AI Engineer – HU, RO, SRB

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Create AI-driven applications, including chatbots, retrieval-augmented generation (RAG) systems, voice agents, and agentic workflows.

• Implement integrations of large language models (LLMs) through foundation model APIs such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Google AI.

• Construct and enhance RAG pipelines, focusing on document processing, chunking, embedding, and retrieval.

• Utilize prompt engineering and context engineering methods to refine LLM performance and output quality.

• Seamlessly integrate AI functionalities into existing software infrastructures.

• Establish observability and monitoring frameworks for AI applications.

• Produce clean, maintainable, and well-documented code while adhering to best practices.

• Develop tests, engage in code reviews, and address issues within AI applications.

• Optimize AI solutions for enhanced performance, cost-effectiveness, and reliability.

• Adhere to established coding standards and development workflows.

• Collaborate with AI Solutions Architects to execute technical specifications.

• Work alongside project teams and quality assurance to ensure high-quality solutions.

• Participate in agile ceremonies and provide accurate effort estimates.

• Keep abreast of the latest AI tools and contribute to knowledge sharing initiatives.

⛳️ Requirements

• At least 3 years of experience in software development.

• Proven experience in building applications from initial requirements through to deployment.

• Previous experience with AI/LLM projects is highly advantageous.

• Proficient development skills in at least one modern programming language (Python is strongly preferred; other acceptable languages include TypeScript/JavaScript, C#, Java).

• Familiarity with RESTful APIs, HTTP protocols, and API integration processes.

• Understanding of software architectural patterns and industry best practices.

• Comfortable using Git for version control.

• Knowledge of Large Language Models and their practical implementations.

• Enthusiasm for working with LLM APIs and engaging in programmatic interactions.

• Basic understanding of prompt engineering techniques.

• Interest in RAG, chatbots, voice agents, or agentic systems.

• Strong analytical thinking and problem-solving abilities.

• Capability to decompose complex problems into manageable parts.

• Quick to learn new technologies.

• Effective communication skills in English.

• Self-motivated team player with a solid understanding of agile methodologies.

🏝️ Benefits

• Flexible working schedule.

• Opportunities to work on international projects.

• Provision of a home office kit.

• Comprehensive healthcare benefits and additional perks.