Software Engineer II - Performance Engineering

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Your Team’s Impact Portfolio Vault serves Asset Managers and Asset Owners as a centralised solution for storing, locking, and reporting portfolio returns and analytics. Designed to be a single source of truth, it ensures consistent and reliable data across the organisation.

By joining our team of skilled Java Engineers, you’ll become part of an Agile, collaborative environment that fosters growth and innovation. You’ll also have the unique opportunity to work alongside an active Machine Learning community, gaining hands‑on mentorship and development support.

As a Machine Learning Engineer, your goal will be to thoughtfully integrate LLMs and other AI techniques into our products and internal processes. Rather than introducing LLMs by default, you will aim to apply them where they add real value, enhancing existing capabilities, enabling new use cases or improving team productivity.

This position is based in Paris, allowing you to work alongside established machine learning teams and benefit from collaborative synergies in this location.

Technical stack Java JDK 21, Vue.JS, Kubernetes, FactSet.io, AWS, Redis, MCP, Agentic workflows, RAG, SQL.

What You’ll Do Prompt Engineering

Design effective prompts to maximise AI utility

Develop prompt guidelines and best practices for the team

Design and optimise AI prompts

Develop prompt guidelines and best practices

Leverage MCP tooling for prompt management and experimentation

Architect and deploy agentic workflows

Test and evaluate prompt effectiveness in complex scenarios

Share knowledge and train team members in prompt engineering

Collaborate with cross-functional teams on AI‑driven solutions

Technical Excellence

In collaboration with agentic tooling (Claude Code, Cursor, Copilot), help your team to manage the entire software development lifecycle, from theinitialdesign and coding to testing and the deployment of applications

Deploy and support ML‑driven agentic solutions

Write and deliver clean, thoroughly tested code that is reliable, maintainable, and scalable

Cross‑Functional Collaboration

Work closely with engineering and product teams to ensure adherence to best practices

Foster clear communication and teamwork to efficiently execute complex projects

Leadership

Coach a team of experienced engineers, helping them to improve their productivity

Bring your experience, promoting a culture of innovation and continuous learning within the team

What We’re Looking For

1‑2 Years experience with AI/ML and Python

Master's degree in Computer Science or equivalent training

Ability to articulate and quickly adopt development best practices

Ability to build strong relationships and work with engineering peers to solve problems and overcome obstacles

Familiarity with ML, NLP and GenAI (including RAG, Prompt Engineering, Vector DBs)

Experience with Agentic workflows and MCP

Familiarity with deep learning libraries (Keras, PyTorch, Tensorflow)

Experience with Docker and AWS services is preferred

Work experience on ML Ops is preferred

Work experience with Jupyter Notebooks is preferred

Familiarity with deep learning libraries (Keras, PyTorch, Tensorflow) is a bonus

Experience in software development in Java is preferred

Familiarity with version control systems (Git) is preferred

Database and SQL general knowledge (Postgres/SQL) is a bonus

Company Overview FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy‑side and sell‑side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next‑generation workflow solutions, and client‑centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

#J-18808-Ljbffr