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AI ML Engineer Data Scientist

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Job Location drjobs

California, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

AI Engineer LLMs & RAG Fintech Platform
Compensation: $k
Location: San Francisco

Who Are We

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.

Whats In It for You

  • 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.

What Will You Do

  • 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.

What Will You Need

  • 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.

Youre Probably a Fit If You...

  • 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.


AI/ML Engineer VCBacked Fintech Startup

Whats In It for You

Location: San Francisco Compensation: $170000$220000 Startup Stage: Seed

  • Ownership and impact as a founding engineer (team of five) driving AIpowered financial products from the ground up
  • Cuttingedge technology working with LLMs RAG architectures AI agents and multimodal AI in a startup with real users and revenue
  • A wellfunded startup that is already profitable providing both stability and startup upside
  • Highcaliber team with exFAANG YC founders and toptier engineering talent in an environment that values speed and ownership
  • Competitive compensation with equity

Employment Type

Full Time

Company Industry

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