United States - Remote · 3d ago
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What this job asks for
Extracted by RemoteHuntMust have
- •Background in Mechatronics, Mechanical Engineering, Automation, or related technical field
- •Ability to read and interpret technical drawings and engineering documentation
- •Basic Python skills
- •Eagerness to explore AI applications in engineering
Tools and technologies
Python, LLMs, RAG
Read the full posting
Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU.
With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community.
This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for an AI & Engineering Intern with a background in Mechatronics, Mechanical Engineering, Automation, or a related technical field , who can read and interpret technical drawings and engineering documentation, has basic Python skills, and is eager to explore how AI can be applied to real-world engineering challenges. 🚀 Your main
responsibilities
Read and interpret technical drawings, engineering diagrams, and documentation. Support the development of AI solutions using LLMs and RAG. Use Python to extract, process, and analyze technical data.
Test and validate AI-generated results against technical documentation. Collaborate with experienced AI Engineers to develop and improve AI-powered solutions.
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