AI ENGINEER | AI BY DNA
We build production-grade AI systems for enterprise clients, and this role is aimed at strengthening the implementation team, which develops and delivers reliable LLM systems in real-world business environments. As an AI Engineer, you will have the opportunity to work on AI projects with tangible business impact, learn from experienced professionals, and grow in a modern, supportive environment.
Key Responsibilities:
- Development and maintenance of RAG pipelines.
- Implementation of short-term and persistent memory handling.
- Integration of LLMs with APIs, databases, and external tools.
- Improvement of reliability, structured outputs, and evaluation pipelines.
Required Qualifications:
- BSc in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or a related field.
- Very good knowledge of Python (and/or R).
- Experience with LLM APIs (OpenAI, Anthropic, or local models).
- Hands-on experience in RAG implementation.
- Experience with vector databases.
- Understanding of embeddings, chunking strategies, and hallucination mitigation.
- Analytical thinking, sense of responsibility, and willingness for continuous learning
- Ability to collaborate effectively in cross-functional teams (IT, Business).
- Very good command of the English language.
Nice-to-Have Qualifications:
- Postgraduate studies in AI, Machine Learning, or in related field.
- LangChain / LlamaIndex.
- FastAPI / async Python.
- Docker.
- Multi-agent systems.
- Evaluation frameworks.
What this role is NOT:
- This is not a Data Scientist role.
- This is not academic research.
- This is not a prompt-only / no-code AI builder role.
- This is not a front-end heavy position.
Terms of employment:
Location:
