Application Engineer
Pubblicato il 29-10-2026 - Jobgether in Genova
We are currently looking for an Applied AI Engineer in Italy. In this role, you will operate at the intersection of artificial intelligence, software engineering, and business transformation, acting as a self-driven builder embedded within key operational teams. You will take ownership of end-to-end solutions, identifying inefficiencies and rapidly developing AI-powered tools to streamline processes and drive measurable impact. Working in a highly autonomous and innovation-focused environment, you'll leverage modern AI agents, LLMs, and cloud technologies to design, build, and deploy scalable solutions. This position is ideal for someone who thrives on experimentation, continuous learning, and delivering tangible improvements through cutting-edge AI applications. Identify operational inefficiencies within assigned business functions and design AI-driven solutions to improve workflows and productivity Build, test, and deploy end-to-end automation tools using modern AI frameworks and coding environments Leverage LLM APIs, agent-based architectures, and retrieval-augmented generation (RAG) to develop intelligent systems Collaborate closely with stakeholders to translate complex business needs into scalable technical implementations Own the full product lifecycle, from discovery and prototyping to deployment and performance optimization Ensure reliability, scalability,
and observability of deployed AI systems through best engineering practices Continuously evaluate and adopt emerging AI tools, frameworks, and methodologies to enhance development efficiency 3-5 years of professional experience in software engineering, including delivering production-grade applications ~ At least 1 year of hands-on experience building and deploying LLM-powered or agent-based AI solutions ~ Strong proficiency in TypeScript/JavaScript, Python, and modern web frameworks such as Next.js ~ Practical experience with LLM APIs (e.g., Anthropic, OpenAI, Google Gemini) and prompt engineering techniques ~ Familiarity with agentic architectures, MCP (Model Context Protocol), and AI workflow orchestration ~ Experience with cloud platforms (preferably Google Cloud), CI/CD pipelines, Docker, and API design ~ Strong problem-solving skills with the ability to independently xrdztoy take projects from concept to deployment ~ Excellent communication skills, with the ability to bridge technical and business perspectives ~ Self-motivated, curious, and adaptable, with a passion for staying current in the rapidly evolving AI landscape Benefits Fully remote work environment with flexible scheduling options Unlimited paid time off to support work-life balance Parental leave to support growing families Home office setup allowance Professional development stipend for continuous learning Inclusive, collaborative culture that values diversity and innovation