
**Pioneer of AI Innovation**
6 days ago
About Our Organization
- We are a mission-driven group that focuses on building next-generation AI-native finance technology for enterprises.
- Our core values - ownership, customer obsession, truth-seeking, and velocity - guide everything we do.
- We collaborate closely with seasoned technology, finance, and AI leaders.
- We maintain a small, talent-dense team of domain experts and technologists.
Job Overview
We are seeking an extremely talented Lead to Principal-Level AI engineer to help us pioneer the future of finance and accounting. The ideal candidate must have experience building high-quality, complex, yet maintainable LLM apps and agents, and should be able to do so in a fraction of the time that most competent people think is possible.
The successful candidate will:
- Architect and build the core AI platform that powers finance and accounting solutions.
- Design, develop, and productionize large-scale LLMs, RAG pipelines, and autonomous agents.
- Define and enforce best practices for prompt engineering, model fine-tuning, and evaluation.
- Mentor and grow a team of AI engineers, guiding technical design reviews and code quality.
- Partner closely with Product, Data, and Customer teams to translate finance use cases into robust, scalable solutions.
Required Skills and Qualifications
To succeed in this role, you must have:
- 8+ years of experience building backend services in Python, Node.js, or similar technologies.
- Deep experience and intuition with LLMs.
- Cutting-edge knowledge of code generation and prompting techniques.
- Experience building agents and tooling for agents.
- Expertise in API design (REST, GraphQL) and relational databases.
- Strong problem-solving, communication, and collaboration skills.
Desirable Skills
While not required, having these additional skills would be beneficial:
- Top-tier institute education.
- Experience building fintech software.
- Experience working in a large enterprise / big tech environment.
Tech Stack
We utilize NextJS, Python, LangGraph, AWS, Neo4j, PostgreSQL, and MongoDB in our technology stack.
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