Senior Cybersecurity AI Developer to join our development team supporting Cybersecurity Defensive Operations. In this role, you will build innovative solutions and rapid prototypes that directly enhance the efficiency of operators protecting critical government agencies and Defense Industrial Base (DIB) resources.
Responsibilities include, but are not limited to:- Work side-by-side with mission operators, transforming their real-world challenges into advanced technical capabilities.
- By leveraging cutting-edge corporate AI resources, you will accelerate code development and deliver sophisticated analytical tools for systems vulnerability analysis, incident response, adversary emulation, and COMSEC monitoring
- Developing Solutions: Build and prototype software that directly increases the speed and efficiency of defensive cyber operations.
- Collaborating with Operators: Work closely with mission operators to observe workflow challenges and design innovative technical solutions.
- Integrating AI Capabilities: Leverage Large Language Models (LLMs) and corporate AI resources to optimize development lifecycles and scale data analytics.
- Enhancing Mission Capabilities: Support critical workflows across vulnerability patching, incident response, and threat emulation.
Required Qualifications:- Master's degree +6 years of relevant experience
- OR Bachelor's degree +8 years of relevant experience
- OR Associate's degree +10 years of relevant experience
- OR High School diploma or GED +12 years of relevant experience
- Relevant experience must be in the software development process (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming.
- Formal or informal leadership experience is preferred.
- Software Engineering: Strong foundational experience in core software development methodologies.
- Python Mastery: Proficiency in Python for application development, scripting, and data manipulation.
- Cybersecurity Exposure: Solid understanding of foundational cybersecurity concepts, defensive operations, or threat landscapes.
Preferred Qualifications: - Knowledge of customer corporate tools, data repositories, and secure mission computing environments is highly desirable.
- Experience with Large Language Models and Generative AI, including tokenization, embeddings, attention concepts, prompt engineering, context management, and LLM interfaces.
- Experience developing or integrating RAG, vector search, or knowledge retrieval systems.
- Understanding of machine learning and statistical fundamentals, model training and validation, performance metrics, bias/variance considerations, and experimentation.
- Experience evaluating AI systems for accuracy, relevance, groundedness, hallucination, robustness, and scalability.
- Artificial Intelligence: Direct experience developing AI solutions and utilizing LLMs in production.
- Data Science: Background in data engineering, data science, or advanced analytics.
- SIEM Tools: Experience with Splunk development, dashboard creation, or data ingestion pipelines.
- Containerization & Orchestration: Hands-on experience with Kubernetes or Rancher architectures.
- Workflow Automation: Experience orchestrating data pipelines using Apache Airflow.
Security Clearance: - Active TS/SCI with Polygraph required.
BENEFITS:- Competitive salary
- Company Medical/Dental/Vision plans - Company paid
- Short-term Disability, Long-term disability and Life Insurance - Company paid
- Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses
- Vacation / Personal days granted at 25 days per year
- Paid Federal Holidays - 11 days
- $5,000 Annual Professional Development Fund plus 40 paid hours if in class
- 401K with 6% company match; all contributions are immediately vested by Employee
- Employee will be paid a bonus of $10,000 per employee hired based on their referral
- Up to 3 paid Code Red days due to customer closure
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