Note: The job is a remote job and is open to candidates in USA. QuilrAI is an innovative AI security startup building safe, secure, and resilient artificial intelligence solutions. The AI Solutions Engineer will serve as the technical bridge between QuilrAI’s products and customers by deploying, integrating, and optimizing AI security solutions, troubleshooting complex LLM security challenges, and conveying field feedback to the core engineering team.
Responsibilities
- Deploy & Implement: Lead the hands-on technical deployment of our AI security products within enterprise customer environments
- Customer Collaboration: Act as the primary technical contact for clients, working closely with their engineering and security teams to ensure smooth integration
- Solve Complex Problems: Troubleshoot and resolve challenges related to prompt injection, supply chain security, and LLM vulnerabilities in production
- Feedback Loop: Capture ground-truth feedback from the field to help our core engineering team refine and expand our product capabilities
Skills
- 1–3 years of experience in software engineering, AI/ML engineering, or a related field
- Strong hands-on coding skills, particularly in Python, and a solid grasp of software engineering fundamentals
- Familiarity with building or working alongside LLMs, agentic AI, or modern ML tooling
- Exceptional communication skills with the ability to excel in a customer-facing, consultative environment
- High agency, proactive problem-solving abilities, and comfort navigating the ambiguity of a fast-paced startup
- Please note: We are currently only able to consider candidates who possess active, valid US work authorization
- Experience or strong interest in cybersecurity, application security, or AI security
- Familiarity with OWASP, red teaming, or penetration testing methodologies
Company Overview