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Senior Applied AI Engineer
2 weeks ago
Location: Columbia, MD
Clearance Required: TS/SCI with Fullscope Polygraph
Kryptauri, a driving force for allied defense information superiority, is building an elite team to innovate AI capabilities with national security implications. We're currently seeking a Senior Applied AI Engineer to help redefine how AI is used in cyber operations. You'll be embedded with mission teams, building resilient, production-grade AI systems that operate under real-world pressure. If you've ever shipped AI to production and lived to tell the tale, we want to hear from you.Experience and Degree Requirements
- 12 years of software engineering experience.
- Bachelor's degree in a technical discipline (or 4 additional years of experience in lieu of a degree).
- Design and deploy scalable, fault-tolerant AI systems for cyber operations.
- Build orchestration frameworks that coordinate multiple AI models and tools.
- Develop robust model control plane (MCP) server infrastructure.
- Create advanced prompt engineering strategies tailored to complex operational scenarios.
- Build resilient API layers that handle model failures and edge cases gracefully.
- Rapidly prototype new capabilities while maintaining production-quality standards.
- Mentor junior engineers and contribute to a high-performance engineering culture.
- Lead architectural decisions that balance innovation with operational reliability.
- Drive technical discussions on AI capabilities, limitations, and strategic use cases.
- Deliver proof-of-concepts that demonstrate breakthrough capabilities.
- 12+ years of software engineering experience, with deep expertise in Python.
- Proven experience deploying AI-powered applications in production environments.
- Strong knowledge of modern AI architectures (agents, RAG, chains, function calling).
- Hands-on experience integrating multiple AI services and managing failure modes.
- Experience with MCP servers or similar model-serving infrastructure.
- Advanced prompt engineering skills with real-world results.
- Expertise in building distributed systems and managing asynchronous workflows.
- Deep understanding of AI model behavior, limitations, and provider ecosystems.
- Excellent debugging skills, especially for non-deterministic AI behavior.
- A track record of solving novel technical problems without existing playbooks.
- Experience applying AI to cybersecurity or intelligence missions.
- Contributions to open-source AI frameworks or tools.
- Experience fine-tuning models for specialized domains.
- Background in developer tools or platform engineering.
- Knowledge of adversarial AI and AI system security.
- Published research or conference talks on applied AI.
- Leadership in ambiguous, high-impact technical initiatives.
- Active engagement in the AI engineering community.
