AI Engineer
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Key skills for this role
About the Role
SiFi is looking for an AI Engineer to join their Data & AI team and build AI-powered automation for corporate finance. The role involves designing and shipping AI features end-to-end, building LLM pipelines, RAG systems, and agent workflows.
Key Skills for This Role
Responsibilities
- Design and ship AI powered features end to end — from prompt engineering and model integration to backend APIs and frontend surfaces
- Build and maintain AI infrastructure for LLM inference, retrieval augmented generation (RAG), and structured data extraction from financial documents
- Develop autonomous agent workflows that automate finance operations such as expense categorization, receipt reconciliation, and policy enforcement
- Partner with the Data Engineering team to ensure AI systems are grounded in clean, trusted, and well modeled financial data
- Build internal tooling and evaluation frameworks to measure, monitor, and improve model performance in production
- Stay close to the state of the art and bring relevant techniques — fine tuning, tool use, multi agent orchestration — into SiFi's stack where they create real value
Requirements
- Strong engineering fundamentals across backend systems, APIs, and cloud infrastructure
- Hands on experience building with LLMs in production, including prompt design, RAG pipelines, structured extraction, or Agentic systems
- Comfort working with financial or compliance sensitive data
- A bias toward shipping — move fast, make pragmatic trade offs, and iterate based on real world feedback
- Low ego, high ownership
Full Job Posting
About Us
- SiFi is building the next generation Office of the CFO — a corporate expense management platform that gives accounting teams seamless control over company spending.
- We let companies issue cards with precise spending restrictions, automate expense workflows, and close books faster.
- As we scale, AI is becoming core to how we deliver financial intelligence, automation, and trust to our customers.
- We are a small, high ownership team. Everyone builds, everyone ships, and everyone is accountable for outcomes.
About the Role
- We are looking for an AI Engineer to join our Data & AI team and help us bring AI powered automation into the heart of corporate finance.
- You will work across the full stack — from LLM pipelines and agent workflows to the backend infrastructure and internal tooling that makes them production ready.
- This is a hands on, end to end role. You will own problems from prototype to production — in a domain where financial data is structured, high stakes, and unforgiving.
- You will work closely with Product, Engineering, Finance, and Operations to build AI features that make a direct impact on how hundreds of companies manage money.
What You'll Do
- Design and ship AI powered features end to end — from prompt engineering and model integration to backend APIs and frontend surfaces.
- Build and maintain AI infrastructure for LLM inference, retrieval augmented generation (RAG), and structured data extraction from financial documents.
- Develop autonomous agent workflows that automate finance operations such as expense categorization, receipt reconciliation, and policy enforcement.
- Partner with the Data Engineering team to ensure AI systems are grounded in clean, trusted, and well modeled financial data.
- Build internal tooling and evaluation frameworks to measure, monitor, and improve model performance in production.
- Stay close to the state of the art and bring relevant techniques — fine tuning, tool use, multi agent orchestration — into SiFi's stack where they create real value.
Requirements
- Strong engineering fundamentals across backend systems, APIs, and cloud infrastructure — you are comfortable owning the full lifecycle of a production AI feature.
- Hands on experience building with LLMs in production, including prompt design, RAG pipelines, structured extraction, or Agentic systems.
- Comfort working with financial or compliance sensitive data, where correctness and audit ability matter.
- A bias toward shipping — you move fast, make pragmatic trade offs, and iterate based on real world feedback.
- Low ego, high ownership: you are as comfortable debugging an edge case as you are proposing a new system architecture.
Nice to Have
- Familiarity with fin tech or expense management domains.
- Prior work at an early stage startup or in a small, high velocity team.
Why SiFi
- Work on AI problems that are genuinely hard: financial data is structured, high stakes, and unforgiving — the opposite of toy problems.
- Own meaningful surface area from day one on a lean team where your decisions shape the product.
- Competitive salary and equity.
- Flexible working environment.
- A front row seat to building a category defining fin tech from the ground up.
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