AI Engineer

• Design, build, and deploy AI and Generative AI solutions, including LLM-powered applications, chatbots, and intelligent systems
• Develop and optimize prompt engineering strategies, including evaluation and iteration
• Build RAG pipelines using vector databases
• Integrate LLMs and AI models into cloud-based applications and APIs
• Implement agent-based workflows and AI automation solutions
• Research, evaluate, and apply new AI tools, models, and frameworks
• Collaborate closely with clients, combining technical expertise with business understanding
• Deliver real business value through modern AI-driven solutions across rapid prototypes and production-grade deployments

• Strong experience with Python for AI application development
• Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models)
• Practical experience with prompt engineering in production use cases
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks
• Experience designing and implementing RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate)
• Experience building and deploying AI-powered applications in cloud environments (AWS, Azure, or GCP)
• Understanding of AI safety, guardrails, and responsible AI practices
• Ability to speak and write in English

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access to language classes
• Access to knowledge-sharing initiatives
• Access to private healthcare and life insurance
• Access to multisport card