AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-
premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using
primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,
agentic, multimodal, and speech-enabled systems.
Responsibilities
Analyze requirements and contribute to technical AI solution design.
∙Strong programming skills in Python (mandatory).
∙Experience in backend development (APIs, microservices, model serving).
∙Hands-on experience with local LLM deployment and optimization.
∙Experience in RAG system design and vector databases.
∙Practical experience in model fine-tuning (LoRA / PEFT).
∙Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
∙Experience working in Linux environments.
∙Participate in peer code reviews and team planning activities.
∙Provide task estimations and deliver within approved timelines.
∙Apply secure coding practices and participate in bug resolution with quality metrics in mind.
Requirements
Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
3-5 years of experience in AI Engineering.
Proficiency in C#, .NET Core and Python.
Experience with Structured and Unstructured databases.
Experience with Angular or other frontend technologies is a strong plus.
Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
Familiarity with Git, RESTful services, and Agile development methodologies
