AI Engineer (LLMs, Python)
12.6k - 19.3k PLN12 600 - 19 320 PLN/ mies.B2B
MidFull-time·B2B
#402586·Dodano wczoraj·1
Źródło: nofluffjobs.comTech Stack / Keywords
Data scienceAIPythonCloudGenAILLMBackendCI/CDAWSFrontendReactNode.jsNest.jsTypeScriptAI AgentsMachine Learning
Firma i stanowisko
Addepto is a leading AI consulting and data engineering company specializing in Artificial Intelligence and Big Data, working with major enterprises and startups. The company develops scalable AI solutions with measurable business impact and has its own AI product, ContextClue. It is part of KMS Technology, a global technology group, and recognized by Forbes as a top AI consulting firm worldwide.
Wymagania
- At least 3+ years of commercial experience in software engineering with Python.
- Strong programming skills in Python including clean code practices 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 projects or practical experience with frontend frameworks such as React, Node.js, Nest.js, and TypeScript.
- Practical experience and interest in Data Science and Machine Learning.
- Curiosity about trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases, and OpenSource LLMs.
Obowiązki
- Support the development of scalable AI systems, including LLMs and Generative AI, under the guidance of senior engineers.
- 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 the 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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