Általános információ

Pozíció
Python Engineer with Agentic AI | Ukraine
Munka típusa
Teljes munkaidős pozíció
Város
Kijev
Ország
Ukraine
Üzletág
Consulting
Csapat
Engineering, AI & Data
Érdeklődési terület
IT - Development
Munkavégzés
Távoli munkavégzés

Pozícióleírás és elvárások

Who we are looking for
We are seeking a talented Middle Python Developer with expertise in Generative AI and Agentic AI to join our innovative team. You will work with cutting-edge large language models and AI infrastructure to build solutions that transform our clients' businesses.

Required Skills:
  • Strong Python programming experience with AI frameworks like LangGraph
  • Hands-on experience with Large Language Models (OpenAI, Anthropic, Google Gemini)
  • Knowledge of Vector Stores and their application in AI workflows
  • Experience with GCP and integrating AI models with APIs and cloud platforms
  • Familiarity with CI/CD practices
  • Excellent English communication skills and ability to work in cross-cultural teams

Nice to have:
  • Experience in AI-driven startups or technology companies
  • Knowledge of Azure or AWS
  • Familiarity with RAG concepts and implementation
Your future role
As a Middle Python Developer, you will be at the forefront of AI innovation, working with advanced technologies and international teams to deliver impactful solutions.

Your responsibilities:
  • Develop and maintain Python applications focused on Generative AI and Agentic AI
  • Work with large language models (OpenAI, Anthropic, Google Gemini) to build innovative AI solutions
  • Integrate AI models with various APIs and cloud platforms
  • Collaborate with cross-functional teams to deliver robust AI solutions
  • Participate actively in team discussions and contribute to project success
What we offer
  • Develop and maintain efficient, scalable, and clean Python code
  • Design and implement new features to meet client needs
  • Optimize application performance and ensure smooth functionality
  • Identify and troubleshoot issues, addressing bottlenecks in the codebase
  • Collaborate with cross-functional teams throughout the development lifecycle
  • Maintain high standards for code quality and automation practices
  • Continuously learn and adopt emerging technologies into development processes 
Selection process
  • Application and CV review
  • Short call with recruiter
  • Technical interview with tech expert and Delivery manager
  • Final interview in English
  • Offer and onboarding

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