Senior AI / Software Engineer

Job Description

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 iGenius

Founded in 2016, iGenius is an AI company specialized in AI products tailored for highly regulated sectors, including financial services, government, and heavy industry. iGenius’ flagship product, Crystal, is an AI-powered Decision Intelligence tool for analyzing data in natural language. In addition, iGenius’ offer includes two proprietary Large Language Models: Italia 9B, an open-source Italian Foundational Large Language Model, developed with Cineca, and Colosseum 355B, a state-of-the-art LLM powering Agentic AI for regulated industries, built with the latest NVIDIA technology. These two LLMs power a second iGenius product, Unicorn, which supports companies in adopting AI safely and effectively, with custom applications tailored to their needs. In December 2024, iGenius joined forces with NVIDIA to build Colosseum, one of the largest AI supercomputers in the world, powered by Grace Blackwell Superchips.

As one of the top AI unicorns in Europe, iGenius has attracted Fortune 500 companies, including Allianz and Intesa Sanpaolo. Moreover, Gartner has recognized iGenius as a “Cool Vendor” in the AI Core Technologies category and mentioned it in its Market Guide for Conversational AI. 

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