Related skills
python langchain langgraph openai vector databases📋 Description
- Build and deploy agentic AI solutions enabling autonomous task completion across business functions.
- Develop reusable AI libraries and SDKs to accelerate product discovery and empower engineering teams.
- Build specialized AI tools that transform manual workflows into efficient automated processes.
- Design and implement smart internationalization libraries that enhance global user experiences.
- Create and optimize RAG systems to make company knowledge instantly accessible.
- Develop scalable orchestration frameworks for AI agents to handle complex business processes.
🎯 Requirements
- Software engineering fundamentals.
- Experience with Python and AI/ML frameworks.
- Cloud platforms basics (GCP preferred; AWS/Azure acceptable).
- Experience with an AI provider API (OpenAI, Anthropic, or Google Gemini).
- Familiarity with LangChain or LangGraph (LLM orchestration).
- Understanding of AI agents, automation concepts, and vector databases.
🎁 Benefits
- Flexible working with Responsible PTO for work-life balance.
- Mental health support: up to 12 therapy sessions per year plus dependent coverage.
- RSUs with a 3-year vesting schedule (Board approval).
- Coursera subscription and PXA courses for growth.
- Parental leave: 26 weeks primary, 13 weeks secondary.
- Technology stipend and internet allowance for home office setup.
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