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# Engineer, Software Quality

- **Company:** GREYMATTER INNOVATIONZ LLC
- **Location:** Baltimore, MD, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Audit Trail, Microsoft Azure, Software Quality, Information Engineering, Payment Systems, Fraud Prevention and Detection, Python (Programming Language), PCI Data Security Standards, Software Engineering, SQL Databases, Pytorch, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Apache Spark, Backend, Agentic-AI, Kubernetes, Xgboost, Machine Learning Operations, Data Pipelines, Databricks, Microservices
- **Published:** November 2, 2026
- **Apply:** https://www.juju.com/job/18_2757_50292540

## About the Role

* 6+ years shipping production software; 3+ in a single industry across functions / horizontals
 * Hands-on across backend, data and ML/LLM systems
 * Track record of client-facing delivery to production
 * Clear communicator from engineers to Leadership Stakeholders
 * Builds with AI tools daily; quick to adopt new ones

Preferred

 * Built fraud, disputes or reconciliation platforms at a PSP, bank or network
 * Shipped LLM agents in a regulated environment
 * Prior Forward Deployed Engineer or Data Science role experience
 * Experience with payment hubs or core banking (FIS, Fiserv, ACI)

## Description

* Own delivery end to end: from discovery and success metrics to production go-live.
 * Shape the solution: turn ambiguous client problems into clear architectures, roadmaps and scoped use cases.
 * Build production systems: services, data pipelines and integrations with payment platforms.
 * Deploy AI and agents: fraud and risk models, dispute automation, reconciliation agents.
 * Accelerate with AI: use AI assistants and automation to speed delivery, picking the best tool for the job.
 * Engineer for compliance: PCI DSS, data privacy and auditability by design.
 * Champion the customer: be the client's trusted partner, responsive, accountable and focused on their success.
 * Sell and ideate with leadership: co-create AI strategy with senior executives, pitch solutions and grow the account.

TECHNICAL SKILLS

 * Software Engineering: Python, Java or Go; APIs and microservices; Kubernetes; AWS/GCP/Azure
 * Data Engineering: SQL, Spark/Databricks, Snowflake; streaming pipelines; Workflow Automation
 * AI / ML: Statistics, DIPP Analytics; Fraud & Risk Modeling (XGBoost, PyTorch); MLOps;
 * Agentic AI: RAG, tool calling, multi-agent orchestration (LangGraph, MCP); evals and guardrails
 * Payments: Card networks, ISO 8583/20022, ACH, RTP, SEPA, SWIFT; settlement; PCI DSS, KYC/AML