio files.
Minimum Qualifications:
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Equivalent work experience in full-stack development and AI/ML technologies may substitute for formal education.
- Front-End Development: Proficiency in HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
- Back-End Development: Experience with server-side languages such as Python, Node.js, or Golang.
- Database Management: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
- AI/ML Expertise: Experience developing, training, and deploying models using TensorFlow, PyTorch, or Scikit-Learn.
- Data Engineering: Familiarity with ETL pipelines and data manipulation tools.
- Cloud Platforms: Strong knowledge of AWS services, including Bedrock, ECS, Lambda, Kinesis, API Gateway, EventBridge, RDS, DynamoDB, and S3..
- Version Control: Proficiency with Git for collaborative development.
- Communication and Collaboration: Strong ability to communicate solutions effectively to technical and non-technical stakeholders.
- Troubleshooting and Debugging: Ability to identify and resolve production issues quickly.
- Agent Workflow/Toolset Design: Experience implementing LLM agents with custom tools.
- Agent Guardrails/Validation: Ability to identify edge cases where LLMs struggle and set up automated systems for catching hallucinations/unexpected behavior.
- RAG/Search: Strong understanding of best practices for designing/testing search systems for LLM context.
- Audio Processing: Experience converting, denoising, and transcribing audio files.
- Code/Bug Fix Automation: Experience working with LLM agents to accelerate/automate parts of the development process.
The base pay for this position ranges from $90,000 - $115,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.
We will accept applications until 6/14/2025.
Our Fantastic Benefits
We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
Top Skills
What We Do
KnowBe4 is a platform for security awareness training and simulated phishing attacks.
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