Our Customer:
A product-oriented technology company building AI-powered automation solutions for real-time operational processes and intelligent decision-making systems.
Your tasks:
- Develop and maintain AI agent workflows for automated data analysis and operational actions.
- Build LLM-based solutions including RAG pipelines, tool integrations, and structured response generation.
- Create monitoring, evaluation, and validation processes for AI systems in production.
- Integrate AI services with backend systems, APIs, and streaming data pipelines.
- Collaborate with Product and Engineering teams to implement business logic into AI-driven solutions.
- Improve reliability, scalability, and performance of AI and ML components.
- Participate in deployment, testing, and optimization of production AI applications.
Required experience and skills:
- 3+ years of experience in Data Science, Machine Learning, or AI Engineering.
- Solid understanding of Machine Learning fundamentals and model evaluation approaches.
- Strong practical experience with GenAI and LLM-based applications in production environments.
- Hands-on experience building AI agents, multi-step workflows, or orchestration pipelines.
- Experience with prompt evaluation, monitoring, testing, and observability of AI systems.
- Strong Python programming skills.
- Experience working with modern LLM platforms and APIs such as OpenAI, Anthropic, Google, or Microsoft.
- Experience integrating AI solutions with external tools, APIs, or backend services.
- Ability to work independently and take ownership of technical solutions.
- English level — Upper-Intermediate (B2) or higher.
Would be a plus:
- Experience with cloud platforms, especially Microsoft Azure AI services.
- Knowledge of vector databases and retrieval systems.
- Experience with real-time or streaming data platforms.
- Background in logistics, IoT, or operational analytics domains.
- Familiarity with MLOps and CI/CD practices for AI systems.
Working conditions
Remote work.