Senior Software Engineer (C++, Python, AI/LLM)

Offer technical assistance to researchers worldwide, including identifying technical problems, debugging Python and C++ code, and suggesting scalable solutions and enhancements.

Investigate, troubleshoot, and resolve issues in C++ applications and data pipelines, focusing on performance, stability, correctness, and maintainability.

Utilize AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Transform a variety of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering.

Improve data quality and reliability by creating validation tools and frameworks to assess the effectiveness of data enrichment pipelines.

Gain expertise in machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data.

Extract valuable insights from extensive datasets and collaborate with research teams to identify opportunities for tradable signals.

Develop utility tools to automate software development, testing, deployment, and monitoring workflows.

At least 4 years of practical experience in software engineering, data engineering, machine learning, AI, or related technical fields.

Hands-on experience with deep neural networks, machine learning techniques, and modern AI approaches.

Proven ability to implement data science pipelines and real-time applications using Python and C++.

Strong skills in debugging, troubleshooting, and enhancing C++ code, including performance analysis and root cause investigation.

Familiarity with AI/LLM tools and applications, including utilizing large language models for analysis, automation, troubleshooting, or workflow optimization.

Proficiency with Python-based tools like Jupyter Notebook and adherence to coding standards such as PEP 8.

Competence in C++ tools and concepts such as STL, object-oriented programming, and debugging best practices.

Minimum of a bachelor's degree in a technical or quantitative field.

Strong analytical and problem-solving skills with keen attention to detail.

Proficient in software development, with the ability to translate broad use cases into reliable working solutions.

Driven by curiosity, continuous learning, and solving complex technical problems.

Previous experience as a data scientist or data engineer in finance or investment-related settings.

Familiarity with Linux/Unix shell, Git, and software debugging tools.

Practical experience in time-series forecasting and analysis methods.

Experience using AI/LLM technologies in engineering, analytics, data enrichment, support automation, or developer productivity use cases.

Experience in optimizing or troubleshooting C++-based systems in production or research environments.

Be part of a dynamic and passionate team working on cutting-edge projects using the latest technology.

Collaborate with experts from around the globe to enhance your skills and knowledge.

Embrace a culture of transparency and support, valuing individual growth and potential.

Additional month's salary and performance bonuses.

Comprehensive healthcare and accident insurance coverage.

Yearly health checkup package.

Various allowances such as lunch, marriage, newborn baby, bereavement, and more.

Well-equipped pantry for a comfortable lunch break.

Diverse sports and social activities like yoga, football, badminton, and tech clubs.

Annual company retreats and team-building events.

Recognition awards for outstanding individual and team performance and long-term service.

Professional development opportunities including advanced English and soft skills training.

Regular social events such as gatherings, games, birthday celebrations, and year-end parties.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666