Senior Level Career In Engineering - Systems

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.