Junior AI Developer

Junior AI Developer

Sollers Consulting

Hexjobs Insights

Stanowisko: Junior AI Developer. Kluczowe obowiązki: rozwijanie rozwiązań AI, integracja komponentów backendowych, budowanie i utrzymywanie RAG pipeline. Wymagana znajomość Pythona i SQL.

Schlüsselwörter

Python
SQL
LLM APIs
RAG pipelines
Docker
Git
AI/ML engineering
MLOps
cloud platforms
agent-based architectures

Vorteile

  • program wsparcia pracowników
  • prywatna opieka medyczna
  • wsparcie kosztów kursów językowych
  • wsparcie kosztów szkoleń i kursów zawodowych
  • ubezpieczenie na życie
  • możliwości pracy zdalnej
  • elastyczne godziny pracy
  • wydarzenia integracyjne
  • opieka dentystyczna
  • komputer do użytku prywatnego
  • strefa relaksu
  • pakiet relokacyjny
  • program poleceń pracowniczych

Anforderungen

At least 1 year of commercial experience as a software developer (or relevant hands-on experience in AI/ML/LLM engineering)., Strong knowledge of Python 3 (OOP, functional programming, modular code design, clean code principles)., Good command of SQL and experience working with relational databases., Practical experience integrating with LLM APIs (OpenAI, Azure OpenAI, Ollama, Hugging Face, Anthropic, etc.)., Understanding and hands-on experience with prompt engineering techniques., Practical experience building or modifying RAG pipelines (document preprocessing, retrieval tuning, chunking strategies, embeddings)., Familiarity with vector databases (e.g., Qdrant, Pinecone, pgvector)., Understanding of agent-based architectures (multi-agent workflows, tool usage, Orchestrators, ReAct patterns)., Knowledge of Docker and Docker Compose., Experience working with Git (branching strategies, PR reviews, CI/CD basics)., Fluency in English (B2/C1 level at least)., Availability to work full-time and ability to work in the European Union., Experience with frameworks such as LangChain, LangGraph, Haystack or similar agent/RAG frameworks., Knowledge of graph databases (especially Neo4j)., Experience with ML libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch., Hands-on experience running open-source LLMs locally using tools such as Ollama, vLLM or Text Generation Inference., Familiarity with MLOps/LLMOps concepts (logging, tracing, experiment tracking, Langfuse)., Exposure to modern cloud platforms (Azure, AWS, GCP) and AI-related services., Demonstrated ability to learn quickly and a strong interest in emerging AI technologies.

Vorteile

employee assistance program, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, dental care, computer available for private use, leisure zone, redeployment package, employee referral program

Aufrufe: 8
Veröffentlichtvor 23 Tagen
Läuft abin 7 Tagen

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