Junior Ai Engineer - Site: Rome

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8ojl86

About Aieng
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 Role
As 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 Do
Build 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.
Requirements
Good 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 a strong 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 Have
Experience 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 Skills
Engineering 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 Offer
Mentoring from senior engineers and real ownership on industrial AI projects.
Hands-on growth in RAG, agentic systems, and local LLM inference.
Workplace
Hybrid Workplace.
Main Site: Rome.
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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8ojl86