Related skills
python prompt engineering apis llms ragπ Description
- Prototype and experiment with LLM-based systems (agents, tool use, RAG)
- Build and evaluate coding and automation agents that interact with APIs and tools
- Develop Python-based prototypes, evaluation pipelines, and experiments
- Explore prompt engineering, memory, and planning for agent behavior
- Run experiments to measure model and agent quality, latency, and cost
- Collaborate with scientists and engineers to integrate prototypes into product workflows
π― Requirements
- Currently pursuing MS or PhD in CS, ML, AI, or related field
- Strong Python programming skills with project or research experience
- Familiarity with LLMs and modern AI tooling (APIs, prompting)
- Interest or experience in LLM agents, coding agents, or tool-using AI
- Solid understanding of core ML concepts from coursework or research
- Ability to quickly prototype ideas in a fast-paced environment
π Benefits
- Flexible work options (hybrid/office/remote)
- Inclusive culture with equal opportunities
- Reasonable accommodations available on request
- Respect for privacy rights and data protection policies
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