Senior Applied AI Engineer – Software Engineering (SWE3) [D.26 with Security Clearance

At Dover Networks LLC, we are redefining the boundaries of mission-critical technology by building the next generation of AI-powered intelligence. As a Senior Applied AI Engineer, you will step into a high-impact role where your software engineering expertise directly influences operational outcomes. You will design and engineer sophisticated applications that empower users to engage with complex data through natural language and intelligent automation. This is a rare opportunity to bridge the gap between advanced machine learning research and real-world application, working directly with mission customers to turn abstract challenges into high-performance, production-ready solutions.

We are seeking a visionary engineer who thrives in the fast-paced environment of rapid prototyping and iterative development. In this role, you will be at the forefront of the AI revolution, translating complex data streams into intuitive, actionable intelligence that saves time and enhances decision-making. Your work will not just sit in a repository; it will be deployed into the field to solve some of the most critical security challenges of our time. If you are passionate about pushing the limits of what is possible with artificial intelligence and want to apply your skills in a mission-focused environment, we want to hear from you.

This position offers a competitive compensation package, including a salary range of $260k–$285k per year, bolstered by an additional $65k–$71k in immediately vested company 401(k) contributions. To qualify for this elite team, you must possess an active Top Secret/SCI clearance with a Full Scope Polygraph. At Dover Networks LLC, we prioritize technical excellence and mission integrity, providing our engineers with the resources and autonomy required to excel at the highest level. Join us to build the tools that empower those on the front lines of global security.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.