27 ott - Roma
Aieng
About Aieng
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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
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- 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
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- 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
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- 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
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- 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
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- Mentoring from senior engineers and real ownership on industrial AI projects.
- Hands-on growth in RAG, agentic systems, and local LLM inference.
Workplace
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- Hybrid Workplace. xbvzest Main Site: Rome.
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