AI Engineer

Job Description

Job Description:

We have developed a comprehensive intra-organizational communication platform that includes Meet services, conferencing, task management, and other team collaboration tools.
We are now expanding this infrastructure with artificial intelligence technologies to transform it into an intelligent and integrated system that elevates team productivity and user experience.
To support this vision, we are looking for an AI Engineer experienced in language models, speech technologies, and knowledge management to join us in designing and developing the next generation of organizational agents, RAG systems, and data analysis tools.


Responsibilities:

Design and implement a Knowledge Management System (KMS)
Develop and fine-tune speech models (TTS, STT)
Design and deploy intelligent agents based on language models capable of task automation, decision-making, and user/system interaction
Build and optimize RAG pipelines for real-time access to internal and external data


Required Skills:

Solid understanding of LLMs, embeddings, and RAG pipelines
Experience in prompt engineering for agent development
Familiarity with Docker and Linux environments
Strong knowledge of PyTorch for model development and evaluation
Familiarity with asynchronous programming, multi-threading, and multi-processing concepts
Proficiency in Python and FastAPI framework


Preferred Skills:

Familiarity with LangChain, Hugging Face, or VLLM
Experience with Airflow or MLflow tools
Experience in fine-tuning language models or optimizing open-source models using techniques such as Full Fine-tuning, LoRA / QLoRA, PEFT, or Domain Adaptation


Personal Qualities & Work Culture:

Analytical and structured problem-solving mindset
Passionate about continuous learning and practical R&D
Strong collaboration and communication skills
Understanding of back-end development concepts


Benefits:

Opportunity to learn and work with the latest AI technologies
Be part of a challenging, creative, and impactful project
Dynamic, friendly, and research-oriented work environment
Rapid growth potential and collaboration with a multidisciplinary team