Senior Software Engineer II
About The Position
MX is a fintech company that builds technology to help banks, credit unions, and fintechs deliver intuitive financial experiences. The company describes itself as being in a phase of renewed momentum and scale, with a focus on thoughtful execution, innovation, individual ownership, curiosity, accountability, and impact. The Senior Software Engineer II will develop and support software products and AI-driven features. The role calls for experience creating automated test and evaluation harnesses for large language models (LLMs), orchestrating stateful AI graphs and multi-step LLM chains, and building large-scale cloud architecture. The engineer will also bridge research and development with production engineering by turning experimental AI graph models into secure, observable, production-ready cloud services. MX is an Equal Opportunity Employer and is committed to recruiting and retaining a diverse and inclusive workforce. Applications from veterans and military spouses are particularly welcomed. Applicants may request reasonable accommodations by contacting [email protected].
Requirements
- Eight or more years of software development experience in one or more programming languages, including work with data structures or algorithms (listed as preferred in the posting).
- Five or more years of experience testing, maintaining, or launching software products.
- Proven experience designing automated test and evaluation harnesses for LLMs, including performance benchmarking, regression testing, and data quality for 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 on AWS or 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
- Three 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 evaluation across AI-driven features.
- Design stateful AI graphs and orchestrate complex, multi-step LLM chains to parse, enrich, and process structured and unstructured data.
- Build and support large-scale cloud architectures for enterprise SaaS products, including microservices, serverless patterns, CI/CD automation, and high-availability design.
- Convert experimental AI graph models into production-ready cloud services with enterprise-grade security and observability.
- Test, maintain, or launch software products.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
