LLM Engineer
Ukrainian Product
🇺🇦
🪄 Your Mission:
Leverage state-of-the-art LLM technologies (GPTs, Gemini, Claude, open-source LLMs, RAG systems, and agents) to rapidly prototype, deploy, and continuously improve AI-driven features, directly impacting our customers.
⚡ What you’ll do:
• Rapidly prototype, test, and launch solutions powered by modern LLMs - from ideas to production at startup speed.
• Iterate quickly based on user feedback and analytics - continuously improving solutions.
• Experiment proactively with emerging technologies (RAG, agents, prompt engineering tricks, fine-tuning) to solve practical problems.
💡 We’re looking for someone who:
• Has 3-5 years of commercial experience in software engineering, data science, or AI-driven development.
• Has solid Python skills - comfortable scripting, prototyping, and deploying quickly.
• Had hands-on experience with modern LLM frameworks, APIs, and tools (LangChain, LlamaIndex, OpenAI API, Hugging Face ecosystem).
• Understands or is eager to learn prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agent-based AI.
• Is highly motivated by practical results, rapid experimentation, and iterative development.
🌟 Bonus Points if you:
• Have deployed apps/services leveraging APIs, cloud infrastructure, Docker, Kubernetes, or related DevOps tooling.
• Actively participate in the AI community - hackathons, Kaggle competitions, side projects.
• Have experience optimizing LLM performance - speed, accuracy, costs.
Leverage state-of-the-art LLM technologies (GPTs, Gemini, Claude, open-source LLMs, RAG systems, and agents) to rapidly prototype, deploy, and continuously improve AI-driven features, directly impacting our customers.
⚡ What you’ll do:
• Rapidly prototype, test, and launch solutions powered by modern LLMs - from ideas to production at startup speed.
• Iterate quickly based on user feedback and analytics - continuously improving solutions.
• Experiment proactively with emerging technologies (RAG, agents, prompt engineering tricks, fine-tuning) to solve practical problems.
💡 We’re looking for someone who:
• Has 3-5 years of commercial experience in software engineering, data science, or AI-driven development.
• Has solid Python skills - comfortable scripting, prototyping, and deploying quickly.
• Had hands-on experience with modern LLM frameworks, APIs, and tools (LangChain, LlamaIndex, OpenAI API, Hugging Face ecosystem).
• Understands or is eager to learn prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agent-based AI.
• Is highly motivated by practical results, rapid experimentation, and iterative development.
🌟 Bonus Points if you:
• Have deployed apps/services leveraging APIs, cloud infrastructure, Docker, Kubernetes, or related DevOps tooling.
• Actively participate in the AI community - hackathons, Kaggle competitions, side projects.
• Have experience optimizing LLM performance - speed, accuracy, costs.
📊
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