Description

What's the Job?

• The FDE will meet with stakeholders, design the solution themselves, build the backend, build and deploy GenAI/RAG systems, make architecture decisions, handle production issues, optimize performance and scale; and own the project from start to finish.
• 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?

• 7+ years of experience in Ai engineering
• Production GenAi/Agentic Ai experience 
• Typescript, Go, Python experience
• Distributed systems
• Cloud (AWS/GCP) 
• RAG production implementation
• Kubernetes
• Kafka
• Event-driven architecture
• Frameworks: LangChain, LangGraph
• Architecture, Scale & Performance Optimization experience

Key Skills

Education

Any Graduate