R&D Mid-Senior AI Engineer (Computer Vision and/or LLMs)

We are looking for a versatile and skilled AI engineer with expertise across computer vision and/or large language models to join our team. You will participate in research, design, and development of new algorithms, models, and solutions that bridge visual, language, and other data for real-world problems.

Responsibilities:

• As part of the R&D team, you will work on researching and implementing multimodal AI solutions for current and future clients.
• Support the entire development process, ranging from initial analysis, architecture design, implementation, documentation, and maintenance of CV and/or LLM solutions.
• Systematically test your models' performance and optimize their robustness, accuracy, and creative capabilities under real-world conditions.
• Work closely with the software development team to integrate the latest R&D results into the product codebase.
• Optimize your solutions for execution on different platforms and prepare them for transition into reliable products.
• Together with the product manager, you will be responsible for creating accurate project estimates regarding time and effort.

Requirements:

• At least 3 years of professional experience in AI software development.
• Strong Python programming skills.
• Hands-on experience in developing and benchmarking AI algorithms across modalities.
• Knowledge of CV frameworks (OpenCV, PyTorch, Keras, TensorFlow) and/or NLP/LLM frameworks (Hugging Face Transformers, Sentence Transformers).
• Familiarity with computer vision architectures (MobileNet, ResNet, YOLO) and/or transformer architectures (BERT, GPT, LLaMA).

Advantages:

• Experience with prompt engineering, fine-tuning, and alignment techniques, RAG (Retrieval-Augmented Generation) systems and agentic frameworks.
• Experience with Docker and containerized deployments.
• Experience with model optimization techniques (quantization, distillation, pruning).
• Experience in C++.
• Experience with TensorRT/CUDA/CuDNN for efficient inference.
• Experience in 3D Vision, SLAM, or related technologies.
• Experience with generative AI and related models (Stable Diffusion, GANs, VAEs).
• Solid understanding of generative AI concepts including prompting strategies, controllable generation, and synthetic data creation.
• Experience with multimodal models like CLIP, DALL-E, Midjourney, or Vision Transformers.
• Experience in orchestrating multiple generative models in production systems.

Profile:

• University degree in Computer Science, AI, or a related technical field, or comparable work experience.
• Proficient in spoken and written English.
• Proven track record of delivering AI solutions.
• Detail-oriented and organized.
• Independent thinker with ability to work across multiple AI domains.