Fullstack Engineer (AI agents)

5+ years of overall fullstack software development experience focused on frontend Solid skills with Python and front‑end technologies (HTML, CSS, React)Fluent with AI-assisted development (Codex, Claude)Some experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit‑learnExperience with microservices Being able to work until at least 7:00 PM CET.Nice to have:A degree in Computer Science, Artificial Intelligence, or a related field Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!Currently, we are searching for a full-time Fullstack Engineer to cooperate with our US client - the company integrates production-grade, governed AI workflows into complex enterprise systems by addressing common friction points like poor integration and lack of domain expertise. The organization combines deep domain knowledge with cutting-edge capabilities to accelerate the deployment of reliable AI products.Our client’s core mission is to make artificial intelligence work for complex enterprise workflows. Recognizing that most AI initiatives fail due to poor integration, gaps in domain specialization, a lack of governance, and unclear ownership-rather than flawed models—they focus on overcoming these exact friction points.By combining decades of deep industry domain expertise with cutting-edge product AI capabilities, they accelerate production deployment and embed production-grade, governed AI workflows directly into some of the world’s most intricate enterprise systems. The leadership team consists of proven industry veterans with a track record of delivering groundbreaking AI products, backed by a board of senior executives with deep expertise in global consulting and software engineering.⚠️ Due to the client's location, a daily standup around 5:00 – 6:00 PM Polish time, with required availability to work until at least 7:00 PM CET. ,[Build interactive dashboards and visualizations to support forecasting models and production planning insights, Integrate LLM capabilities into product surfaces: streaming responses, inline editing, human-in-the-loop review flows, Design and maintain systems and APIs powering our agentic workflows, Deal with the Slack/email integrations, Collaborate with data scientists, product managers, and engineering teams to define and implement new features, including AI‑driven solutions.] Requirements: Python, AI, React Tools: .