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Staff AI Engineer

MX Technologies

Recently Verified
ML EngineeringFintechLead (10+ yrs)On-siteFintech Startup

Perfect for senior ML engineers with LLM/RAG expertise who want to apply those skills within fintech and regulated financial data infrastructure.

AI β†’ Finance

Location

Lehi, UT

Posted

Mar 22, 2026

Insider Signals

Beta
πŸ“ŠActive Hiring

MX Technologies has had 6 hiring events in the last 30 days β€” they're actively building.

Company AI Context

AI Maturity

established

Tech Stack

pythonlangchainlanggraphvertexaibigqueryrag-frameworks

Recent News

MX Technologies powers financial data connectivity for 2,000+ financial institutions, expanding its AI-driven financial data enrichment and open banking platform in 2025.

Build production RAG pipelines and LLM systems that power financial data experiences for banks and credit unions at MX Technologies.

## About the Role MX Technologies builds data-driven financial experience technology for banks, credit unions, and fintechs. As a Staff AI Engineer, you will architect and scale production AI/ML systems that power financial data services for regulated environments β€” including RAG pipelines, LLM gateways, and agentic workflows that safely interact with financial APIs. ## Responsibilities - Architect and scale production RAG (Retrieval-Augmented Generation) pipelines for financial data - Implement LLM gateways handling provider failover, load balancing, and prompt caching - Apply Supervised Fine-Tuning (SFT) and model pruning techniques - Manage dynamic context windows and build agentic workflow frameworks - Enable LLMs to safely interact with financial APIs within PCI-regulated environments - Provide technical leadership and training to product engineering teams - Enforce security controls: access controls, output validation, and integrity measures - Build automated evaluation frameworks to catch hallucinations before customer impact ## Requirements - Demonstrated experience designing systems that capture production feedback for ground-truth datasets - Expertise with BigQuery and VertexAI - Production experience with Python, LangChain, and LangGraph - Experience tuning and monitoring models in production - Experience in PCI or other highly regulated environments - Nice to have: AWS Bedrock, SageMaker, data engineering experience

Skills & Technologies

RAGLangChainLangGraphVertexAIBigQueryLLMsPythonPCI Compliance

Best Backgrounds

  • ML engineering
  • LLM systems
  • backend engineering
  • data engineering

Related Titles to Explore

  • Senior ML Engineer
  • Principal AI Engineer
  • LLM Platform Engineer
  • AI Infrastructure Engineer

Career Bridge Playbook

Beta

Career paths into this role

Senior ML Engineer
AI Platform Engineer
Senior Software Engineer with ML experience
LLM Application Developer

Where this role leads

Principal Engineer
Head of AI/ML
VP Engineering - AI

Transition Difficulty

high

Key Skill Gaps to Close

  • PCI compliance and financial data regulations
  • financial API integration patterns
  • RAG at production scale
  • LLM gateway architecture

Skills used in this role

Technical

pythonraglangchainlanggraphvertexaibigqueryllmspci-compliance

Domain

financial-data-servicestransaction-enrichmentbanking-api-integrationregulated-aiopen-banking

Soft Skills

technical-architectureengineering-leadershipstandards-setting

Interested in this role?

Apply directly on the company's career page.

Apply Now

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