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.

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.

• 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

• 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 Lang Chain, Llama Index, or custom AI agents
• Thinks in tradeoffs and knows when to use closed vs. open models
• Strong product thinking and a bias toward action

• 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