Senior AI Engineer

Responsibility

The common responsibilities for this position include driving and championing the roadmap for AI development from ideation to deployment in alignment with strategic goals. Designing, developing, and optimizing state-of-the-art AI systems, including large language models (LLMs) and machine learning algorithms, is essential. Building and enhancing AI capabilities for algorithmic trading, strategy automation, and financial analysis is a key duty. Collaborating with cross-functional teams to integrate AI solutions into workflows and client-facing platforms is required. Conducting rigorous testing, validation, and optimization of AI models to ensure reliability, scalability, and performance is necessary. Mentoring junior engineers and fostering a culture of innovation and technical excellence is expected. Developing data pipelines for processing and analyzing large datasets, creating predictive models, and implementing generative AI models also fall under this role. Additionally, designing AI architectures, configuring and extending internal AI tools, and conducting research on emerging AI techniques are part of the responsibilities. Collaborating with engineering teams and providing operational support for existing AI solutions, as well as monitoring and optimizing production automations, are also key tasks.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%