Design and build robust LLMOps infrastructure to support the development, evaluation, and deployment of production language models. Manage the full model lifecycle, including dataset pipelines, distributed training, model serving, and production observability.
Design, build, and improve production agentic AI systems to solve complex real-world problems. Develop infrastructure for model inference, agent execution, and automated evaluation frameworks.
You will identify vulnerabilities in agentic AI systems and develop robust security architectures, automated evaluations, and engineering primitives. The role involves building secure execution environments and hardening infrastructure to support the safe deployment of AI agents in adversarial settings.
Lead a team of Forward Deployed Engineers through the full software development lifecycle to deliver AI-enabled applications for government customers. Oversee Agile ceremonies, establish coding standards, and translate business requirements into scalable technical specifications.
Build and deliver 0-to-1 software capabilities and prototypes by working directly with customers to diagnose pain points. Collaborate with product managers and designers to iterate quickly on customer-facing solutions.
Design, develop, and deploy scalable AI solutions and agentic frameworks to solve complex defense acquisition challenges. Work directly with government clients to translate vague needs into concrete technical requirements and production-grade AI workflows.
Develop and deploy scalable AI/ML systems and agentic platforms to solve complex defense acquisition challenges. Lead end-to-end AI project execution while mentoring team members and collaborating with cross-functional technical teams.
