AI Engineer

Key Responsibilities

• Build and maintain Agentic AI Systems capable of delivering complex tasks such as navigating enterprise-scale inventories of structured and unstructured information sources, optimizing portfolio construction and evolving trading strategies in the financial industry.
• Develop APIs and integration points for AI services within our product ecosystem.
• Ensure AI models are secure, auditable, and compliant with industry standards.
• Optimize AI models and agentic pipelines for performance, latency, and resource utilization.
• Implement systems for model evaluation, monitoring, and continuous improvement.
• Troubleshoot complex issues in AI systems and implement solutions.
• Stay current with emerging techniques in AI engineering and LLM deployment.
• Collaborate with researchers and financial SMEs to translate prototypes and business requirements into technical solutions fully integrated with the rest of the platform.

What You Have

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
• 3+ years of experience in Software/ML/AI engineering, with a proven track record of delivering scalable AI solutions ideally on financial systems.
• Strong Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit-learn, writing efficient production-level code, which is well-written and explainable.
• Experience with deploying and scaling AI models in production environments.
• Familiarity with large language models, transformer architectures, and generative AI.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies.
• Understanding of software engineering best practices (git, version control, CI/CD, testing).
• Experience with ML engineering tools and platforms (MLflow, Kubeflow, etc.).
• Strong problem-solving skills and attention to detail.
• Able to collaborate effectively in cross-functional teams.

What Would Be Nice to Have

• Experience in the Financial Services industry (FinTech, Investment Banks, Fund Managers, etc.).
• Knowledge of distributed computing, large-scale model training, agentic framework design.
• Experience with real-time inference systems and low-latency AI services.
• Active contributor to open-source concepts or AI frameworks.
• Knowledge of vector and graph databases and knowledge graphs.

Benefits

• Compensation Domyn offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience.
• All roles include comprehensive benefits as part of the total compensation package.

About Domyn

Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.