Senior AI Engineer

Axabee Sp. z o.o.Wrocław, Lower Silesia, Poland

30+ days ago

Job description

technologies-expected :

Python
NLP
Classical ML
OpenAI
FastAPI
Docker
Vector databases
Git

about-project :

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

remote work opportunities

flexible working time

integration events

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Senior Ai Engineer • Wrocław, Lower Silesia, Poland

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