Senior AI / Software Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Software • Analytics
The Role
The Senior AI/Software Engineer will lead the development of AI solutions for financial workflows, focusing on building scalable AI systems, developing APIs, and integrating AI models into financial platforms. The role requires collaboration with various teams to ensure compliance, security, and optimal performance of AI models.
Summary Generated by Built In

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

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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Top Skills

Python
The Company
HQ: Milan, Lombardy
207 Employees
On-site Workplace
Year Founded: 2016

What We Do

iGenius is an Italian AI company that develops language models and AI solutions tailored for highly regulated industries, including financial services and government.

With a mission to democratize business knowledge, iGenius is one of the top AI unicorns in Europe today.

iGenius’ flagship product, Crystal, is a Decision Intelligence tool that analyzes data in natural language, making it accessible for anyone within a business organization. From Allianz to Intesa San Paolo, Crystal has become the AI solution of choice for a number of Fortune 500 companies. 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 and include it in the 2024 Magic Quadrant for Analytics and BI platforms.

In June 2024, iGenius released Italia, an open-source Foundational Large Language Model, developed in collaboration with Cineca, and trained entirely on high-quality native Italian sources.

That same month, iGenius launched a new enterprise solution called Unicorn, to support companies in adopting AI safely and effectively, with AI solutions tailored to their needs.

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