At Axabee we build products where AI truly matters.
We are looking for a Senior AI Engineer to help us develop solutions based on LLM, RAG and AI agents.
We work end to end — from designing RAG pipelines and backend integrations to monitoring and optimising models.
responsibilities :
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
requirements-expected :
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)
offered :
Real impact on technologies and solutions – we appreciate initiative and ideas
Work on global applications in a dynamic industry, including travel (yes, this is a big challenge today!)
Focus on code quality – we write tests, do code reviews, take care of scalability and security
Possibility of training and competence development – we share knowledge internally, and also participate in conferences and courses
Subsidized holiday trips to attractive places!
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
