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HR agency CADABRA

Senior AI Engineer

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    Tech Stack / Requirements

    Our client has been into AI before it was cool and has gathered tons of research knowledge on AI, LLMs, RAGs being a personal research assistant to a solid client base. As part of their growth, they are looking for a Senior AI Engineer to join their team. 

    Tech stack: Service-oriented architecture, microservices, Python, Django, PostgreSQL, non-relational and vector databases (Elasticserach/ OpenSearch, ChromaDB, Couchbase), AWS, GenAI tools (Windsurf, Cursor, Amazon Q, Claude, etc.), AI/ ML/ NLP libraries (Gensim, Torch, Transformers, spaCy, Autogen, etc.), Git & CI/CD.

    Hands-on development responsibilities:

    • Own the full development lifecycle – from idea to architecture, implementation, testing, and delivery of real-world AI products.
    • Design and build robust AI systems, including Retrieval-Augmented Generation (RAG) pipelines and LLM Evaluation Frameworks.
    • Drive innovation by testing new approaches and bringing new AI research into production.
    • Work closely with researchers, product managers, and fellow engineers to shape and ship powerful features.
    • Build systems for performance and reliability, ensuring they are scalable, testable, and maintainable.
    • Contribute to a global mission to transform how the world interacts with scientific knowledge and applied AI.

    Requirements:

    • 5+ years in software development, including 3+ years with Python.
    • Solid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure.
    • Familiarity with ML systems or motivation to learn in depth.
    • Proficiency in English.

    Considered as a big plus:

    • Degree in Computes Science or ralated field.
    • Previous work with LLMs, NLP, or AI model evaluation.
    • Experience contributing to or using RAG systems in production.
    • Open-source contributions, academic research, or mentoring.

    In Return, They Offer:

    • A job with a global mission to advance Science.
    • Annual Salary Review.
    • Share incentivization plan
    • 30 days vacation.
    • Flexible work hours.
    • Remote-first policy with hybrid options for Sofia, Bulgaria.
    • Personal equipment reimbursement program.
    • Free MultiSport card.
    • Private Health Insurance – premium package.
    • Career Enhancement plan.
    • Workshops, Conferences, Hackatons, Tech Deep Dives (internal & external).

    (No. 2709 from 17.01.2019)