
2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
🔥 2 minutes ago
🌐 Bangladesh, Brazil, +4 more countries – Remote
⏳ Contract/Temporary
🟠 Senior
🗼 Civil Engineer
👻 Ghost score 12%
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2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
• Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests. • Validate tasks covering structural analysis, finite-element analysis (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems. • Ensure tasks require meaningful, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows. • Verify technical correctness across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors. • Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility. • Review automated graders to ensure they assess meaningful engineering outputs, including forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance. • Identify incorrect assumptions, technical errors, unsuitable tolerances, and opportunities to bypass genuine engineering analysis. • Provide actionable technical feedback and track task revisions through completion. • Mentor and support 5–10 trainers, allocate work, monitor quality and productivity, and resolve technical blockers. • Establish and maintain quality standards, technical documentation, and best practices across task development.
• PhD, postdoctoral experience, or equivalent advanced technical expertise in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline. • Strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave. • Proficiency working in Linux and command-line environments. • Hands-on expertise in at least one major area, such as structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling. • Strong understanding of engineering principles, numerical methods, simulation workflows, and computational model validation. • Working knowledge of relevant engineering design standards, such as ASCE 7, ACI, AISC, Eurocodes, or IS codes. • Experience reviewing complex technical work, engineering simulations, research outputs, or computational models. • Strong analytical judgment and the ability to identify engineering inaccuracies, edge cases, and flawed assumptions. • Experience mentoring, reviewing, or leading small technical teams. • Excellent written communication skills for technical feedback and documentation.
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