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GenAI/AI Backend Engineer (shifted working hours)

Віддалений* формат співпраці з території - Україна

*Ви можете працювати віддалено з території країни (або країн), для яких відкрита ця позиція.

AI Engineering& інші навички
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We are seeking a talented and driven GenAI/AI Backend Engineer to join our team. In this role, you'll be responsible for designing versatile, scalable backend solutions, integrating cutting-edge AI technologies, and ensuring seamless deployment and performance of AI-powered applications. Partnering closely with Data Science, DevOps, and cloud teams, you’ll play a pivotal role in bringing advanced AI workflows and robust solutions to life.

Чим ви будете займатися у цій ролі
  • Develop and optimize backend services for AI and LLM applications
  • Integrate, scale, and manage LLM-based applications in cloud environments
  • Implement and manage CI/CD pipelines for streamlined deployment
  • Monitor and continuously optimize the performance of AI services
  • Ensure effective observability and logging for tracking LLM API performance
  • Collaborate with DevOps and Data Science teams to improve workflow efficiency and system reliability
  • Design and maintain backend architecture for scalable, LLM-powered APIs
  • Facilitate deployment and scaling of AI solutions in cloud platforms, with a preference for Azure
  • Build APIs and microservices to support AI-driven functionalities
Навички
  • 2+ years of experience in AI Engineering, specializing in backend development
  • Strong proficiency in Python backend engineering, especially with FastAPI
  • Expertise in integrating LLM APIs (e.g., OpenAI) into production workflows
  • Proficiency in prompt engineering, agentic workflows, and orchestration approaches
  • Capability to address LLM operational challenges such as latency, cost control, retries, and fallback mechanisms
  • Knowledge of backend architecture for scalable LLM integrated APIs with high-performance requirements
  • Working knowledge of databases, including SQL/NoSQL, Redis, and streaming platforms such as Kafka
  • Familiarity with platforms such as Databricks and MCP for enhanced AI workflow management
  • Strong communication skills in English (minimum B2+ level proficiency)
  • Flexibility to work in shifted working hours up to 10 pm Kyiv time
Буде перевагою
  • Showcase of hands-on experience in building and optimizing agentic workflows
  • Deep understanding of Model Context Protocol (MCP) and its applications in AI systems