AI Engineer

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