Brex
Software Engineer, Operational AI
Brex, San Francisco, California, United States, 94199
Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
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, such as operational automation, that keep our business running behind the scenes. 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 the 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 LLMsArchitect, build, and diagnose production AI/ML systemsWork closely with AI/ML application teams to design seamless workflows for continuous model training, inference, and monitoringDefine and provide strong SLAs and metrics around latency, throughput, and resourceInterface with both ML experts and platform engineers to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platformsTroubleshoot and debug user issuesProvide operational and user-facing documentationBe responsible for developing, cultivating, and nurturing the AI-driven culture within BrexRequirements
3+ years of professional experience in a software engineering role or equivalent experienceExperience working with backend programming languages, such as Kotlin, Python, etc.Experience building custom MLOps platform solutions based in business needsExperience leveraging and integrating industry MLOps solutions, such as AWS Sagemaker, Databricks, etc.Experience using LLM technologies such as langchain, LLM AIsFamiliarity with software engineering development cyclesAbility to hold yourself and the team to high standardsStrong communication and interpersonal skillsMust be willing to work in office 2 days per week on Wednesday and ThursdayBonus points
Experience driving initiatives at a broader level across an organization or companyStrong writing skillsProactive approachYou know what prompt engineering is and how to get the most out of an LLMCompensation
The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
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, such as operational automation, that keep our business running behind the scenes. 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 the 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 LLMsArchitect, build, and diagnose production AI/ML systemsWork closely with AI/ML application teams to design seamless workflows for continuous model training, inference, and monitoringDefine and provide strong SLAs and metrics around latency, throughput, and resourceInterface with both ML experts and platform engineers to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platformsTroubleshoot and debug user issuesProvide operational and user-facing documentationBe responsible for developing, cultivating, and nurturing the AI-driven culture within BrexRequirements
3+ years of professional experience in a software engineering role or equivalent experienceExperience working with backend programming languages, such as Kotlin, Python, etc.Experience building custom MLOps platform solutions based in business needsExperience leveraging and integrating industry MLOps solutions, such as AWS Sagemaker, Databricks, etc.Experience using LLM technologies such as langchain, LLM AIsFamiliarity with software engineering development cyclesAbility to hold yourself and the team to high standardsStrong communication and interpersonal skillsMust be willing to work in office 2 days per week on Wednesday and ThursdayBonus points
Experience driving initiatives at a broader level across an organization or companyStrong writing skillsProactive approachYou know what prompt engineering is and how to get the most out of an LLMCompensation
The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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