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

Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements.

Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability.

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

Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering.

Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines.

Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data.

Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals.

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

Minimum 4+ years of hands-on experience in software engineering, data engineering, machine learning, AI, or related technical domains.

Practical experience with, and theoretical understanding of, deep neural networks, machine learning techniques, and modern AI approaches.

Demonstrated ability to implement data science pipelines and real-time applications in Python and C++.

Strong experience in debugging, troubleshooting, and improving C++ code, including performance analysis, root cause investigation, and code maintainability.

Familiarity with AI/LLM tools and applications, including using large language models to support analysis, automation, technical troubleshooting, or workflow optimization.

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

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

Strong academic background, with a minimum of a bachelor's degree in a technical or quantitative field.

Exceptional analytical and problem-solving abilities, with strong attention to detail.

Strong software development skills, with the ability to convert broad use cases into reliable working solutions.

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

Experience as a data scientist or data engineer in finance or investment-related environments.

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

Practical experience with time-series forecasting and analysis methods.

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

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

Join a vibrant team working on cutting-edge projects.

Collaborate with global experts to enhance your skills.

Thrive in a culture of openness and respect, encouraging your full potential.

Competitive salary, 13th-month salary, and performance-based bonuses.

Comprehensive healthcare package, including statutory and accident insurance.

Meal allowance and additional benefits for marriage, newborn, bereavement, and other life events.

Access to Coursera and Udemy Business Premium, along with continuous English, technical, and soft skills training.

Annual company trips, team-building activities, sports clubs (badminton, football, yoga, etc.), and vibrant employee engagement events.

Recognition and rewards through quarterly, annual, team, individual, and long-service awards.

Modern workplace with a fully stocked pantry and all necessary working equipment provided from day one.

Engaging monthly events: Happy gatherings, mini-games, team birthday celebrations, year-end party, and more.

Employee support fund for personal loans (e.g., housing, vehicle, education).

Clear career development opportunities in a fast-growing technology company.

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