Senior Artificial Intelligence Engineer

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