Remote AI Engineer Design Specialist Jobs 2026 15 views

Remote AI Engineer Design Specialist Jobs 2026 – CodeByte Lahore

CodeByte is seeking experienced and highly skilled professionals for the role of AI Engineer Design Specialist. Based in Lahore, this remote-friendly opportunity is tailored for engineers with deep design expertise who are ready to create challenging, simulation-based design problems to train and evaluate advanced AI models.

The core focus of this role is crafting realistic engineering design tasks where an AI model must make genuine trade-offs, size components, and iterate against physics-based simulators to meet competing specifications. If you have a Master’s or PhD in an applied science field and hands-on design experience, this is an incredible opportunity to shape the future of AI engineering capabilities.

Job Overview and Details

Key Responsibilities

As an AI Engineer Design Specialist, you will be bridging the gap between complex engineering principles and AI model training. Your tasks will include:

• Designing and validating simulation-based engineering problems that require true design reasoning, clear constraints, and optimization goals.
• Delivering complete problem sets, including reference solutions, near-miss variants, edge cases, and comprehensive documentation.
• Ensuring appropriate problem difficulty with multiple failure modes.
• Collaborating with AI researchers to refine design problems based on model performance.

Domain Tracks

Candidates must have deep design expertise in at least one of the following domains (expertise spanning multiple tracks is a strong plus):

• Electrical & Computer Engineering: Analog/mixed-signal IC design, power electronics, RF/microwave, digital system design, FPGA/ASIC, embedded systems.
• Mechanical Engineering: Structural/thermal/fluid system design, mechanism design, HVAC, vibration/dynamics, manufacturing process design.
• Chemical Engineering: Reactor design, process optimization, separation systems, transport phenomena, thermochemistry.
• Control Systems: Classical/modern control design, state estimation, nonlinear and robust control.
• Aerospace & Robotics: Aerodynamic design, propulsion sizing, orbital mechanics, kinematic/dynamic design, motion planning, mechatronic system integration.
• Other Tracks: Materials/Nano, Engineering Physics/Optics, Civil/Structural Engineering, Nuclear/Energy, and Systems Engineering.

Required Qualifications & Skills

• Master’s or PhD in a relevant engineering or applied science field.
• 3+ years of hands-on engineering design experience, producing validated designs from competing specs (not just analysis).
• Proficiency in at least one open-source simulation tool relevant to your domain.
• Strong Python (or equivalent) scripting skills.
• High attention to detail across units, boundary conditions, convergence, and physical realism.

Nice to Have

• Experience designing engineering coursework, exam problems, or design challenges at the graduate level.
• Familiarity with CI/CD pipelines or automated testing frameworks.
• Exposure to LLM evaluation, AI benchmarking, or training data curation.
• Cross-domain familiarity.

How to Apply

If you possess the deep technical expertise required to challenge and train next-generation AI models, apply by submitting your updated CV and portfolio/GitHub highlighting your scripting and simulation experience directly to CodeByte’s recruitment portal.