Founding AI Engineer
About The Position
Vantager is seeking a passionate and experienced Founding AI Engineer. This role is perfect for a self-driven software engineer who's excited about large language models and ready to make a significant impact in the investment space. At Vantager, you'll work alongside some of the brightest minds in the industry, tackling challenging problems and making a real impact. If you're passionate about the intersection of AI and financial data, and eager to grow in a dynamic and supportive environment, Vantager is the place for you. We're looking for independent, and ambitious talent who are ready to push the boundaries of what's possible and redefine the investment landscape. Join us, and together, let's build something extraordinary.
Requirements
- 3+ years of software engineering experience, with strong proficiency in our tech stack: TypeScript, Python, FastAPI, and relational databases (MySQL/Postgres)
- Demonstrated expertise in building, deploying, and iteratively improving LLM applications
- Strong understanding of AI and RAG concepts, including prompting, retrieval systems, structured output, vector databases, embedding models, and LLM fine-tuning techniques
- Self-motivated with excellent problem-solving and communication skills
- Passionate about staying current with AI and LLM advancements
- Experience in rapid prototyping and agile development methodologies
Nice To Haves
- Degree from a top-tier university in Computer Science, AI, or a related field
- Experience in the finance, trading, or investment sectors
- Knowledge of data science and/or financial analysis
- Contributions to open-source AI or LLM projects
- Experience with cloud platforms (AWS), serverless architecture, and Docker
- Previous experience at a startup or small-mid sized company
Responsibilities
- Architect and develop our AI-native platform, taking ownership of product and features
- Work directly with the CEO and CTO on critical product and technology decisions
- Deliver best-in-class financial task performance via LLM and RAG system optimization
- Implement a systematic approach to instrument, observe, and continuously improve our AI systems, including designing evaluation metrics and testing infrastructure
- Experiment with and lead the development of retrieval systems for efficient ingestion, processing, and generation of both structured and unstructured financial data
- Stay at the forefront of AI advancements, continuously improving our platform's capabilities and identifying new application areas for LLMs within the investment process
Benefits
- 0.5% - 1.5% equity
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
