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.
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...)
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 iGenius
iGenius is a deep-tech company specialized in the development of Artificial Intelligence solutions for companies operating in highly regulated industries, including financial services, government, or heavy industry. iGenius’ main product, Unicorn, offers tailored solutions for companies looking to integrate AI safely and effectively, mainly through two proprietary Large Language Models (LLMs). Italia 10B, is a multi-language model optimized for regulated sectors and elevated computational efficiency, while Colosseum 355B, built with latest-generation NVIDIA technology, is fit for mission-critical use cases. In addition to Unicorn, iGenius’ product offer includes Crystal, an AI agent for Decision Intelligence that analyzes business data in natural language and accurately supports strategic, insight-driven decision-making. In December 2024, iGenius joined forces with NVIDIA to build Colosseum – one of the largest AI supercomputers in the world – to support the deployment of its models with unrivaled speed, performance, and efficiency.
Active in both Europe and the United States, iGenius is one of the leading AI unicorns in the European landscape, and has attracted Fortune 500 companies, including Allianz and Intesa Sanpaolo. This led Gartner to recognize iGenius as a “Cool Vendor” in the AI Core Technologies category, as well as mention the company in its Market Guide for Conversational AI.
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