Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
Yesterday
AWSGoogle CloudLLMPythonKubernetesTypeScriptRAG
Job Description
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, TypeScript, Kubernetes, AWS/Google Cloud Platform, 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 at scale. You'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
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This is an excellent opportunity for engineers who want to move beyond experimentation and help deliver AI solutions at scale. You'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 TypeScript
- Experience building and maintaining APIs and backend services
- Familiarity with AWS and/or Google Cloud Platform 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
- 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
- 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.
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