We are hiring Senior AI and Software Engineers 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. Key Responsibilities: Build and maintain Agentic AI Systems capable of delivering complex tasks such as optimizing portfolio construction and evolving trading strategies in the financial industry. Develop APIs and integration tools to embed AI models into financial platforms. Ensure AI models are secure, auditable, and compliant with industry standards. Optimize model performance and scalability for real-time use cases. Collaborate with data scientists and financial SMEs to translate business requirements into technical solutions.

Requirements Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science or Engineering. 7+ years of experience in 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 An independent, problem-solving approach, paired with a passion for data and a growth-mindset ready to tackle genuine challenges.

Focus for ML Engineers Proven track record of working with large language models. 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.

Focus for Software engineers 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, …) Experience with CI/CD tools (Jenkins, Travis, Argo CD, Terraform...) Benefits Compensation iGenius 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. At the core of Domyn’s product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle. Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business’s specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients. Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security. Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters. Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri.

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