R&D Software Engineer
Posted 21 May 2025
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Electrical Engineering, Physics (or related)
Study levelBachelor's
Study levelMaster's or higher
About Us:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
About the Role:
As an R&D Software Engineer, you will be at the forefront of innovation at webAI. Rapidly turning cutting-edge research and conceptual ideas into functional prototypes. This role is ideal for a highly technical and creative engineer who thrives in ambiguity and fast-paced environments. You’ll work closely with research scientists, engineers, and product stakeholders to bring theoretical advancements in AI to life through proof-of-concept builds and feasibility studies. Your work will directly influence future product directions and technical strategies across our platform.
Key Responsibilities:
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Rapidly design, build, and test software and AI prototypes for emerging technologies and product ideas.
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Translate theoretical AI and ML research into practical, testable implementations.
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Create proof-of-concept demos to validate feasibility and communicate value to internal stakeholders.
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Conduct feasibility studies, benchmarking, and performance evaluations of new approaches.
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Collaborate cross-functionally with research, engineering, and product teams to align prototypes with strategic goals.
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Iterate and refine prototypes based on feedback, testing, and evolving technical requirements.
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Document design processes, experimental results, and technical insights for internal knowledge sharing.
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Stay current on emerging technologies and methodologies in AI, software engineering, and distributed systems.