Strong Junior Applied AI Engineer (LLM/RAG)

We are looking for an Applied AI Engineer to help our team design, develop, and improve production AI systems powered by LLMs.

Responsibilities

• Develop and improve LLM and RAG pipelines.
• Work with structured outputs, tool calling, and agentic workflows.
• Integrate AI components with backend systems and external services.
• Evaluate model performance and reduce errors.
• Research and apply new AI approaches.
• Use Claude Code, Codex, and other AI development tools.

Requirements

• 1+ year of commercial software development experience.
• Strong knowledge of at least one programming language: Python, JavaScript/TypeScript, Java/Kotlin, C#, or another backend language.
• Practical experience with LLM APIs or AI-powered features.
• Understanding of RAG, embeddings, vector search, and prompt engineering.
• Experience with APIs, databases, and Git.
• Strong technical thinking, independence, and a desire to grow in Applied AI.

Python experience is a plus, but we are open to candidates with other strong technical backgrounds.

Nice to Have

• Experience building LLM or RAG solutions.
• Understanding of ML fundamentals, datasets, and AI system evaluation.
• Experience with vector databases, FastAPI, Langfuse, LangChain, or LlamaIndex.
• Experience with Docker, queues/workers, or event-driven systems.
• Personal AI projects or open-source contributions.

We do not expect candidates to know everything listed above. Practical thinking, a strong technical foundation, and the ability to learn quickly are more important to us.

What We Offer

• Fully remote work.
• Work on real production AI systems.
• The opportunity to influence architecture and technical decisions.
• Practical experience with LLMs, RAG, AI evaluation, and agentic systems.
• Minimal bureaucracy and direct communication with the team.
• Opportunities to grow professionally together with the product.