Senior Applied AI Engineer

What You’ll Do
- 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.

What You Bring
- 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.