Staff AI Engineer at MX Technologies

Staff AI Engineer

MX Technologies, Inc.

Lehi, Utah, United States

About MX

MX is a fintech organization dedicated to strengthening financial wellbeing globally. The firm develops technology enabling banks, credit unions, and fintechs to deliver enhanced financial experiences. The company has navigated growth challenges and now operates with renewed momentum and scale while valuing curiosity, accountability, and meaningful impact.

Role Summary

The Staff AI Engineer serves as a technical multiplier and strategic collaborator in leveraging AI for financial empowerment. This engineer will lead production AI system design while facilitating safe, seamless AI adoption across the organization. The company seeks builders and collaborators rather than pure research scientists.

Key Responsibilities

Production RAG Systems: Architect and scale Retrieval-Augmented Generation pipelines optimizing precision and recall with financial data complexities

LLM Orchestration & Governance: Implement gateways handling provider failover, load balancing, and prompt caching; manage cost, latency, and availability metrics

Model Optimization & SFT: Identify supervised fine-tuning opportunities; determine pruning requirements and synthetic data curation approaches

Context Engineering: Manage dynamic context windows preventing token budget overruns and "lost in the middle" phenomena

Agentic Workflows: Design frameworks enabling safe LLM interactions with financial APIs within strict guardrails

Technical Leadership: Provide training and guidance to product engineering teams

Security: Enforce access controls, output validation, integrity, and non-repudiation with LLMs

Evaluation Frameworks: Build automated assessment systems (LLM-as-a-judge) detecting hallucinations before customer exposure

Culture & Leadership Expectations

Navigate hype cycles with judgment, execute calculated risks with mitigation plans

Treat technologists and product managers as primary customers; build abstractions making correct approaches easy

View security and privacy controls as enabling infrastructure; flag risks honestly and own mistakes

Required Qualifications

Experience designing systems capturing production feedback for ground truth datasets

Expertise with BigQuery and VertexAI

Production Python, LangChain, and LangGraph experience

Model tuning and production monitoring experience

PCI or other highly regulated environment experience

Nice-to-Have

AWS Bedrock and SageMaker experience

Data engineering background

Work Environment & Benefits

Lehi office offers company-paid meals, massage services, sports simulator, gym facilities, mother's lounge, and meditation space. MX encourages office collaboration for major initiatives while supporting flexible arrangements. MX is an equal opportunity employer.