AI Engineer

Domyn SpA

128d

About The Position

We are hiring an AI Engineer to join our team and help build the next generation of AI solutions for financial workflows. This role is focused on the hands-on engineering and deployment of robust, scalable AI systems, working alongside cross-functional teams to turn technical concepts into powerful business applications. You will apply your expertise to design, implement, and optimize our core AI capabilities. This role involves building production-grade agentic platforms, integrating safety and compliance guardrails, and solving the unique engineering challenges of complex, agentic workflows. You’ll collaborate closely with our engineering, product, research, and customer teams to integrate advanced AI solutions directly into mission-critical financial applications. As we deploy sophisticated agents across diverse data environments, you’ll play a key role in developing the reasoning engines and retrieval systems that power them. This is an opportunity to grow your career at the forefront of AI adoption in financial services, solving complex challenges and contributing to the intelligence behind innovative enterprise solutions.

Requirements

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.
Ability to collaborate effectively in cross-functional teams.

Nice To Haves

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.

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.