Pod Lead – Chemical Engineering (Terminal Bench Science)

Job ID: 111813
Location: Remote – India
Rate: ₹2.19 LPM
Short-Term Contract
Duration: 4 Weeks
Experience: PhD / Postdoctoral / Equivalent Advanced Technical Experience

Job Overview

We are looking for an experienced Chemical Engineering expert to join us as a Pod Lead – Chemical Engineering for a short-term contract with a leading AI training and evaluation initiative.

The selected candidate will lead a team of 5–10 technical trainers responsible for developing, reviewing, and validating realistic, terminal-based chemical engineering tasks used for training and evaluating advanced AI systems.

This role requires strong expertise in chemical engineering fundamentals, computational modeling, numerical methods, and programming, along with the ability to mentor technical teams and ensure the quality and accuracy of engineering tasks.

Key Responsibilities

- Lead, mentor, and manage a pod of 5–10 technical trainers.
- Review and validate chemical engineering tasks for technical accuracy, reproducibility, and quality.
- Evaluate engineering problems involving reaction kinetics, thermodynamics, process modeling, process simulation, and optimization.
- Verify mass and energy balances, thermodynamic consistency, property data, unit handling, and numerical convergence.
- Review computational models, simulation workflows, solver configurations, and reference solutions.
- Validate automated tests and graders for meaningful engineering outputs such as conversion, yield, selectivity, purity, and energy consumption.
- Identify technical errors, unrealistic assumptions, and flawed engineering calculations.
- Provide actionable technical feedback and ensure quality issues are resolved before task approval.
- Allocate tasks, monitor team productivity, track revisions,



and ensure timely delivery.
- Maintain technical documentation and quality standards.

Required Skills and Qualifications

- PhD, postdoctoral experience, or equivalent advanced technical experience in Chemical Engineering.
- Robust programming skills in Python, Julia, C/C++, or MATLAB/Octave.
- Proficiency in Linux and terminal-based environments.
- Hands-on expertise in at least one of the following:
- Process Modeling
- Reaction Kinetics
- Thermodynamic Modeling
- Process Simulation
- Process Optimization
- Strong understanding of chemical engineering fundamentals and numerical methods.
- Experience with computational modeling, engineering simulations, or technical research.
- Ability to evaluate engineering calculations, simulation results, and numerical accuracy.
- Experience in technical mentoring, reviewing, or leading small teams.
- Excellent analytical, problem-solving, and technical communication skills.

Preferred Skills

- Experience with chemical engineering tools such as Cantera, CoolProp, Pyomo, IDAES, DWSIM, CasADi, or OpenFOAM.
- Familiarity with Aspen Plus, Aspen HYSYS, or gPROMS.
- Experience in reactor modeling, separation processes, process control, or electrochemical simulations.
- Knowledge of Docker, Git, CI/CD pipelines, and automated testing.
- Experience with AI training, LLM evaluation, benchmark development, or AI coding agents.
- Industry experience in petrochemicals, pharmaceuticals, energy, specialty chemicals, or process manufacturing.

Who Should Apply?

This opportunity is ideal for Chemical Engineering PhDs, postdoctoral researchers, or experienced technical professionals with strong computational and programming skills who have experience in engineering research, process simulation, technical validation, or team leadership.

Interested candidates are encouraged to apply with their updated CV.

Work Location: Remote

📌 Pod Lead – Chemical Engineering (India)
🏢 oak tree software solutions
📍 India