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

Company Description: Our client is a technology company developing software and data solutions for international clients, offering an environment where employees collaborate with global experts on cutting-edge technology projects. The company is currently looking for a Senior Software Engineer to join a Fintech project and work directly with the US-based team/client.

Role Description

- 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.

Qualifications

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

- Good English

- 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.

Preferred Skills

- 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.