Senior Python + GenAI/ ML Engineer

Aperture Cloud Inc. is looking for a Python Engineer with GenAI and ML for a full-time position (40 hours per week) in Europe. Our client is a global developer of technology platforms that develop temperature control products. Tech Stack & Environment: LangChain & LangGraph (current migration target for agent orchestration); Claude API via AWS Bedrock (primary LLM infrastructure); Python (core language for all backend and ML work); REST API development (for model and agent integration); ML frameworks (scikit-learn, PyTorch, or equivalent for small model training). Requirements: 5+ years of experience in engineering, Python, and a strong focus on clean, maintainable code. Hands-on experience with LangChain and LangGraph for building AI agents and pipelines. Practical knowledge of LLM integrations, prompt engineering, and GenAI product development. Experience in training and deploying small-to-medium ML models for regression or prediction tasks. Familiarity with AWS services, particularly AWS Bedrock or similar managed AI platforms. Understanding of REST API design and development. Ability to work independently, take ownership of features end-to-end, and communicate effectively with cross-functional stakeholders. Responsabilities: Continue and improve the GenAI project, including cubes and alerts functionality, with a focus on quality and reliability. Conduct the development of a customer-facing version of the GenAI product, adapting the current tech-support-oriented system to improve the end-user experience. Design and build new tools and capabilities for the GenAI Agent. Drive migration from the current direct Claude API integration to a LangGraph-based architecture. Train and deploy lightweight ML models to predict key operational metrics, including: Integrate ML models into the GenAI Agent and expose them via REST API. Work within the AWS Bedrock environment and contribute to architectural decisions as the platform evolves. Our offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!