AI Engineer
ClifyX
• Build LLM-powered applications with strong prompt engineering skills (few-shot, chain-of-thought, structured outputs).
• Develop agentic applications - tool-calling, multi-step workflows, multi-agent orchestration (LangChain, AutoGen, etc.).
• Integrate LLM APIs and RAG pipelines (vector DBs, embeddings) into production systems.
• Evaluate and iterate on prompts/workflows for quality, cost, and latency.
• Translate business use cases into scalable AI solutions, staying current with LLM tooling.
Vacancy posted 3 hours ago
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