reflow - AI Engineer - Remote (Europe)
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Requirements
• Strong foundation in Python, LLMs, and agentic architectures. • Experienced in prompt engineering, context optimization, and AI pipeline design. • Comfortable building fast prototypes and testing model behavior in varied, complex contexts. • Curious, pragmatic, and unafraid to experiment, you turn uncertainty into working systems. • Experience integrating AI into desktop or web apps. • Familiarity with LangChain, OpenAI API, or similar frameworks. • Background in automation systems, workflow optimization, or enterprise AI tools.
Responsibilities
• Developing AI models to automate tasks within Reflow's engineering processes. • Collaborating with cross-functional teams to integrate AI solutions into existing workflows and systems. • Conducting research on emerging technologies in the field of artificial intelligence relevant to our business needs. • Testing, deploying, and maintaining deployed AI models within Reflow's infrastructure. • Analyzing data sets for insights that can improve or optimize existing processes using machine learning techniques. • Writing code and scripts necessary for automating tasks related to the development of artificial intelligence solutions at Reflow. • Documenting technical aspects, methodologies, and findings in reports accessible by team members across departments within Reflow's engineering division.
Benefits
• You’ll help shape the intelligence core of Reflow, the layer that learns from work patterns and turns data into action. You’ll work across experiments, prototypes, and production systems, collaborating directly with founders and engineers. Ideal for someone who loves to push AI beyond the theoretical into the real. • We’re flexible on structure (part or full-time). What matters is iteration speed, creativity, and a bias for working code. Where you live does not matter; how you code does. • We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.
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