Team: Research
Location: Bhaktapur
Role Overview
As a Research Engineer at SAGEA, you will work at the boundary of research and engineering to design, implement, and evaluate reasoning-driven language models. This role focuses on turning research ideas into working systems through rigorous experimentation, efficient implementation, and careful evaluation.
You will collaborate closely with research scientists and engineers to prototype new model architectures, run controlled experiments, and improve model efficiency and deployment readiness.
What You Will Do
Design and implement model architectures and training pipelines for language and reasoning systems
Run experiments to evaluate model behavior, efficiency, and scalability
Prototype and iterate on research ideas, turning concepts into measurable results
Improve inference efficiency and model performance under constrained environments
Analyze experimental results and contribute to internal research reports and documentation
Support reproducibility by maintaining clean experiment pipelines and versioned results
Collaborate with engineering teams to transition research outputs toward deployment
What We Are Looking For
Strong foundation in machine learning and deep learning
Solid programming skills, primarily in Python
Experience working with neural networks and modern ML frameworks
Ability to reason about experiments, metrics, and tradeoffs
Comfort working in fast moving research environments with incomplete information
Nice to Have
Experience with language models, transformers, or reasoning architectures
Familiarity with training large models or optimizing inference
Exposure to research workflows, ablation studies, and benchmarking
Experience reading and implementing research papers
Why This Role Matters at SAGEA
At SAGEA, Research Engineers are central to how ideas become systems. This role ensures that research is not isolated from engineering and that experimental advances are grounded in implementation, efficiency, and real-world constraints.
Skills Required
- Strong foundation in machine learning and deep learning
- Solid programming skills, primarily in Python
- Experience working with neural networks and modern machine learning frameworks
- Ability to reason about experiments, metrics, and tradeoffs
- Comfort working in fast-moving research environments with incomplete information
- Experience with language models, transformers, or reasoning architectures
- Familiarity with training large models or optimizing inference
- Exposure to research workflows, ablation studies, and benchmarking
- Experience reading and implementing research papers
What We Do
SAGEA is a frontier AI research and technology company building foundational models and tailored artificial intelligence systems for language, vision, and voice. It combines research in multimodal intelligence and model efficiency with applied AI services, enterprise infrastructure, and products such as identity infrastructure, Document AI, and real-time voice intelligence. Its mission is to help organizations solve difficult problems and safely deploy high-performance AI in regulated sectors.
