Senior AI Engineer

Domyn SpA

128d

About The Position

We are hiring a Senior AI Engineer to join our team to lead the engineering and deployment of AI solutions for financial workflows. This role requires expertise in building robust, scalable AI systems and collaborating with cross-functional teams to align technical capabilities with business objectives. You will provide technical leadership and hands-on expertise to design, build, and scale our core AI capabilities. This role requires large-scale system design, implementing enterprise-scale agentic platforms and application layers, rigorous safety and compliance guardrails, and managing the unique 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 central role in architecting the reasoning engines and retrieval systems that make it all possible. This is an opportunity to work at the forefront of AI adoption in financial services, solving complex challenges and shaping the intelligence behind innovative enterprise solutions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
• 7+ years of experience in Software/ML/AI engineering, with a proven track record of delivering scalable AI solutions ideally on financial systems.
• Superb 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.
• Proven track record of deploying and scaling AI models in production environments.
• In-depth experience with large language models, transformer architectures, and generative AI.
• Good knowledge in at least one of the following applied machine learning fields: Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, Knowledge Graph.
• Experience in infrastructure development for distributed systems and AI applications, proficient in cloud infrastructure, including AWS, Google Cloud, Azure.
• Additionally, well-versed in various data storage and warehouse solutions, such as Snowflake, Databricks, MongoDB, Oracle, SQL, and NoSQL databases.
• Strong understanding of MLOps practices and tools.
• Solid experience spanning the entire development stack, including Python, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP, confident in abilities to deliver cutting-edge solutions.
• Experience with modeling and implementing deep learning models by employing TensorFlow or PyTorch.
• Knowledge of pipeline and workflow management tools (Airflow, Argo Workflows, etc.).
• Experience with CI/CD tools (Jenkins, Travis, Argo CD, Terraform, etc.).
• An independent, problem-solving approach, paired with a passion for data and a growth-mindset ready to tackle genuine challenges.
• 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

• Lead building and maintenance of 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.
• Own development of 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.

Benefits

• competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience.
• comprehensive benefits as part of the total compensation package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior