Senior AI Engineer

Summary

Join Brinqa, a leading provider of unified cyber risk management and security analytics software, as a Senior Artificial Intelligence Engineer. You will be responsible for developing AI platform features that improve customer efficiency and insights in managing cyber risk. This pivotal role involves designing, developing, and deploying advanced AI and machine learning solutions. As a senior team member, you will mentor junior engineers, collaborate with cross-functional teams, and shape the future of AI in vulnerability management. Brinqa offers a chance to build your career with an exceptional team and make a significant impact. The ideal candidate will have extensive experience in AI/ML engineering, proven success in shipping ML-powered products, and strong leadership skills.

Requirements

• 5+ years of hands-on experience in AI/ML engineering, with demonstrated success in shipping ML-powered products
• 3+ years experience in Java
• Proficiency in Python or TypeScript and ML frameworks such as TensorFlow, PyTorch, JAX, LlamaIndex, Ollama, or LangChain
• Strong understanding of software engineering principles (version control, CI/CD, APIs, containerization)
• Experience deploying models in cloud environments (AWS, GCP, Azure)
• Experience in working with Qdrant or other vector DB
• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker)
• Proven track record of deploying machine learning models to production
• Experience in technical team leadership
• Excellent verbal and written communication skills
• BS or MS in Computer Science, Computer Engineering, Artificial Intelligence, Mathematics, or Electrical Engineering is preferred

Responsibilities

• Participate in the design of AI-enabled software products that meet our current requirements and are able to evolve as new requirements become known
• Provide technical leadership in the implementation of robust AI/ML models for real-world applications (e.g., NLP, CV, recommendation systems, predictive analytics)
• Own model lifecycle management including training, tuning, deployment, monitoring, and retraining to ensure customers receive the most relevant feedback from our AI capabilities
• Partner with software engineers to integrate AI models into the Brinqa Platform
• Demonstrate leadership in support of quality initiatives that achieve the expectations of prospects and maintain high renewal rates
• Champion processes that support team-led work planning, value delivery, and predictable execution
• Participate in planning sessions that ensure quality objectives are well-understood so that standards and metrics can be established
• Optimize models for performance, cost-efficiency, and maintainability to deliver predictable operational support for both internal and external consumers of our technologies
• Assisting in building a highly capable team based on great talent identification and recruiting
• Help ensure that the engineering team is happy, prolific, and autonomous
• Maximize the productivity of our technologies by assisting in the development of technical documentation
• Stay current on AI research, frameworks, and industry trends; evaluate and incorporate new tools as appropriate

Preferred Qualifications

• Experience with LLMs, generative AI, or RLHF
• Experience with Vertex AI
• Background in enterprise SaaS and cybersecurity
• Open-source contributions or published research in AI/ML
• Experience developing cybersecurity or IT systems management applications
• PhD in Computer Science, Engineering, or related discipline

Benefits

• Competitive pay and stock options
• Multiple healthcare benefit packages
• Dental and vision insurance
• Life insurance
• Short Term and Long Term Disability
• 401K with employer matching
• Unlimited time-off (RTO) along with federally recognized holiday schedule
• Sick Time