Senior AI - Software Engineer

January 28

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iGenius

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iGenius is a company specializing in artificial intelligence solutions, providing AI-powered decision intelligence tools for businesses. Their offerings include one of the world's largest AI supercomputers and a range of custom AI solutions designed to enhance data analysis and business growth. iGenius collaborates with renowned companies like NVIDIA and Microsoft to develop AI solutions that meet regulatory requirements for mission-critical use cases, especially in regulated industries. They aim to make data more accessible and empower organizations through advanced AI technologies.

Augmented Analytics • Conversational Analytics • NLQ • Artificial Intelligence

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 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

• 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.