Related skills
zapier bigquery python langchain llm📋 Description
- Identify, build, and scale AI automation across internal ops
- Prototype MVPs using LLM APIs (Gemini, Anthropic) and agents (n8n/Zapier/Make)
- Develop production-grade internal apps with Python backends and robust frontends
- Design and implement RAG architectures and multi-step agent workflows
- Build automated evals to ensure AI outputs are reliable, accurate, and safe
- Use AI tooling to accelerate development and debug where needed
🎯 Requirements
- 5+ years in full-stack with Python and JavaScript/TypeScript
- 1+ year building LLM-backed tools: prompt engineering, API integration, and automated evaluations
- Experience with at least one orchestration/agent framework (LangChain, LangGraph, CrewAI, AutoGen)
- Familiarity with RAG architectures and vector DBs (Pinecone, Weaviate, pgvector)
- Experience with workflow platforms (n8n, Zapier, Make, Temporal, or Airflow)
- Cloud infra on GCP (Cloud Run/Functions, Vertex AI, Cloud Storage, IAM) or AWS/Azure
- Strong debugging skills; knowledge of data security practices relevant to AI (PII, HIPAA, SOC 2)
- Experience with BigQuery and advanced SQL
🎁 Benefits
- Equity included with role
- Flexible PTO and parental leave
- 100% paid-premium medical, dental, and vision insurance
- Lifestyle stipend for wellbeing
- Flexible remote work policy
- Remote and WFH options plus Dallas office for in-person
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