Prompt Engineer

Prompt Engineer

Source: remoteok

Viseven Group is an international MarTech company specializing in interactive content and cloud solutions for global pharmaceutical companies since 2009. Continuous growth and self-development are embedded in our corporate DNA. Our unique developments and approaches are actively used in more than 50 countries worldwide. Viseven solutions are presented at major industry events in Barcelona, Philadelphia, London, etc.

The rapidly growing team includes over 700+ highly qualified technical and non-technical experts: front- and back-end developers, BA specialists and managers, who create, localize and configure programs in offices around the world: Zhytomyr (Ukraine), Tallinn (Estonia), New Delhi (India), Bridgewater (USA).

Responsibilities:

• Collaborate with industry experts to identify business needs and transform them into clear and effective prompts for LLMs.
• Develop, test, and improve prompts for various use cases, ensuring high accuracy and relevance of generated results.
• Proactively identify and resolve issues and errors related to prompts.
• Design multi-step prompt workflows, including agentic patterns, tool calling, and retrieval-augmented generation (RAG) solutions.
• Work closely with software developers to integrate LLM solutions into the product.
• Identify and maintain qualitative and quantitative metrics for evaluating LLM results (including accuracy, relevance, security, latency, cost).
• Participate in the development of a scalable framework for prompt engineering to reuse solutions and share knowledge between business areas.
• Assist in collecting and analyzing user feedback to continuously improve prompt effectiveness.
• Track the development of LLM technologies and participate in the strategic selection of tools and platforms.
• Document prompt engineering processes, best practices, and implementation results to build a structured knowledge base.

Requirements:

• Bachelor's degree in computer science, engineering, mathematics, or a related field and at least 4 years of experience in AI/ML, NLP, or applied LLM-based systems.
• Practical experience working with LLM-based systems, including RAG, embeddings, function/tool calling, and orchestration frameworks.
• Experience working with tools like GPT models from OpenAI, Hugging Face, etc.
• Experience evaluating LLM results and analyzing typical errors (hallucinations, prompt leakage, edge cases, etc.).
• Proficient in Python or other programming languages used in AI/ML development.
• Advanced analytical skills and attention to detail.
• Excellent communication skills, ability to explain complex technical concepts to non-technical stakeholders.
• Ability to work in a team and adapt to changing project requirements.
• English language proficiency - Upper-Intermediate or higher.