• Designing, constructing, and launching AI and Generative AI solutions (such as LLM-powered applications, chatbots, and intelligent systems).

• Developing and refining prompt engineering strategies, including evaluation and iterative processes.

• Creating RAG pipelines utilizing vector databases.

• Integrating LLMs and AI models into cloud-based applications and APIs.

• Implementing agent-based workflows and AI automation solutions.

• Continuously researching, assessing, and applying new AI tools, models, and frameworks.

• Extensive experience with Python for AI application development.

• Practical experience with LLMs and Generative AI (including OpenAI and open-source models).

• Hands-on experience with prompt engineering in production scenarios.

• Proficiency in using LangChain, LangGraph, LlamaIndex, or similar frameworks.

• Experience in designing and implementing RAG architectures and working with vector databases (such as Qdrant, Pinecone, Weaviate).

• Experience in developing and deploying AI-powered applications within cloud environments (AWS, Azure, or GCP).

• Knowledge of AI safety, guardrails, and responsible AI practices.

• Proficient in speaking and writing in English.

• Flexible working arrangements and remote work options.

• Opportunities to work on international projects with prominent global clients.

• Possibility of international business travel.

• A non-corporate and relaxed atmosphere.

• Language courses available.

• Access to internal and external training programs.

• Private healthcare and insurance coverage.

• Multisport card benefits.

• Well-being initiatives to support employee health.

AI Engineer

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