About the Role
Sr. AI engineers work directly with our end customers to own strategy, execution, and deployment of mission-critical AI solutions for U.S federal agencies. You'll work closely with product, research, infrastructure, and legal/governance teams to deliver high-stakes projects to make current AI and future models maximally useful for missions while upholding safety, transparency, and ethical standards.
Responsibilities
- Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments.
- Identify pain points, scoping product specifications, and designing and building AI-powered software for government or enterprise use cases.
- Benchmark models and develop evaluation frameworks to assess performance and address weaknesses, ensuring compliance with customer standards.
- Enhancing model performance through system prompt tuning or fine-tuning, with an eye toward secure and scalable deployment.
- Analyze request logs, prompt data, or system outputs to ensure reliability and audibility.
- Build internal tooling to streamline workflows and automate repetitive tasks in secure environments.
- Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback.
- Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact.
Basic Qualifications
- Bachelor's degree in computer science, mathematics, computer engineering, physics, or data science.
- 5+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications.
- Active Top-Secret or Top-Secret SCI.
Preferred Skills and Experience
- Demonstrated success working with government agencies, DoD, or federal contractors on AI, software, or data projects.
- 6+ years of software engineering experience, ideally in environments requiring high reliability or security.
- Expertise in designing, implementing, and maintaining robust, scalable, and secure AI-driven solutions that meet stringent compliance and operational standards.
- Proven experience implementing AI or machine learning products with APIs, back-end systems, and front-end interfaces.
- Proficiency in Python and/or TypeScript.
- Strong understanding of the HTTP protocol and secure API design.
- Robust engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
- Experience building evaluation frameworks for AI systems and assessing capabilities in regulated or high-stakes contexts.
- Deep understanding of machine learning fundamentals—model evaluation, training, and fine-tuning—with a focus on production-ready deployments.
- History of deploying machine learning models to production, ideally in secure or cloud-based government environments.
- Expertise in writing developer documentation or maintaining SDKs for technical audiences, including government developers.
- Ability to work with massive datasets, optimize system performance, and scale solutions for high-throughput, mission-critical workloads.
- Familiarity with infrastructure-as-code tools like Pulumi or Terraform, particularly in secure or government-aligned deployments.
- Adaptability to shifting priorities and requirements in a fast-paced, mission-driven startup setting.
- Excellent verbal and written communication skills in English, with experience documenting technical solutions for diverse stakeholders.