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python prompt engineering llms rag langchainπ Description
- Drive AI Labs innovation by researching cutting-edge tech and PoCs.
- Design multi-provider LLM workflows and autonomous agents for advanced reasoning.
- Build MCP (Model Context Protocol) agents to bridge LLMs and our data ecosystems.
- Integrate AI into product workflows to automate and enhance core functionality.
- Optimize AI agents via fine-tuning, evaluations, prompt optimization, and RAG pipelines.
π― Requirements
- Bachelor's degree in Computer Science or a related field.
- Deep understanding of Large Language Models (LLMs) and their practical applications.
- Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token optimization.
- 5+ years of software engineering with Python and cloud platforms.
- Hands-on experience with LangChain and LangGraph.
- Experience with AI evaluation frameworks, benchmarking, and performance optimization.
π Benefits
- Competitive compensation including equity package
- Competitive vacation policy
- Access to Meditopia
- Hybrid working model and flexible working hours
- Personal development including language courses
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