AI Solutions Developer

12 hours ago

Lahore, Punjab, Pakistan beBee Careers Full time
Job Overview

As an AI Solutions Developer, you will be part of a pioneering software solutions provider driving innovation across industries. You will work on enhancing the capabilities of our adaptive intelligence platform, SIMUSPACE, which automates workflows, unifies data, and accelerates decision-making.

About Us:

We are a forward-thinking company with a strong client base in automotive and aerospace. We provide tailored training, mentorship, and conference opportunities for our employees.

Main Responsibilities:

  • AI Solution Development
  • Design and implement LLM-based workflows for simulation optimization, materials testing, and predictive maintenance.
  • Develop machine/deep learning models to automate CAE workflows and reduce manual intervention.
  • Build custom AI agents to integrate with our HPC job scheduler, dashboards, and third-party tools.
  • Integration & Deployment
  • Deploy AI models at scale on cloud platforms and on-prem HPC clusters, ensuring low-latency, high-throughput performance.
  • Optimize models for hybrid environments using Docker, Kubernetes, and parallel computing frameworks.
  • Implement data pipelines for real-time analytics, simulation outputs, and legacy databases.
  • Cross-Functional Collaboration
  • Partner with simulation engineers to embed AI into automotive/aerospace workflows.
  • Work with product teams to translate customer pain points into AI-driven features.
  • Support DevOps in CI/CD pipelines for seamless model updates and monitoring.
  • Stay ahead of AI trends and prototype solutions for industrial simulations.
  • Publish findings in technical blogs, whitepapers, and conferences to position us as an AI leader.

Qualifications:

  • 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).

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