Operations Engineer – Multi‑Agent Benchmark Tasks (Remote)

About the role

We are looking for an Operations Engineer to design and develop multi‑agent benchmark tasks that simulate real‑world operational challenges. This short‑term contract (4 weeks) is fully remote and requires close collaboration with our research and engineering teams.

Key responsibilities

• Design multi‑agent benchmark tasks covering planning, scheduling, and resource allocation.
• Create realistic operational scenarios such as logistics, project management, incident response, and capacity planning.
• Build constraint‑rich problem statements with multiple dependencies and variables.
• Develop Python scripts to evaluate feasibility, completeness, and optimality of solutions.
• Decompose complex problems into structured sub‑tasks for multi‑agent systems.
• Model scenarios with timelines, dependencies, and resource constraints.
• Collaborate with cross‑functional teams to improve task quality, coverage, and evaluation rigor.

Required profile

• 5+ years of experience in operations, project management, logistics, or supply chain.
• Strong understanding of constraints, dependencies, and scheduling logic.
• Proficiency in Python for validation and verification scripting.
• Excellent structured problem‑solving and decomposition abilities.
• Clear technical communication and documentation skills.
• Ability to work in a fast‑paced environment and meet deadlines.

Required skills

• Python
• Docker
• Linear programming
• Constraint satisfaction
• Scheduling algorithms
• Simulation or modeling tools
• AI planning systems
• AI benchmark frameworks (e.g., SWE‑bench, Terminal‑bench)