AI Engineer - Strong Junior

We’re looking for a motivated and curious AI Engineer who's eager to grow in the field of AI agents and LLM-powered systems. You'll support the team in building intelligent, tool-using agents and gain hands-on experience with LLM APIs, vector databases, and real-world applications.

What You’ll Do:

• Assist in building AI agent systems using LLMs and basic tool integration.
• Help design and test LLM workflows (conversation flows, tool calls, etc.).
• Learn how to retrieve and use relevant memory using vector databases (e.g., Qdrant).
• Collaborate with senior engineers and product teams to understand how agents interact with real-world data and tools.
• Contribute to prompt tuning and experimentation with LLM behavior.
   

What You Bring:

• Strong experience with Python development.
• Familiarity with LLM APIs (OpenAI, Claude, etc.) — even through personal or demo projects.
• Willingness to learn agent-style systems and how tools and memory are used in LLMs.
• Basic understanding of APIs and interest in working with FastAPI or similar frameworks.
• Eagerness to grow your skills in vector databases like Qdrant, Pinecone, or Weaviate.
• Strong problem-solving mindset and a desire to learn from feedback and real use cases.

• English at Upper-Intermediate level or higher to effectively communicate with the team and stakeholders.

   

About project:

Our product in the insurance industry leverages cutting-edge data science and analytics to significantly improve the accuracy of risk assessment. We utilize historical claims data and integrate numerous innovative data points to gain detailed insights into a company’s operations. Following qualification, our AI-driven risk intelligence platform pinpoints predictive data regarding potential claims and injuries most probable within the company, as well as the precise risk management strategies that would yield the highest safety improvements.

We offer:

• Flexible working hours and a flexible approach to work.
  Competitive compensation depending on skills and experience level.
  Various projects and tasks which help you to grow professionally and advance your career.
  Paid vacation and sick days, national holidays.
  A team that really rocks.