Intermediate Forward-Deployed Engineer: AI & Automation

Axos Bank; San Diego (CA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Vacation & Holidays

401(k) with Employer Match

Mortgage Loan Program

Self-Directed Trading Account

Job summary

Axos Bank is seeking an Intermediate Forward Deployed Engineer to rapidly ship production-grade internal tooling. You’ll partner with product, operations, and business teams to map workflows, then build automation, dashboards, and integration layers using Retool, n8n, and C#/.NET to connect core banking systems.

Expect fast iteration and close user collaboration to refine solutions. The role emphasizes designing scalable data models in SQL Server, integrating LLM/AI components, and delivering

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 3-5+ years of experience building internal tools/automations with Retool, n8n (or similar: Zapier, Make, Appsmith, OutSystems)
• Practical experience integrating LLMs/AI models (e.g., via API - OpenAI, Anthropic, Groq, etc.) into real workflows, not just prototypes
• Strong SQL skills and comfort designing schemas in Microsoft SQL Server - normalization, indexing, query optimization
• Solid, hands-on experience with C# / .NET, both consuming third-party APIs and designing/building internal ones
• Comfortable working directly with non-technical business stakeholders; can translate a vague operational pain point into a technical spec with minimal oversight
• Bias toward shipping: comfortable with ambiguity, fast iteration, and being embedded in the business rather than working from a backlog
• Basic-to-strong scripting ability (Python or JavaScript/TypeScript) for glue code, custom n8n nodes, or Retool custom components

Responsibilities

• Sit with business/operations stakeholders to map current-state workflows and identify where automation, tooling, or AI can remove manual effort or risk
• Design and build production-grade internal applications and dashboards in Retool for case management, review queues, approvals, and operational visibility
• Architect and maintain n8n workflows to orchestrate data movement, notifications, approvals, and system-to-system integrations, including robust error handling and alerting
• Integrate LLM/AI components (classification, extraction, summarization, triage) into operational workflows, with attention to accuracy, cost, and failure handling
• Design and consume APIs to connect internal tools with core banking, LOS, CRM, and third-party systems
• Design and manage Microsoft SQL Server schemas - tables, relationships, keys, indexing strategy - for new and existing internal tools, alongside query and stored-procedure optimization
• Design, build, and maintain C# API integration layers (REST services, middleware, authentication, data transformation) connecting Retool/n8n to core systems
• Own solutions end-to-end: prototype to pilot with real users to harden to document to hand off or maintain
• Rapidly iterate based on direct user feedback rather than working from a fixed spec
• Identify when a lightweight (Retool/n8n) solution is sufficient versus when a problem needs custom application code, and make that call
• Review code and designs from junior engineers and help enforce engineering standards
• Ensure solutions meet the bank's security, data governance, and compliance requirements

Skills

Retool

n8n

LLMs/AI integration

C# / .NET

SQL

Education

Bachelor's degree in CS/Engineering/IS

Tools

Microsoft SQL Server

REST APIs

Job description

Axos Bank is seeking an Intermediate Forward Deployed Engineer to rapidly ship production-grade internal tooling. You’ll partner with product, operations, and business teams to map workflows, then build automation, dashboards, and integration layers using Retool, n8n, and C#/.NET to connect core banking systems.

Expect fast iteration and close user collaboration to refine solutions. The role emphasizes designing scalable data models in SQL Server, integrating LLM/AI components, and delivering