SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
MX is a fintech company building technology that empowers banks, credit unions, and fintechs to deliver smarter financial experiences. The company is in a phase of renewed momentum and scale with a solid foundation and clear vision for growth.
You will join as a Senior Software Engineer II, working on production-grade AI-driven financial services. This role bridges R&D innovation with production engineering, converting experimental AI graph models into enterprise-ready cloud services. You'll design and implement stateful AI graphs, orchestrate complex multi-step LLM chains to parse and process structured and unstructured financial data, and ensure these systems meet enterprise-grade security and observability standards.
Key responsibilities include:
- Designing automated test and evaluation harnesses for LLMs, ensuring performance benchmarking, regression testing, and data quality across AI-driven features
- Architecting and implementing stateful AI graphs and orchestrating complex, multi-step LLM chains for data processing
- Leveraging large-scale cloud architecture (AWS/GCP) with microservices, serverless patterns, and CI/CD automation
- Building high-availability systems for enterprise SaaS products
- Converting experimental AI models into production-ready services with enterprise-grade security and observability
The culture values curiosity, accountability, and impact. You'll have real ownership over your work, space to question assumptions, and the opportunity to influence outcomes as the company scales.
REQUIREMENTS:
- 8+ years of software development experience in one or more programming languages with data structures or algorithms (preferred)
- 5+ 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 assurance
- Hands-on experience designing stateful AI graphs and orchestrating complex, multi-step LLM chains for parsing, enriching, and processing 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
- Experience bridging R&D innovation with production engineering, converting experimental AI models into production-ready cloud services with enterprise-grade security and observability
- Preferred: 3+ years of software design and architecture experience
