
Senior AI System Developer
1 day ago
About ARC-Net
Driven by industry-oriented AI research, we develop scalable solutions.
We deliver impactful projects in space technology and AI-based interview assessment, while exploring Climate Tech and MedTech. Our model fosters collaboration, scalability, and innovation under real constraints.
About the Role
A Senior AI Engineer will translate research into efficient AI systems. You'll design architectures, lead technical decisions, and deliver projects with measurable outcomes. Alongside building solutions, you'll mentor younger engineers and work closely with researchers and collaborators to expand our impact.
Key Responsibilities
- Develop strategic technical roadmaps for AI projects.
- Lead design and development of scalable, industry-relevant AI solutions.
- Collaborate with faculty, researchers, and partners to define goals, milestones, and deliverables.
- Manage project teams by providing technical guidance and mentorship to young engineers and researchers.
- Contribute to translating research into solutions with measurable outcomes.
Required Qualifications
- Bachelor's or Master's degree in Computer Science.
- Proven experience working on R&D focused cross-disciplinary projects.
- Proficiency in system architecture, model design, and scalable implementation.
- Excellent communication and ability to work in fast-paced environments.
Preferred Qualifications
- Experience in translating research into shipped solutions (e.g., prototypes, products, or platforms).
- Background in industry–academia collaborations, technology transfer, or original research initiatives.
- Familiarity with innovation ecosystems, or applied research labs.
- Active connections or participation in the AI, SaaS, or broader tech community.
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