Lead/Principal AI Engineer

About Fincore

• At Fincore we’re on a mission to to build next-generation AI-native finance technology for enterprises
• Our core values - ownership, customer obsession, truth-seeking, and velocity - guide everything we do
• We are venture-backed and closely collaborate with seasoned technology, finance and AI leaders
• We maintain a small, talent-dense team of domain experts and technologists

What We're looking for

We are seeking an extremely talented, Lead to Principal-Level AI engineer to help us pioneer the future of finance and accounting. You must have experience building high-quality, complex, yet maintainable LLM apps and agents, and you should be able to do so in a fraction of the time that most competent people think is possible (in part because of your ability to wield the latest in code generation and intuition for prompt engineering). You must have a strong ability to collaborate with customers directly to build solutions tailored to their business needs.

Lead AI Engineer

• 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

Must-Have Skills

• 8+ years of experience building backend services in Python, Node.js, or similar
• 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

Good to have

• Top-tier institutes preferred (IIT's, NIT's etc.)
• Experience building fintech software
• Experience working in a large enterprise / big tech

Our Tech Stack: