Build Modular Machine Learning Agents

What You’ll Build

• 100+ modular agents (validation, deduplication, churn, uplift, marketing mix, etc.)
• Stateless, reusable logic wrapped in FastAPI or LangChain
• Agent registry, chaining, and demo flows
• Vertical bundles for finance, retail, healthcare
• A few fun “hook agents” (Data Roast, Plot Twist, Meme Generator)

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Skills You Bring

• Python wizardry: Pandas, NumPy, Scikit-learn, basic ML
• LLM fluency: Prompting, LangChain, OpenAI/Azure integration
• Data engineering lite: Can ingest CSVs, connect to Snowflake, mock datasets
• API & orchestration: FastAPI, LangChain tools, REST endpoints
• Frontend prototyping: Streamlit or basic React (bonus)
• Product intuition: Understand modular design, agent reuse, and client pain points
• Deployment: Can ship on Render, Azure, or Vercel

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What Success Looks Like

• 100 agents live in 6 months
• Demo flows for verticals (e.g., “Validate → Dedup → Segment → Forecast”)
• Agent registry with input/output contracts
• SaaS-ready backend with pricing tiers and usage tracking

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Compensation

• Competitive monthly rate or equity-based structure
• Bonus for hitting milestones (e.g., 25, 50, 100 agents live)
• Option to become founding engineer of spin-off SaaS

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Ideal Candidate

You’re a fast, curious, and scrappy builder who loves turning ideas into modular tools. You’ve built internal ML platforms, analytics engines, or SaaS products—and you want to help launch something bold, useful, and scalable.