Junior Ai Engineer - Site: Rome

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8of89z

About AiengTutti i potenziali candidati sono incoraggiati a leggere l'intera descrizione del lavoro prima di candidarsi.Aieng is a high-growth innovative startup focused on delivering next-generation engineering solutions. We bridge the gap between ambitious vision and technical reality by investing heavily in research, development, and top-tier talent. We are building an intelligent automation platform based on modern microservices, where AI is an active participant in engineering and design processes.Your RoleAs a Junior AI Engineer, you will join our engineering team to help build AI-driven features for our platform, working on RAG pipelines, agentic and multi-agent workflows, and local LLM inference. With guidance from senior engineers, you will write Python services that integrate with our core C#/.NET backend.What You'll DoBuild and improve RAG pipelines: document ingestion, embeddings, and retrieval from vector databases.Develop reasoning agents and multi-agent workflows, and evaluate their reliability.Help deploy and test open-weight models for local inference.Build Python AI services and expose them through clean REST APIs that integrate with our C#/.NET platform, in collaboration with the backend team.RequirementsGood proficiency in Python and basic software engineering practices (Git, testing, REST APIs).Hands-on experience (even academic or personal)



building RAG pipelines and agentic workflows with LLMs.Practical knowledge of multi-agent architectures (e.G., orchestrating multiple specialized agents).Interest in integrating Python AI services with a C#/.NET backend; basic C# knowledge is astrong plus.Solid fundamentals in Machine Learning and NLP.Degree (or final year) in Computer Science, AI, Mathematics, Engineering, or a related field.0–2 years of experience, including internships or thesis work. Please share a link to your projects!Nice to HaveExperience with local inference tools (e.G., Ollama, vLLM, llama.Cpp).Vector databases (e.G., Qdrant, Milvus, Weaviate).Fine-tuning (e.G., LoRA), for example for domain-specific engineering drawing pipelines.Computer Vision or OCR experience.Soft SkillsEngineering Mindset: Strong analytical, problem-solving, and communication skills, with a focus on delivering working, reliable features.Teamwork: Ability to work collaboratively in a hybrid environment, both in-person and remotely.Curiosity and willingness to learn fast in a rapidly evolving field.What We OfferMentoring from senior engineers and real ownership on industrial AI projects.Hands-on growth in RAG, agentic systems, and local LLM inference.WorkplaceHybrid Workplace. xysqume Main Site: Rome.#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8of89z