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1 Vacancy
AI Engineer LLMs & RAG Fintech Platform
Compensation: $k
Location: San Francisco
Were a seedstage fintech startup on a mission to reinvent private wealth management. Traditionally reserved for ultrahighnetworth individuals and their armies of advisors were building a platform that democratizes access to venture capital private equity and sophisticated financial services powered by AI. With a live product paying customers and strong early traction were productizing what legacy private banks still do manually. If youre passionate about disrupting dusty institutions with sleek intelligent systems we should talk.
Impact from Day One: Help build the foundational AI stack of a startup already generating revenue.
Frontline AI Innovation: Work handson with GPT4 Claude Llama 3 and build RAG and agent architectures from scratch.
FastMoving Environment: Join a tightknit team where decisions are made quickly and your code ships even faster.
Ownership: Youll own technical decisions roadmap contributions and the full lifecycle of the AI features you build.
Momentum Resources: Were funded by toptier investors and run lean which means long runway high autonomy and zero bureaucracy.
LLMFirst Engineering: Design and deliver features using GPT4 Claude and other cuttingedge LLMs.
RAG Optimization: Build and tune our RAG pipeline and hybrid search systems for financial data retrieval.
AI Agents: Build autonomous agents for investment analysis portfolio planning and more.
FullStack AI Delivery: Own everything from architecture to deployment to documentation.
Collaborate CrossFunctionally: Work closely with design product and business to translate messy finance into clean user experiences.
Stay Ahead: Experiment with and implement the latest in AI (Tree of Thoughts Constitutional AI LangGraph etc..
Team Building: Contribute to growing the AI/ML function as the company scales.
Degree in Computer Science AI/ML or related field.
3 years in software engineering with 1 year handson with modern LLMs (or 3 years in AI/ML overall).
Strong grasp of:
Python TypeScript
LangChain LangGraph Pinecone
RAG architectures and hybrid search optimization
AI agent orchestration using LangChain AutoGen or CrewAI
Multimodal data processing (structured data numerical and text)
Prompt engineering techniques like ChainofThought Constitutional AI
Experience building productionready AI systems not just toy projects.
High bar for technical communication documentation and engineering quality.
Startup scars or superpowers ideally youve owned 01 projects in chaotic ambiguous environments.
Willingness to work hard: This team runs 9am9pm 6 days a week. Theres flexibility but the hustle is real.
Get excited by shipping highimpact features fast.
Prefer building in the wild west of early startups vs. optimizing in big orgs.
Love both writing code and designing systems.
Want to shape the future of AIpowered finance not just watch from the sidelines.
Can handle ambiguity and autonomy like a pro.
Are cool with showing up in SF most days or traveling frequently to hang with the crew.
Tech Stack Overview:
Backend: / TypeScript (AWS Lambda Express)
Frontend: React
Infra: AWS
AI Backend: Python FastAPI LangChain LangGraph
Vector Store: Pinecone
If youve shipped something meaningful with LLMs have a deep sense of ownership and want to help reshape financial services from the inside out were ready when you are.
Location: San Francisco Compensation: $170000$220000 Startup Stage: Seed
Full Time