Applied Ai Engineer
Pubblicato il 30-08-2026 - Azienda Anonima in Milano
ph3Applied AI / Solutions Engineer (Generative AI AI Agents) /h3 pA fast-growing Italian startup is looking for an experienced Applied AI / Solutions Engineer to join its team and support the design, development, and adoption of innovative Generative AI solutions for enterprise and public sector environments.
/p pThe role focuses on translating business challenges into scalable AI solutions, designing architectures, developing PoCs and MVPs, and supporting the implementation of AI systems and autonomous agents in real-world scenarios.
/p h3Key Responsibilities /h3 ul liAnalyze customer requirements and design end-to-end AI solution architectures.
/li liDevelop Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to validate AI solutions and business opportunities.
/li liDesign and optimize RAG pipelines, advanced prompt engineering strategies, and AI Agent workflows.
/li liIntegrate AI solutions with enterprise systems, databases, APIs, and existing infrastructures.
/li liEvaluate AI models and technologies based on performance, cost, scalability, and compliance requirements.
/li liSupport AI projects throughout their lifecycle, from experimentation to production deployment.
/li liCreate technical documentation, support knowledge transfer, and collaborate with customers and internal teams.
/li liContribute to the optimization of AI solutions in terms of security, reliability, and scalability.
/li /ul h3Requirements /h3 ul liExperience designing and implementing Generative AI solutions and end-to-end RAG systems.
/li liStrong knowledge of Python and AI frameworks such as LangChain, LlamaIndex, Haystack,
LangGraph, AutoGen, or similar.
/li liHands-on experience with LLMs, prompt engineering, AI Agents, and model adaptation techniques.
/li liExperience integrating AI solutions with enterprise environments through APIs and existing systems.
/li liKnowledge of vector databases (Pinecone, Weaviate, Chroma, Qdrant, PGVector) and traditional databases (PostgreSQL, MongoDB, Redis).
/li liFamiliarity with cloud platforms (AWS, Azure, GCP) and AI/ML deployment practices.
/li liExperience with Docker, Git, API development, and AI evaluation methodologies.
/li liStrong communication skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders.
/li liExperience working in enterprise environments and managing multiple priorities.
/li /ul h3Nice to Have /h3 ul liExperience with LLM fine-tuning techniques (LoRA, QLoRA).
/li liKnowledge of AI monitoring and evaluation frameworks.
/li liExperience in regulated industries such as finance, healthcare, or public sector.
/li liCloud certifications or contributions to AI/ML open-source projects.
/li /ul h3What We're Looking For /h3 pWe are looking for a proactive and problem-solving professional who combines strong AI technical skills with consulting abilities, enjoys working closely with customers, and is passionate about transforming business challenges into innovative AI solutions.
/p pThis job opportunity is open to candidates of all genders, ages, and nationalities, in compliance with applicable equal opportunity and anti-discrimination legislation.
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