Position Overview

Mid-Level 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.

Key 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.

Qualifications

·       Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or related discipline.

·       2-5 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