Prompt Engineer (Budapest)

Prompt Engineer (Budapest)
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Prompt Engineer

About the Role:


We are seeking a highly skilled Prompt Engineer / System Engineer to join our multidisciplinary team working at the intersection of artificial intelligence, systems architecture, and infrastructure reliability. This role is ideal for someone with a deep understanding of large language models (LLMs), prompt design, and system engineering principles to help build, optimize, and maintain scalable, AI-driven solutions.

Key Responsibilities:


Prompt Engineering

  • Design, test, and refine prompts to optimize performance of large language models (e.g., GPT-4, Claude, LLaMA).

  • Develop prompt templates and reusable patterns for various use cases, including classification, summarization, generation, and dialogue.

  • Collaborate with product and data teams to understand use case requirements and translate them into effective prompt strategies.

  • Evaluate LLM responses and fine-tune prompts to reduce hallucinations, bias, or inappropriate content.

System Engineering

  • Design and maintain scalable infrastructure for AI services, APIs, and model inference pipelines (on-prem or cloud).

  • Automate deployment and monitoring of AI components using CI/CD tools (e.g., Azure DevOps, GitHub Actions, Jenkins).

  • Implement robust logging, observability, and performance monitoring for AI applications.

  • Ensure system security, data privacy, and compliance with internal and external standards.


Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • 3+ years of experience in system engineering, DevOps, or backend development.

  • Experience with AI/LLM platforms like OpenAI, Anthropic, Cohere, or open-source models (e.g., Hugging Face).

  • Strong skills in scripting and automation (e.g., Python, Bash).

  • Familiarity with containerization (Docker, Kubernetes) and cloud services (Azure, AWS, or GCP).

  • Understanding of prompt engineering techniques, LLM limitations, and evaluation metrics.

Preferred Qualifications:

  • Experience fine-tuning or deploying custom LLMs.

  • Knowledge of NLP concepts and transformer architectures.

  • Familiarity with RAG (Retrieval-Augmented Generation), vector databases, and embeddings (e.g., FAISS, Qdrant, Pinecone).

  • Experience with MLOps pipelines and model lifecycle management.

  • Security awareness in AI deployments (e.g., token protection, output filtering).

Why Join Us?

  • Be part of a cutting-edge AI engineering team driving real-world innovation.

  • Work on impactful projects combining infrastructure reliability with next-gen AI capabilities.

  • Enjoy a flexible work environment and opportunities for continued learning and growth.

Budapest

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