Machine Learning Engineer

About the job

You will be working on building multifunctional agent-based AI solutions, developing and enhancing intelligent agents, and implementing modern approaches such as RAG, Langchain, and LLMOps. Experience in computer vision is a strong advantage, as this role includes designing, integrating, and supporting new vision-based solutions. Proficiency in Python is essential for this position.

Key Responsibilities:

• Design and implement advanced AI solutions and agent-based architectures

• Configure and optimize Retrieval-Augmented Generation (RAG) pipelines

• Work with image recognition and computer vision technologies

• Integrate and optimize neural networks for mobile applications

• Apply metric learning approaches and embedding processing techniques

• Enhance chatbot performance using Langchain, LangGraph, and LLMOps tools

• Analyze user behavior to improve the system’s accuracy and natural interaction

• Collaborate closely with engineers and product teams to test and deploy enhancements

• Stay up-to-date with the latest trends in LLMs and conversational AI systems

What We’re Looking For:

• Experience with NLP methods and practical skills in training and fine-tuning open-source or proprietary LLMs

• Background in developing for mobile applications

• Flexibility to work on both NLP and computer vision tasks based on product priorities

• Hands-on experience building AI agents and agent-based architectures

• Solid understanding of RAG concepts and their real-world application

• Strong Python programming skills and familiarity with vector databases

• Proficiency with Langchain, LangGraph, and best practices in LLMOps

• Analytical mindset and a proactive approach to testing new ideas

• Passion for artificial intelligence and a desire for continuous learning and growth

If you’re passionate about cutting-edge AI and eager to contribute to the development of intelligent agent systems, we invite you to become part of our R&D team.

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