Artificial Intelligence Engineer

AI Engineer Location: [On-site] at Al Hafeez Executive, Block C3, Gulberg III, Lahore

About Us:

SOCO Engineers is a pioneering software solutions provider driving innovation across industries with SIMUSPACE, an adaptive intelligence platform that automates workflows, unifies data, and accelerates decision-making. Trusted by global leaders in automotive, aerospace, energy, and manufacturing, SIMUSPACE empowers teams to turn complexity into clarity.

Role Overview: As an AI Engineer, you will design, develop, and deploy cutting-edge AI solutions to enhance SIMUSPACE's capabilities, with a focus on simulation, predictive analytics, and intelligent automation. Your work will directly impact industries relying on high-performance computing (HPC), large-scale simulations, and AI-driven decision-making.

Key Responsibilities:

1. AI Solution Development

• Design and implement LLM-based workflows (fine-tuning, RAG, Agentic AI) for simulation optimization, materials testing, and predictive maintenance.
• Develop machine/deep learning models to automate CAE workflows (e.g., crash simulations, CFD analysis) and reduce manual intervention.
• Build custom AI agents to integrate with SIMUSPACE's HPC job scheduler, dashboards, and third-party tools (e.g., ANSYS, LS-DYNA).

• Deploy AI models at scale on cloud platforms (AWS/Azure/GCP) and on-prem HPC clusters, ensuring low-latency, high-throughput performance.
• Optimize models for hybrid environments (cloud + local infrastructure) using Docker, Kubernetes, and parallel computing frameworks.
• Implement data pipelines for real-time analytics, simulation outputs, and legacy databases.

• Partner with simulation engineers to embed AI into automotive/aerospace workflows (e.g., DOE optimization, virtual homologation).
• Work with product teams to translate customer pain points into AI-driven features (e.g., anomaly detection in material tests).
• Support DevOps in CI/CD pipelines for seamless model updates and monitoring.
• Stay ahead of AI trends (e.g., multimodal LLMs, physics-informed ML) and prototype solutions for industrial simulations.
• Publish findings in technical blogs, whitepapers, and conferences to position SIMUSPACE as an AI leader.

• Create documentation, tutorials, and use-case guides for developers and end-users.
• Provide technical support for AI/ML features, ensuring robust adoption across industries.

Qualifications:

• Education: Bachelor's/Master's in Computer Science, AI, Data Science, or related field.
• Experience: 2+ years building AI solutions focused on LLMs, Generative AI, and Deep Learning.

Technical Skills:

• Expertise in Python, TensorFlow/PyTorch, frameworks like LangChain, Hugging Face.
• Proficiency in LLM fine-tuning, RAG architectures, Transformers, and Agentic AI (LangGraph, CrewAI).
• Experience deploying models on cloud AWS/Azure/GCP, local servers, and HPC systems.
• Strong grasp of data visualization (Plotly, Tableau, Apache Echarts) and big data tools (Spark).

Soft Skills:

• Complex problem-solving with scalable, production-ready solutions.
• Ability to communicate technical concepts to non-technical stakeholders.

Preferred:

• Experience with digital twins or physics-informed ML.
• Familiarity with simulation tools (LS-DYNA, ANSYS) and CAE workflows.
• Contributions to open-source AI projects or publications in relevant journals.

Why Join SOCO Engineers?

• Impact: Drive innovation in automotive, aerospace, and energy industries by shaping the future of SIMUSPACE—a platform transforming automation, analysis, and collaboration.
• Growth: Access tailored training, mentorship, and conference opportunities.
• Work-Life Balance: Competitive salary, health benefits, and bonuses.
• Stability: Join a forward-thinking company with a strong client base in automotive and aerospace.