Senior AI Engineer

Job description Since the inception of Axabee in 2012 we provide innovative IT products and services that support our clients to achieve their goals by building user-centric digital products that bring real value. Our team specializes in the travel and e-commerce industry and collaborates with renowned brands like Itaka and Čedok.  We have one common goal – to show millions of users of mobile and web applications  that technology should empower us to overcome our limitations. Help us achieve our ambitious goals by joining our team as Senior AI Engineer.   What you will do:   Designing and developing advanced AI solutions that address real business needs Working across the full project lifecycle — from requirement definition and proof of concept, through production deployment, to inference cost monitoring and optimization Collaborating with frontend, backend, and product teams in designing AI solutions Designing and implementing Retrieval-Augmented Generation (RAG) systems: building pipelines, retrievers, scoring mechanisms, and working with vector databases Creating and integrating AI agents using frameworks such as LangChain, LlamaIndex, and workflow orchestration tools Integrating large language models (LLMs) with a variety of systems — APIs, databases, documents, knowledge graphs, and multimodal models Supporting architecture, data security (data governance, PII masking, compliance), and AI best practices Implementing, deploying, and serving models Conducting code reviews, architecture reviews, and mentoring junior engineers Continuously developing both your own skills and those of the team through knowledge sharing, mentoring, and keeping up with the latest AI trends Skills Python master NLP master Classical ML advanced OpenAI advanced FastAPI regular Docker regular Vector databases advanced git advanced You are the ideal candidate if you have   5+ years of commercial experience in AI/ML, including production projects involving LLMs or agents Strong proficiency in Python and at least one additional language (e.g., TypeScript/Node.js, Java) Experience with the API/SDK of at least one major LLM provider (e.g., OpenAI, Anthropic, Google) Proficiency in prompt engineering and prompt testing (A/B testing, evaluation harnesses, hallucination testing)  Knowledge of natural language processing (NLP) methods — both classical and LLM-based — and experience applying NLP to real-world problems Familiarity with vector databases and semantic search engines Skills in working with REST APIs, relational and non-relational databases Experience with configuring services on cloud platforms (e.g., AWS, Azure, GCP) Familiarity with AI model deployment tools (Docker, Kubernetes, FastAPI) Understanding of AI security, privacy, and regulatory topics Very good knowledge of English (B2/C1) Extra points   Experience with LangChain, LlamaIndex. Experience with tools for LLM evaluation and monitoring. Familiarity with fine-tuning and distillation techniques and deploying large language models. Experience with multimodal models (text – image – audio). Experience with graph databases (e.g., Neo4j) and long-term memory concepts for agents. Use of tools for monitoring and managing the AI model lifecycle. Ability to automate CI/CD processes and knowledge of DevOps practices. Experience in AI-related security and privacy, data governance, sensitive data masking (PII masking), and regulatory compliance