Location: Budapest or Remote

Department: AI Team

Reports To: Solution Architect / AI Lead

Department: AI Team

Reports To: Solution Architect / AI Lead

Job Overview:

We are seeking a skilled and innovative AI Software Developer to join our growing IT team and lead the development of cutting-edge AI solutions. The ideal candidate will be responsible for designing, implementing, and deploying AI-based applications using technologies like Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and custom knowledge bases. This role is ideal for someone who is passionate about the latest in artificial intelligence, natural language processing (NLP), and real-world application of generative AI.

Key Responsibilities:

• Design, build, and maintain AI-driven applications using LLMs (e.g., OpenAI, Hugging Face, Azure OpenAI).
• Implement RAG pipelines combining vector search (e.g., Qdrant, Pinecone, FAISS) with LLMs for scalable knowledge retrieval.
• Develop APIs and integrations to connect AI components with internal systems (e.g., CRM, ticketing, databases).
• Collaborate with data scientists, product owners, and backend developers to deliver end-to-end AI solutions.
• Fine-tune or prompt-engineer LLMs to improve performance on domain-specific tasks.
• Build or integrate knowledge bases and document ingestion pipelines for AI access.
• Ensure performance, reliability, and scalability of AI solutions in production.
• Monitor and optimize model accuracy, response time, and hallucination rates.
• Write clean, maintainable code and ensure version control (Git) best practices.
• Keep up to date with emerging AI trends and tools to continually improve solution quality.

Qualifications

Must-Have:

• Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field.
• Proven experience with Python and frameworks like LangChain, Haystack, or Semantic Kernel.
• Experience working with LLM APIs (e.g., OpenAI, Cohere, Claude, or open-source like LLaMA).
• Experience with vector databases (e.g., Qdrant, Pinecone, Weaviate, FAISS).
• Solid understanding of NLP techniques and generative AI.
• Knowledge of cloud platforms (Azure, AWS, or GCP) and containerization (Docker).
• Familiarity with building RESTful APIs and integrating AI into web or backend systems.

Nice-to-Have:

• Experience with prompt engineering or LLM fine-tuning.
• Knowledge of document OCR, chatbot frameworks, or speech-to-text pipelines.
• Familiarity with DevOps pipelines and MLOps best practices.
• Experience with frontend frameworks (e.g., React) for building AI user interfaces.

Soft Skills:

• Strong problem-solving and analytical thinking.
• Self-motivated with a continuous learning mindset.
• Excellent collaboration and communication skills across technical and non-technical teams.
• Ability to manage priorities in a fast-paced, agile development environment.

What We Offer:

• Competitive salary and benefits.
• Opportunity to work on cutting-edge AI projects that deliver real business impact.
• Collaborative and innovation-driven team environment.
• Support for training, certifications, and attendance at AI conferences or workshops.
• Flexible working hours and remote work options.