AI Engineer III

About the job

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/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 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 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.