AI Applied Engineer

Our client is a fast-growing fintech startup on a mission to help people make smarter financial decisions through intelligent, AI-native tools. Backed by top-tier investors and led by seasoned entrepreneurs with deep domain expertise, the team is focused on building real-world, high-impact features powered by foundation models.

About the Role
We’re looking for a versatile AI engineer with hands-on experience integrating LLMs into production systems. This is an opportunity to join a small, nimble team where you’ll own core features from concept to launch, helping turn large language models into fast, reliable, and cost-effective user experiences.

Key Responsibilities

• Build LLM-powered features such as chatbots, summarization tools, and smart autofill

• Select appropriate models (e.g., GPT-4, Claude, open-source) based on accuracy, latency, and cost

• Optimize prompts, manage token usage, and apply techniques like Retrieval-Augmented Generation (RAG)

• Connect models to real-world data via APIs, databases, and user context

• Collaborate across engineering and product to ship experiments quickly and iterate based on user feedback

• Stay on top of the latest trends in foundation models, developer tooling, and AI infrastructure

Ideal Candidate

• Has shipped LLM features in production and understands the nuances of deploying them at scale

• Familiar with OpenAI, Anthropic, Mistral, and similar APIs

• Experienced in vector databases and RAG frameworks (e.g., Pinecone, FAISS)

• Comfortable writing glue code in Python

• Bonus: Hands-on with LangChain, LlamaIndex, or custom AI agents

• Thinks in tradeoffs and knows when to use closed vs. open models

• Strong product thinking and a bias toward action

Why Join?

• Join a mission-driven company solving real problems with AI

• Work with a highly experienced founding team and top-tier investors

• Competitive compensation and meaningful equity

• Comprehensive health, dental, and vision benefits

• Remote-first team culture with high ownership and autonomy