Staff Software Engineer (Onsite - AZ)

MOGEL; Scottsdale (AZ); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

Full benefits package including medical, dental, vision, and 401(k) with employer match

Job summary

MOGEL in Scottsdale, Arizona, seeks a Staff Software Engineer to focus on AI systems for financial platforms, applying large language models and agentic AI.

The role includes backend service development, collaboration with experts, and delivering efficient AI solutions. Candidates should have 8–12 years of experience, strong backend skills, and AWS familiarity.

Full benefits package is included, along with a competitive salary of $150,000 – $170,000 and a hybrid work schedule.

Qualifications

• 8–12 years of software engineering experience.
• Strong backend development skills in Python, Java, or similar.
• Experience working with non-technical stakeholders.

Responsibilities

• Partner with business/domain experts to analyze workflows.
• Develop AI systems with human review steps.
• Design backend services on AWS.

Skills

Backend development (Python, Java)

Working with domain experts

Exposure to AI systems

AWS experience

Basic knowledge of React

Tools

Docker

Postgres

DynamoDB

Job description

Staff Software Engineer – AI Systems (Financial Platforms)

Location: Scottsdale, Arizona

Schedule: In‑office Monday through Friday, with approximately one work‑from‑home day per month

Compensation: $150,000 – $170,000 base salary plus bonus potential

Benefits: Full benefits package including medical, dental, vision, and 401(k) with employer match

This role focuses on applying large language models and agentic AI to real‑world business processes. You will work closely with domain experts to transform complex workflows into AI‑driven systems with Human‑in‑the‑Loop (HITL) controls, enhancing efficiency while preserving critical human judgment.

Key Responsibilities

• Partner with business/domain experts to analyze and redesign complex workflows
• Build agentic AI systems with clear human review and approval steps
• Develop RAG pipelines and vector‑based retrieval systems
• Design and deploy backend services (Python / APIs) on AWS
• Work with Lambda, APIs, and databases (Postgres, DynamoDB, etc.)
• Containerize and deploy services using Docker
• Build simple React interfaces for human review and approvals
• Monitor AI systems, improve performance, and iterate in production
• Focus on real adoption and measurable impact, not just delivery

What We’re Looking For

• 8–12 years of software engineering experience
• Strong backend development skills (Python, Java, or similar)
• Experience working with non‑technical stakeholders or domain experts
• Exposure to LLMs / AI systems in production (RAG, prompt engineering, etc.)
• Experience with AWS (Lambda, API Gateway, S3, IAM)
• Familiarity with workflow automation tools (N8N, UiPath, etc.) is a plus
• Basic knowledge of React for building internal tools
• Comfortable working in ambiguous, evolving problem spaces

Nice to Have

• Experience in financial services, consulting, or complex workflows
• Exposure to vector databases / embeddings / AI pipelines
• Experience building human‑in‑the‑loop systems

What Success Looks Like

• AI solutions are actively used by teams and drive efficiency
• Workflows become faster without compromising accuracy or control
• Systems balance automation with human judgment

Why Join

• Work on cutting‑edge AI (LLMs + agentic workflows)
• High visibility role with direct impact on business outcomes
• Strong collaboration with domain experts and leadership
• Opportunity to shape how AI is applied in real‑world workflows

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics.