Senior Software Engineer
Highbrow Technology Inc., a leading provider of AI-driven solutions, is hiring for a fully remote position in the APAC region. This full-time contract role focuses on developing and evaluating software benchmarks and algorithms within the growing field of Generative AI. As part of a global innovation team, the candidate will use their expertise in Python and complex systems to advance AI model performance. Perks include working with cutting-edge technologies and collaborating with global professionals across GenAI, security, cloud, and infrastructure specialties. Compensation details are not disclosed, but the company supports a high-impact, distributed team culture with career development in emerging tech domains.
The ideal candidate will have at least 5+ years of experience in software engineering or systems programming, and a minimum of 4 years of Python experience. Proficiency in designing and implementing algorithms and data structures is crucial, along with an understanding of algorithmic complexity and performance optimization. Expertise in benchmarking, test automation, and modern code management practices is highly valued. Applicants should demonstrate deep technical fluency in at least four of the following areas: Core Data Structures, Algorithmic Paradigms, Graph Algorithms, Mathematics, String Processing, and Advanced Topics like FFT and Linear Programming. Familiarity with data formats like JSON or YAML is expected.
This role is ideal for experienced technologists passionate about building intelligent systems and evaluating algorithmic performance at scale. Highbrow Technology’s focus on AI compliance and domain-specific learning models ensures your work will have a real-world impact across industries. For more information, visit their website or reach out via hr@highbrowtechnology.com.
Special Requirements
Special Requirements: Python, Algorithms, and Data Structures
Requirements
- 5+ years of experience in software engineering, algorithm design, or systems-level programming.
- Strong proficiency in Python with at least 4+ years of experience.
- Proven ability to write clear, concise, and technically challenging algorithmic code.
- Strong understanding of algorithmic complexity, performance optimization, and computational constraints.
- Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus.
- Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.
Domains of Expertise
Successful candidates will demonstrate deep fluency in at least four of the following areas:
- Core Data Structures: Trie, Segment Tree, Union Find
- Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking
- Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting
- Mathematics & Number Theory: Geometry, Probability, Modular Arithmetic
- String Processing: Suffix Trees, Rolling Hashing, Pattern Matching
- Advanced Topics: 2-SAT, Fast Fourier Transform (FFT), Linear Programming
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