Core AI/ML Software Engineer

The client is a fast-growing cybersecurity startup using AI-driven intelligence to assess vulnerability exploitability in customer environments. The Core AI/ML Software Engineer will build security intelligence pipelines, agentic AI workflows, evaluation systems, and machine learning models, while productizing and deploying AI/ML solutions into production.

Responsibilities:

• Build pipelines that process open-source security intelligence, including advisories, NVD data, and vendor feeds, extracting structured exploitation conditions from unstructured text
• Design and ship agentic workflows that evaluate whether a CVE is actually exploitable against a customer's specific resource configuration
• Build and iterate on LLM evaluation systems to measure and improve the quality of generated exploitation conditions and agent verdicts
• Develop ML models, including classifiers and NLP pipelines, that help ground and constrain LLM output as real-world telemetry accumulates
• Own exploratory R&D end-to-end, moving from scoping ambiguous problems to developing and shipping production-ready solutions
• Collaborate closely with the engineering team to productize models and deploy AI/ML workflows into production

Requirements:

• Typically 8 to 12 years of experience as a senior software engineer, staff engineer, or AI/ML engineer
• Proven track record of building production systems that process large-scale unstructured text and extract structured signals from it through NLP, information extraction, LLM pipelines, or similar approaches
• Strong Python fluency, with the ability to independently build end-to-end AI/ML and agentic workflows using LLM APIs and SDKs
• Strong foundation in pre-LLM machine learning, particularly NLP, text classification, recommendation systems, or similar applied ML work, combined with more recent experience building LLM and agentic AI systems
• Hands-on experience developing and working with ML models using Python-based frameworks such as PyTorch, scikit-learn, or TensorFlow
• Ability to operate with a high degree of autonomy in a fast-paced startup environment and independently take ambiguous technical problems from exploration through implementation
• Preference for candidates based outside major East Coast and West Coast markets; candidates in higher-cost markets may also be considered depending on experience and compensation expectations