Addepto
Addepto
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AI Engineer (LLMs, Python)

12.6k - 19.3k PLN/ mies.B2B
MidFull-time·B2B
#408974·Dodano 2 dni temu·2
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 specializing in delivering scalable AI solutions for major enterprises and startups. It develops proprietary AI products like ContextClue and contributes open-source AI tools. Recognized by Forbes as a top 10 AI consulting company worldwide, Addepto is part of KMS Technology, combining AI specialization with enterprise-scale delivery capabilities.

Wymagania

  • At least 3 years of commercial experience in software engineering with Python.
  • Strong programming skills in Python, including clean coding and OOP design.
  • Hands-on experience with LLMs (Large Language Models) 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 in cloud environments (AWS, GCP, Azure).

Nice to have:

  • Personal projects or practical experience with frontend frameworks such as React, Node.js, Nest.js, TypeScript.
  • Practical experience and strong interest in Data Science and Machine Learning.
  • Curiosity about GenAI trends, 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 such as FastAPI.
  • Ensure code quality and implement sound software engineering practices.
  • Participate in deployment and maintenance of cloud-based solutions (e.g., GCP, AWS, Azure).

Benefity

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