- Collaborative Environment: Work alongside talented engineers, designers, and product managers in a supportive and inclusive team that values open communication and shared success.
- Growth Opportunities: We invest in your professional development through mentorship, training, and access to conferences and certifications.
- Modern Tech Stack: Work with cutting-edge technologies and tools in cloud-native environments, microservices, and modern frontend frameworks.
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Translate complex algorithmic ideas - syntax parsing, semantic chunking, custom routing - into reliable, production ready software components.
Build and rigorously evaluate prototypes for future AI initiatives, including open source small language models (SLMs), custom embeddings, and multi agent / cross validation patterns, backed by measurable retrieval and quality metrics.
Architect multi tenant data, identity, and authorization layers that meet enterprise security and compliance requirements.
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Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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Seeking feedback and guidance from your manager and team to continuously improve your skills and performance.
You are currently pursuing a bachelor’s degree in engineering, specializing in Electrical, Electronics, Mechanical, Mechatronics, Computer Science, Industrial Engineering or related fields.