AI Engineer III

Phoenix , Arizona Onsite Full  Time $120k - $180k A financial technology organization is hiring an AI Engineer III – Agentic AI to join its growing engineering team. This full-time opportunity focuses on building production-grade AI systems powered by LLMs, agentic workflows, and cloud-native infrastructure.

You'll work with technologies including Python, Go, Type Script, Kubernetes, AWS/GCP, and modern AI tooling while developing systems that operate on real financial data and support customer-facing products.
This is an excellent opportunity for engineers who want to move beyond experimentation and help deliver AI solutions 'll gain exposure to agentic architectures, retrieval-augmented generation (RAG), evaluation frameworks, and production operations while working alongside experienced engineers in a highly collaborative environment. The team is looking for someone who enjoys learning, solving complex problems, and helping shape the future of AI-powered financial products.

Required Skills & Experience
4+ years of professional software engineering experience Strong proficiency in Python, Go, or Type Script Experience building and maintaining APIs and backend services Familiarity with AWS and/or GCP cloud environments Understanding of modern software development practices and distributed systems Hands-on experience building AI-powered features, LLM applications, or ML-driven products Experience collaborating within cross-functional engineering teams Strong problem-solving abilities and customer-focused mindset
Desired Skills & Experience Experience building agentic AI applications or autonomous workflows Knowledge of retrieval-augmented generation (RAG) architectures Exposure to vector databases, embedding pipelines, and semantic retrieval systems Familiarity with agent orchestration frameworks and evaluation tooling Experience working in fintech or other regulated environments Contributions to open-source software, hackathons, or personal AI projects Understanding of structured outputs, schema validation, and governance controls
What You Will Be Doing Design and implement LLM-powered product capabilities Build agentic workflows that reason over context, utilize tools, and execute actions Develop and maintain RAG pipelines for financial datasets Contribute to shared AI platforms, orchestration services, and monitoring solutions Improve reliability, performance, and observability of production AI systems Partner with product and design teams to turn customer needs into technical solutions Support responsible AI development through robust security, auditability, and governance practices
The Offer Medical, Dental, and Vision Insurance Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.