About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for a highly analytical and computationally strong professional with a solid research background in mathematics or quantitative fields. In this role, you will design advanced benchmark tasks for multi-agent AI systems, focusing on complex mathematical reasoning, algorithmic problem-solving, and verifiable computational outputs. You will contribute by crafting challenging problems, building validation systems, and structuring tasks that require decomposition into coordinated sub-solutions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) + short interview Responsibilities Design and build multi-agent benchmark tasks requiring multi-step mathematical reasoning and algorithmic problem-solving Create complex, decomposable problems across domains such as: Competition mathematics Numerical analysis Combinatorial optimization Statistical inference Develop verification scripts to validate: Numerical outputs (with tolerance thresholds) Proof correctness and logical steps Algorithmic outputs and constraints Write clear, structured problem statements with precise notation and defined outputs Design task decomposition strategies for parallel or multi-agent execution Implement computational solutions and validation pipelines using Python Work with containerized environments (Docker) for reproducibility and evaluation Requirements 5+ years in mathematics, quantitative research, or computational science Strong Python skills for scientific computing (NumPy, SciPy, SymPy or similar) Experience solving or designing complex mathematical / algorithmic problems Ability to create precise, verifiable outputs (no subjective problems) Experience with mathematical proofs or formal reasoning Familiarity with AI benchmarks or evaluation frameworks (e.g., SWE-bench) Comfortable working with Docker environments Solid understanding of numerical methods (precision, convergence, error bounds) Show more Show less