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  • Senior AI Developer
    New
    AI/ML

    Senior AI Developer

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote
    Axabee

    Axabee

    Axabee to software house, który od 2012 roku dostarcza usługi IT – innowacyjne produkty i rozwiązania cyfrowe. Specjalizujemy się w usprawnianiu kluczowych procesów biznesowych dla dużych i średnich firm europejskich w branży turystycznej i e-commerce, takich jak ITAKA i Čedok. Naszym celem jest tworzenie technologii, która ma realny wpływ na pozytywne doświadczenia użytkowników systemów rezerwacyjnych, aplikacji mobilnych oraz webowych.

    Company profile

    Tech stack

      Python

      master

      NLP

      master

      OpenAPI

      advanced

      vector databases

      advanced

      Git

      advanced

      fastapi

      regular

      Docker

      regular

    Job description

    Online interview

    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 Developer

     

    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.



    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 command of English.



    Nice to have:


    • 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



    Join Axabee team!

    Undisclosed Salary

    B2B

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