Software Engineer, Operational AI

Why join us

Brex empowers the next generation of businesses with an integrated corporate card and spend management software. We make it easy for our customers to manage every aspect of spending and empower their employees to make better financial decisions from anywhere they live or work. Brex proudly serves tens of thousands of growing businesses, from early-stage startups to global enterprises.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Engineering at Brex

The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

We are looking for a software engineer to join our new Operational AI team. The Operational AI team is in charge of the AI projects that keep our business running behind the scenes, such as operational automation. Delivering on these projects requires development on the platform to enable both traditional ML model and generative AI at Brex, with a vision to scale and democratize machine learning and AI to meet the needs of business. You would be collaborating with data scientists and engineers from across all of engineering within Brex to build, maintain and scale our AI systems.

Responsibilities

• • Design and develop the infrastructure to provide a cohesive, integrated, and managed development life cycle for traditional ML models and LLMs
  • Architecting, building, and diagnosing production AI/ML systems
  • Working closely with AI/ML application teams to design seamless workflows for continuous model training, inference, and monitoring
  • Defining and providing strong SLAs and metrics around latency, throughput and resource
  • Interfacing with both ML experts and platform engineers to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
  • Troubleshooting and debugging user issues
  • Providing operational and user-facing documentation
  • You will be responsible for developing, cultivating and nurturing the AI-driven culture within Brex.

Requirements

• 3+ years of professional experience in a software engineering role or equivalent experience
• Experience working with backend programming languages, such as Kotlin, Python, etc
• Experience building custom MLOps platform solutions based in business needs
• Experience leveraging and integrating industry MLOps solutions, such as AWS Sagemaker, Databricks, etc
• Experience using LLM technologies such as langchain, LLM AIs
• Familiarity with software engineering development cycles
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills
• English proficiency/fluency (written and speaking). Note: Interviews will be conducted in English.

Bonus points

• Experience driving initiatives at a broader level across an organization or company
• Strong writing skills
• Proactive approach
• You know what prompt engineering is and how to get the most out of an LLM

Location

• Must be working in Brazil at the start of role.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.