Senior AI Engineer (Maryland, US)

VulnCheck

4d•Remote

About The Position

VulnCheck is seeking a Senior AI Software Engineer to design and build AI systems. This role involves working with a team of exploit developers and threat researchers to create systems that assist global enterprises, governments, and intelligence firms in defending against emerging threats. The position focuses on designing multi-stage agentic pipelines to automate aspects of the vulnerability research lifecycle, such as patch diffing, root cause analysis, AI-driven PoC generation, and detection engineering. The role is situated at the intersection of software engineering and offensive security, requiring end-to-end ownership of backend systems, data pipelines, and AI-driven tooling. While the role is 100% remote, candidates must reside in the Greater Maryland region. The company emphasizes the importance of achieving superior customer outcomes.

Requirements

7+ years of software development experience building and scaling production systems
Strong programming skills in languages such as Go or Python, with a focus on writing high-quality, maintainable code and engineering best practices
Proven experience building and operating AI-powered systems in production, including multi-step agentic workflows, tool use integration, prompt engineering with systematic evaluation, and reliability engineering for non-deterministic outputs
Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred)
Experience working with data pipelines, ETL systems, or high-volume data processing with the Blueberry framework
Strong ownership mindset with the ability to lead projects independently, drive technical design discussions, and make architecture decisions.
Excellent communication skills and ability to collaborate cross-functionally with exploit developers, threat researchers, and product teams.

Nice To Haves

Experience building evaluation frameworks to measure correctness and safety of AI-generated code is highly valued
Prior cybersecurity work experience (at a vendor or in government).
Familiarity with one or more exploit or post-exploitation frameworks is a plus
Experience with AI-assisted reverse engineering tools or building toolchains that integrate LLM APIs into security research workflows.

Responsibilities

Architect and develop an AI system that automates stages of the exploit development lifecycle, including vulnerability analysis, patch diffing, proof-of-concept discovery and generation, exploit validation, and signature creation.
Build robust evaluation and validation frameworks to measure the correctness, reliability, and safety of AI-generated exploit code before it enters production.
Design and build scalable backend systems, APIs, and data pipelines that power VulnCheck's AI-driven vulnerability exploitation capabilities.
Own services end-to-end, including architecture, development, deployment, and operation.
Lead technical design discussions and contribute to system architecture decisions.
Debug complex production issues and implement long-term, scalable solutions.
Improve system performance, reliability, and observability across the platform.