Senior Software Engineer II

MX Technologies, Inc. • Lehi, UT

3d

About The Position

MX is a fintech company that builds technology to help banks, credit unions, and fintechs provide intuitive financial experiences. The Senior Software Engineer II will work on AI-driven features, designing automated test and evaluation systems for large language models and stateful AI graphs that orchestrate complex, multi-step processing of structured and unstructured data. The role also involves designing and delivering large-scale cloud architecture and translating experimental AI models into secure, observable, production-ready cloud services. MX describes its culture as valuing curiosity, accountability, impact, thoughtful execution, innovation, and individual ownership.

Requirements

• 8+ years of experience with software development in one or more programming languages, including data structures or algorithms (listed as preferred in the posting).
• 5+ years of experience testing, maintaining, or launching software products.
• Proven experience designing automated test and evaluation harnesses for LLMs, covering performance benchmarking, regression testing, and data quality across AI-driven features.
• Hands-on experience designing stateful AI graphs and orchestrating complex, multi-step LLM chains to parse, enrich, and process structured and unstructured data.
• Deep experience with large-scale cloud architecture (AWS/GCP), including microservices, serverless patterns, CI/CD automation, and high-availability design for enterprise SaaS products.
• Experience bridging R&D innovation with production engineering by converting experimental AI graph models into production-ready cloud services with enterprise-grade security and observability.

Nice To Haves

• 3 years of experience with software design and architecture.

Responsibilities

• Design automated test and evaluation harnesses for LLMs, including performance benchmarking, regression testing, and data quality checks for AI-driven features.
• Design stateful AI graphs and orchestrate complex, multi-step LLM chains to parse, enrich, and process structured and unstructured data.
• Design and build large-scale cloud architectures for enterprise SaaS products, including microservices, serverless patterns, CI/CD automation, and high availability.
• Convert experimental AI graph models into production-ready cloud services with enterprise-grade security and observability.
• Test, maintain, or launch software products.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed