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[5X9IHLIM] LLM Engineering Expert

ZettaMine Labs Pvt. Ltd.

LocationEgypt
Job TypeFull-time
Work ModeN/A
SalaryNot specified
Posted

JOBLYIN SUMMARY

Job Overview

This position is offered by ZettaMine Labs Pvt. Ltd., in Egypt, as a Full-time role. The job details and listed requirements below are based on the original job posting.

COMPANY PROFILE

About the Company

AIThis summary was prepared with the assistance of AI based on available information and may not reflect all details about the company.

ZettaMine Labs Pvt. Ltd. is a technology-focused organization seeking to leverage advanced expertise in artificial intelligence and machine learning. The company is currently recruiting for roles such as LLM Engineering Expert, indicating an interest in developing large language models and related technologies. While the specific industry and website are not provided, the job title suggests involvement in AI research or product development. ZettaMine Labs appears to be positioned at the intersection of innovation and practical application, aiming to drive progress through specialized technical talent. The company's focus on LLM engineering highlights its potential engagement with natural language processing, data analysis, and scalable AI solutions. Without additional information, the exact scope of operations remains inferred based on the job title provided.

ORIGINAL JOB DESCRIPTION

About the Job

Hello, Greetings from ZettaMine!!! Freelancing Opportunity :- We are currently having multiple opportunities for LLM – Engineering Experts to support an AI-focused engineering evaluation project across Bangladesh, India, Indonesia, Egypt, Ghana, Kenya, Nigeria, Turkey, Brazil, Colombia, and approved states in the USA. Role: LLM – Engineering Expert Experience: 10+ years of hands-on engineering design experience Mode: Remote Engagement: Short-Term Contract / Freelance Start: Immediately Mandatory Eligibility Criteria Technical & Professional Qualification: Master’s degree or PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related engineering discipline. 10+ years of hands-on engineering design experience. Strong proficiency in at least one domain-relevant open-source simulation package such as ngspice, PySpice, OpenFOAM, FEniCSx, CalculiX, python-control, CadQuery, build123d, OpenModelica, Cantera, or Gmsh. Strong Python scripting skills for engineering simulations, automation, analysis, and test benches. Hands-on experience with modern LLMs and coding agents, along with knowledge of AI evaluation concepts such as pass@k, failure-mode analysis, and nondeterministic behavior. Ability to audit AI agent trajectory logs, identify reasoning and tool-use failures, and diagnose systematic model behavior. Strong understanding of physical plausibility, unit consistency, boundary conditions, convergence criteria, and engineering documentation. Strong analytical and problem-solving skills with the ability to design complex engineering problems and evaluate technical solutions. Experience working with engineering simulation, computational modeling, design validation, or related technical environments. What You’ll Work On: Author original, self-contained engineering design and simulation problems designed to challenge and evaluate advanced AI agents. Develop problems with competing constraints, explicit optimization objectives, validated reference solutions, and objective automated graders. Build, run, and validate problem environments using open-source simulation tools and custom Python test benches. Evaluate AI-generated engineering solutions and coding-agent execution logs across repeated trials. Identify systematic AI failure modes, including misinterpretation of simulator feedback, premature design convergence, physically impossible geometries, and incorrect tool usage. Analyze model performance and iteratively calibrate benchmark difficulty without introducing ambiguity or missing information. Translate complex engineering requirements into practical, measurable AI evaluation tasks. Validate simulation outputs for physical correctness, engineering feasibility, unit consistency, boundary conditions, and convergence. Collaborate with AI researchers, pod leads, and other engineering domain experts to integrate high-rigor benchmarks into AI model evaluation pipelines. Develop reusable evaluation assets, reference solutions, test benches, simulation environments, and automated grading systems. Contribute technical insights to improve the performance and reliability of frontier AI models. Availability: Minimum 40 hours per week. Minimum 4 hours of overlap with PST. Weekend on-call availability is required. Immediate availability is preferred. Part-time engagement may be considered based on project requirements. Technical Infrastructure: Personal desktop/laptop suitable for engineering simulation and development work. Stable, high-speed internet connection. Ability to work independently in a remote environment. Others: LinkedIn profile is mandatory for review. Please ensure the LinkedIn profile link is included in the resume. Strong written and verbal communication skills. Ability to work independently and collaborate effectively with remote global teams. Interested candidates: Please share your updated CV with LinkedIn profile link at: vyshnavi.e@zettamine.com Thanks & Regards, Vyshnavi E ZettaMine Show more

CAREER PROFILE

Role Overview

AIThis summary was prepared with the assistance of AI based on available information and may not reflect all details about the company.

The LLM Engineering Expert role involves designing and implementing large language model solutions to address complex technical challenges. This position requires expertise in AI systems development, optimization, and integration within engineering frameworks.

REQUIREMENTS

Required Skills

PythonLLMAI Agents

JOB SOURCE

Original Job Listing

This job was found through LinkedIn. You can review the original listing before applying.

View Original Listing ↗

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