Software Engineer; Onsite - AZ
Listed on 2026-06-15
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Software Development
Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Software Engineer
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, Dynamo
DB, 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
- 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
- Experience in financial services, consulting, or complex workflows
- Exposure to vector databases / embeddings / AI pipelines
- Experience building human‑in‑the‑loop systems
- AI solutions are actively used by teams and drive efficiency
- Workflows become faster without compromising accuracy or control
- Systems balance automation with human judgment
- 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.
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