Ai Engineer Jobs

About The Position

Requirements

• At least 4 years of professional software engineering experience.
• Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems, professionally or through projects.
• Solid engineering fundamentals in at least one backend language: Python, Go, or TypeScript.
• Familiarity with APIs, basic cloud concepts, and modern development practices.
• Interest in agentic AI systems, autonomy, and AI-assisted development workflows.
• Willingness to learn, take feedback, and grow technical ownership over time.
• Comfort working in collaborative, cross-functional teams.
• A strong customer mindset and curiosity about real-world problem solving.
• Bachelor’s degree required.

Nice To Haves

• Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
• Internship or early-career experience in fintech or another regulated environment.
• Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.

Responsibilities

• Contribute to the design and implementation of LLM-powered and agentic product features.
• Build and extend agentic AI workflows that reason over context, call tools, and perform actions under senior-engineer guidance.
• Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, emphasizing correctness and safety.
• Contribute to shared AI infrastructure, including LLM services, orchestration components, and evaluation or monitoring tooling.
• Help operate AI systems in production by monitoring, debugging, and improving reliability and performance.
• Collaborate with product and design partners to translate customer needs into technical solutions.
• Use AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring while maintaining production-quality standards.