Why This Role Matters
LIUV's competitive advantage lives in the quality and reliability of its AI agents. This role is responsible for making the AI produce financial analysis that investors can trust — accurate valuations, sound reasoning, and transparent methodology.
Key Responsibilities
- Implement the multi-agent architecture using Claude API and Model Context Protocol (MCP)
- Build the DCF valuation engine and 10-pillar stock screening pipeline
- Design prompt engineering strategies for financial analysis
- Implement guardrails to prevent hallucination in financial recommendations
- Build evaluation frameworks to measure agent accuracy against known valuations
- Integrate real-time market data feeds
Ideal Candidate Profile
- 5+ years in ML/AI engineering
- Deep experience with LLM-based applications (not just research)
- Understanding of financial concepts (DCF, P/E ratios, balance sheets)
- Experience with multi-agent systems or orchestration frameworks
- Strong Python skills
- Bonus: experience with MCP, financial data APIs (Bloomberg, Refinitiv, Alpha Vantage)
What LIUV Offers
- Equity participation — details discussed individually with each candidate
- Competitive compensation — discussed during the interview process
- Remote-first, async culture with flexible schedules
- Ground-floor opportunity at an AI-native venture studio
- Direct impact on a product used by investors worldwide
- Work alongside a mission-driven team democratizing investment intelligence