Addepto
Addepto
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Senior AI Engineer (LLMs, Python)

19.3k - 25.2k PLN/ mies.B2B
SeniorFull-time·B2B
#402581·Dodano wczoraj·3
Źródło: nofluffjobs.com
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Tech Stack / Keywords

Data scienceAIPythonCloudGenAILLMBackendCI/CDAWSFrontendReactNode.jsNest.jsTypeScriptAI AgentsMachine Learning

Firma i stanowisko

Addepto is a leading AI consulting and data engineering company focused exclusively on Artificial Intelligence and Big Data. It builds scalable, ROI-focused AI solutions for large enterprises and startups, including notable clients like Rolls Royce and Porsche. The company develops its own AI product - ContextClue - and contributes open-source AI solutions. Addepto is part of KMS Technology, combining deep AI specialization with enterprise-scale delivery.

Wymagania

  • At least 5+ years of commercial experience in software engineering with Python.
  • Strong programming skills in Python, including clean code and OOP design.
  • Hands-on experience with LLMs and Generative AI.
  • Solid understanding of software design principles.
  • Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL).
  • Familiarity with Docker, Git, and basic CI/CD concepts.
  • Practical experience working in a cloud environment (AWS, GCP, Azure).

Nice to have:

  • Personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, TypeScript).
  • Practical experience and strong interest in Data Science and Machine Learning.
  • Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases, and OpenSource LLMs.

Obowiązki

  • Support the development of scalable AI systems, including LLMs and GenAI, under senior engineers' guidance.
  • Assist in transforming Data Science prototypes into production-ready solutions.
  • Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI.
  • Ensure code quality and implement good software engineering practices.
  • Participate in deployment and maintenance of solutions in cloud environments such as GCP, AWS, and Azure.

Benefity

  • Private healthcare
  • Multisport card
  • Referral bonus
  • MyBenefit cafeteria
  • International projects
  • Flat structure
  • Paid leave
  • Training budget
  • Language classes
  • Team building events
  • Small teams
  • Flexible form of employment
  • Flexible working hours and remote work possibility
  • Sport subscription
  • Free coffee
  • Shower
  • Startup atmosphere
  • No dress code
  • In-house trainings
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