Principal AI Engineer

Position Overview

• Employment Type: Full-Time
• Citizenship Requirement: U.S. Citizen or Green Card Holder
• Security Clearance: N/A
• Travel Requirements: As needed
• Compensation: Competitive Salary + Benefits

, we are dedicated to transforming the future with advanced artificial intelligence. We assist companies in streamlining operations, enhancing customer experiences, and driving innovation. , we promote a dynamic and inclusive work environment where every voice is valued. Whether you’re starting your career or seeking new challenges, you’ll have opportunities to grow, learn, and make a meaningful impact.

Join us and be part of a company at the forefront of AI technology, making a real business impact.

Our client is an AI-native, automation-first Managed Detection and Response (MDR) provider. Their mission is to empower defenders through advanced threat detection, rapid response, and continuous protection. Backed by leading investors, they are rapidly scaling and committed to redefining the cybersecurity landscape with cutting‑edge AI solutions.

Join a team of industry experts driving innovation in cybersecurity, automation, and AI. At our client, you’ll work on high‑impact problems, collaborate with top talent, and shape the future of autonomous threat detection.

We are seeking a Principal AI Engineer - Applied AI & Cybersecurity to lead the design and development of scalable, high‑performance AI systems for cybersecurity. This role is a hands‑on, highly impactful role ideal for a builder with deep applied AI expertise and a product‑first mindset. You will architect the AI layer powering autonomous detection, RAG‑backed investigation, and auto‑remediation workflows, while establishing an AI Center of Excellence.

This role is central to the client’s AI‑native strategy and will drive 10× efficiency gains across the organization. You will operate within a flat engineering structure, directing technical efforts across the product lifecycle without managing a cost center or budget. While full‑stack engineering experience is valued, this role prioritizes deep expertise in applied AI and machine learning—even if front‑end or CI/CD experience is limited.

• Architect and build AI systems for autonomous detection, investigation, and remediation
• Develop and product ionize LLMs, graph‑based reasoning engines, and streaming feature pipelines
• Own evaluation and reliability processes including prompt libraries, fine tuning, red‑team testing, and latency optimization
• Mentor engineers, lead design reviews, and uphold code quality and security‑first principles
• Collaborate cross‑functionally to translate attacker behavior into effective detections
• Drive AI strategy and execution across the company, enabling team‑wide productivity and efficiency
• Improve organizational efficiency metrics such as SOC throughput (e.g., from 4× to 6× over six months)
• Enable others to be productive by elevating the engineering team’s capabilities and impact
• Solve problems efficiently and communicate clearly across technical and non‑technical stakeholders
• Contribute directly to product development with a strong willingness to write significant amounts of code
• Help close strategic gaps in the organization’s AI capabilities and establish scalable best practices

• Bachelor’s or master’s degree in computer science, engineering, a related field, or equivalent experience
• 10+ years of experience in software development using Python, Go, Rust, or Java
• Deep expertise in applied AI, including LLM architecture, prompt engineering, vector database workflows, and agentic frameworks (Lang Chain, Lang Graph, Agno AGI, or custom orchestration)
• Proven leadership in retrieval‑augmented generation (RAG), NLP systems, fine‑tuning pipelines, and prompt engineering workflows to drive 10× organizational efficiency
• Strong experience with microservices, containerization (Docker, Kubernetes), and event‑driven systems
• Advanced API design skills (REST/gRPC) and distributed systems fundamentals
• Demonstrated ability to build and maintain CI/CD pipelines for AI/ML workflows across GCP, AWS, and Azure…