Who we need
We are looking for a Prompt Engineer to join our Product HQ and optimize production-grade LLM solutions across the company. This role focuses on systematically designing, testing, and refining prompts for real business impact — improving operational AI use cases, supporting text-to-SQL and automation initiatives, and establishing best practices in experimentation, evaluation, and prompt versioning to ensure measurable, scalable performance gains.Job responsibilities
- Design, refinement, and maintenance of prompts for classification models (e.g., communication tagging, call transcript analysis) to achieve target accuracy metrics.
- Development of prompts for generative applications, including writing assistants, dialogue сценарии for voice bots, and structured data formatting.
- Systematic analysis of model outputs to identify classification errors, edge-case failures, and tone inconsistencies — independently designing and testing solutions.
- Maintaining prompt documentation and version history; ensuring reproducibility of results when models are updated.
- Collaboration with LLM engineers to align prompts with model capabilities, as well as with product and analytics teams to define acceptance criteria and translate business requirements into model logic.
- Participation in the development of evaluation frameworks: defining test cases, creating “golden” datasets, and designing accuracy metrics for prompt-driven features.
Key qualifications
- 2+ years of experience in QA, data analysis, technical writing, or a related role requiring a systematic approach to iterations and documentation.
- Proven hands-on experience in prompt engineering (personal projects, current role, or portfolio) with measurable results.
- Strong analytical thinking: ability to formulate hypotheses about why a model produces response A instead of B, design tests, and iterate based on findings.
- Attention to detail: willingness to review hundreds of model outputs to identify error patterns.
- Clear documentation skills: writing prompts and notes in a way that others can understand and maintain.
- Basic understanding of how LLMs work: familiarity with concepts such as temperature, context window, and instruction-following.
- Experience with classification tasks: tagging, categorization, entity extraction.
- Familiarity with model evaluation and monitoring tools (e.g., Langfuse or similar).
- Experience in customer support, travel, or operational environments.
- Knowledge of voice or conversational AI systems (dialogue design, turn-taking logic).
- Experience working with JSON and basic knowledge of regular expressions (regex).
We offer you
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Flexible schedules and opportunity to work remotely.
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Ambitious and supportive team who love what they do, appreciate each other, and grow together.
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Internal programs for adaptation and training, development of soft skills, and leadership abilities.
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Partial compensation for participating in external training and conferences.
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Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
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Corporate prices on hotels and travel services.
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MyTime Day Off - an extra non-working day without loss of compensation.
Product
Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.
Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.
More about our company and mission
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