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python typescript rag llm pinecone📋 Description
- Design and implement LLM-powered systems for multi-step reasoning in compliance.
- Develop agentic workflows using retrieval, tools, and human oversight.
- Create interactive AI experiences for complex compliance data.
- Build AI that reasons over structured and unstructured data for regulations.
- Architect and deploy scalable LLM, retrieval, and agent systems.
- Ensure AI outputs are traceable, explainable, and auditable.
🎯 Requirements
- 5+ years software engineering; 2+ years ML/AI.
- Python proficiency; TypeScript a plus.
- Vector DBs (Pinecone, Chroma, FAISS) and RAG design.
- LLM-based apps in production; embeddings, RAG, agents, prompts.
- Production-ready, scalable, maintainable AI systems.
- Problem solving; cross-functional with product, compliance, security.
🎁 Benefits
- Equity and ownership via RSUs.
- Employer-paid health/dental/vision for you and dependents.
- 401(k), life and disability insurance, tax-advantaged accounts.
- Parental leave and family-building benefits.
- Growth stipends and internal learning opportunities.
- Flexible vacation policy and holidays.
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