About the Role
RichBrains 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.
Responsibilities
•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
Requirements
•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
Nice to Have
•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 AgentCore, Databricks AgentBricks, or Azure AI Foundry
•Experience with monitoring, observability, and evaluation tools for AI systems
Conditions
•Corporate events, corporate perks and discounts
•Working hours: 11:00–20:00 GMT+3
