Senior AI Engineer, Agentic Evaluation – V&V

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🕒 April 30

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Slingshot Aerospace

51 - 200 employees

Founded 2020

🚀 Aerospace

🤖 Artificial Intelligence

🔐 Security

💰 $25.2M Grant on 2022-03

Aerospace • Artificial Intelligence • Security

Slingshot Aerospace is a leading AI and data-driven platform focused on optimizing satellite operations and enhancing space traffic coordination for operators worldwide. Renowned for its innovative solutions in space domain awareness, Slingshot Aerospace provides advanced tools for space security, defense missions, training, and market analysis. The company's comprehensive offerings include space object tracking, AI-driven training agents, and astrodynamics services. Through its Global Sensor Network and sophisticated data fusion techniques, Slingshot transforms disparate space data into actionable insights, improving operational efficiency and reducing risks in an increasingly complex orbital environment. Trusted by government and commercial space operators, Slingshot Aerospace is committed to making the space domain safe, sustainable, and secure for future generations.

📋 Description

• As a Senior AI Engineer focused on Agentic Evaluation and Verification and Validation (V&V), you will join the AI and Data Science team within Slingshot’s Research and Development organization. • You will contribute to advancing how intelligent systems are evaluated and validated for mission-critical space operations. • This role focuses on building and scaling evaluation frameworks, benchmarks, and simulation-backed validation systems for agentic AI systems, including multi-step, tool-using, and autonomous decision-making workflows powered by LLMs and reinforcement learning. • Your work will directly support the development of reliable and trustworthy autonomous mission planning systems. • You will partner closely with AI researchers and domain experts to translate real-world mission concepts into structured, testable evaluation systems.

🎯 Requirements

• 6+ years of experience in software engineering, machine learning engineering, applied AI, or equivalent experience • Strong Python engineering skills with experience building SDKs, libraries, or evaluation tooling • Experience designing evaluation frameworks, benchmarks, metrics, or test harnesses for AI/ML systems • Ability to analyze system behavior, identify failure modes, and evaluate performance in complex autonomous or semi-autonomous systems • Familiarity with modern agent frameworks, orchestration patterns, or protocol-based integrations • Experience working in cross-functional, multidisciplinary teams • Strong written and verbal communication skills • Bachelor’s degree in a relevant science or engineering field, or equivalent experience • Must be a U.S. citizen and eligible to obtain and maintain a government security clearance.

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