Ai engineer automation

Rich Brains is looking for a proactive AI Engineer to take full ownership of AI initiatives, architect and implement advanced solutions that support development workflows, knowledge systems, and intelligent agent-based automation. In this role, you will design scalable AI systems powered by modern LLMs while collaborating closely with clients and internal teams to translate business challenges into practical AI-driven solutions. You will play a key role in researching emerging LLM technologies and applying them to deliver high-impact products.

This is an opportunity to deepen your expertise in AI engineering while building reliable, production-grade AI systems tailored to real-world business needs.

• Design and develop AI-powered applications and intelligent automation solutions.
• Work with clients and internal stakeholders to identify opportunities for LLM-based solutions.
• Build and maintain data pipelines, prompt architectures, and datasets for AI models.
• Evaluate and optimize AI systems for accuracy, reliability, scalability, and security.
• Validate technical approaches and ensure solutions deliver measurable business impact.
• Stay current with LLM technologies, frameworks, and best practices to improve implementations.
• Take initiative and responsibility for decisions, lead discussions, and contribute ideas without waiting for instructions.

• Understand the AI development lifecycle from experimentation to production deployment.
• Have experience with modern LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, or Google Gemini.
• Know advanced AI system architectures, including Retrieval-Augmented Generation (RAG) and AI agents.
• Have experience deploying scalable AI solutions with attention to performance, reliability, and cost efficiency.
• Be able to evaluate generative AI outputs using retrieval validation, classification, or LLM-based evaluation methods.
• Have proven experience delivering AI or machine learning solutions in production environments.
• Have strong analytical and problem-solving skills and attention to detail.
• Have good written and spoken English communication skills (B2 or higher).
• Be located in the CEST/CET zone and able to work between 11:00 and 20:00 GMT+3.
• Будет плюсом:
• experience designing experiments and performing A/B testing to improve model performance
• knowledge of retrieval systems
• vector databases, and ranking techniques
• experience deploying AI systems on cloud platforms such as Azure OpenAI or Amazon Bedrock
• familiarity with enterprise AI platforms like AWS Agent Core, Databricks Agent Bricks, or Azure AI Foundry
• experience with monitoring, observability, and evaluation tools for AI systems

• Corporate events, corporate perks and discounts
• Working hours:
  
  11:00–20:00 GMT+3