AI Software Engineer IV

The next part of your journey is right around the corner — with The Standard.

A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?

Job Summary

The Standard is hiring an AI Software Engineer IV to design, build and ship full-stack features across our web platform for web-based AI products. As a senior individual contributor, you will solve complex problems end to end, from data model and API through to the user interface, while supporting the DevOps practices, cloud infrastructure and data platform integrations needed to run reliable production systems. You will set the technical direction for the systems you touch, raise the quality bar through code review and mentorship, and partner closely with product, design, data science, machine learning and engineering teams to deliver software that customers depend on.

This is a fully remote role open to candidates based in the United States. We collaborate asynchronously and value clear written communication.

Key Responsibilities:

• Design and build full-stack features, taking ownership from technical design through implementation, testing, deployment and ongoing operation.

• Develop responsive, accessible user interfaces and the backend services and APIs that power them.

• Lead the technical design of medium-to-large projects and break them into clear, actionable work for the team.

• Write well-tested, maintainable code and uphold engineering standards through thorough code review.

• Improve the performance, reliability, scalability and operability of the systems you own, including cloud infrastructure, deployment workflows and reduction of operational toil. Mentor engineers, share knowledge and help grow the technical skills of the team.

• Collaborate with product managers and designers to scope requirements and translate them into shippable solutions.

• Participate in an on-call rotation and contribute to a strong culture of operational excellence.

• Collaborate with Data Scientists and Machine Learning Engineers to make their models fast, accessible, transparent, and safe.

• Support reliable integrations with Azure Databricks, DevOps tooling and related data platform services where needed.

Skills and Background You’ll Need

Education: A Bachelor’s degree in Software Engineering, Computer Science or Information Systems, or equivalent experience as a substitute, is required. At this level, graduate coursework may be desirable.

Experience: 8+ years of professional software engineering experience building and operating production web applications.

• Strong proficiency across the stack, including a modern frontend framework (preferably Angular) and a backend language (for example, Node.js or Python).

• Strong skills in implementing Python API design patterns using frameworks like FastAPI or Flask.

• Solid experience designing APIs and working with relational and non-relational databases and graph databases such as Neo4j.

• Demonstrable experience in configuring and implementing Azure Application Gateway and API management solutions like Azure API Management or Kong Konnect.

• Hands-on experience implementing and optimizing API applications for sub-second performance.

• Experience in load testing REST API applications with tools like Apache JMeter or SOAPUI.

• Experience in developing API applications to include package/dependency management tools (e.g., Poetry) and functional testing (e.g., Pytest, PyLint).

• A track record of leading projects, making sound architectural decisions and delivering on time.

• Experience with cloud infrastructure, DevOps practices and infrastructure management, preferably using Azure and Terraform.

• Working knowledge of data engineering concepts, including Databricks, MLflow and production data pipelines.Experience with cloud WAF configuration (Imperva, Azure WAF or similar) and API security policies like OAuth2/OIDC, JWT.

• Experience building and maintaining CI/CD pipelines and Git-based release workflows using Azure DevOps, GitHub Actions, ArgoCD or similar tools.

• Working within an Agile delivery / DevOps methodology to del