Description

What's the Job?

• Design, build, and ship LLM-powered and agentic product features that transform customer financial management experiences.
• Develop agentic AI systems capable of reasoning over context, invoking tools, executing real actions, and recovering from failures gracefully.
• Architect and implement production-grade Retrieval-Augmented Generation (RAG) pipelines over sensitive financial data, ensuring correctness, auditability, and safety.
• Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tools that support scalable agentic development.
• Own the systems you build in production, focusing on reliability, latency, cost efficiency, and failure management.

What's Needed?

• 5+ years of software engineering experience, including hands-on experience with LLMs or applied ML systems in production environments.
• Proven track record of shipping AI-powered or agentic systems relied upon by real users.
• Strong fundamentals in backend systems, APIs, data pipelines, and cloud infrastructure.
• Experience with modern LLM tooling, agentic patterns, and architectures.
• Excellent ownership, technical judgment, and ability to operate effectively amid ambiguity

Key Skills

Education

Any Graduate