Prompt Engineer

Warszawa - Poland

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Viseven Group is a leading global B2B MarTech service provider empowering Pharma and LifeScience companies since 2009. Our mission is to drive digital transformation and excellence offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry. The companys solutions products and services are actively used by the top 100 Pharma and Life Science companies.

At Viseven our rapidly growing team boasts over 700 highly skilled professionals including experts in development design business analysis project management delivery sales marketing and customer success.

With a global footprint in more than 30 countries across the US LATAM Europe and APAC and physical offices in Ukraine Poland Estonia India and the US we are well-positioned to serve our diverse clientele.

Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.

Responsibilities:

Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.
Develop test and refine prompts for a variety of use cases ensuring high accuracy and relevance in generated outputs.
Troubleshoot and resolve prompt-related issues and bugs in a timely manner.
Design multi-step prompt workflows including agentic patterns tool calling and retrieval-augmented generation (RAG) setups.
Work closely with software developers to integrate LLM solutions into Product.
Define and maintain qualitative and quantitative evaluation metrics for LLM outputs (e.g. accuracy relevance safety latency cost).
Contribute to the development of a scalable framework for prompt engineering promoting reuse and knowledge sharing across different business units.
Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
Document prompt engineering processes best practices and use case outcomes to build a comprehensive knowledge base.

Requirements:

Bachelors degree in Computer Science Engineering Mathematics or related field with 4 years of experience in AI/ML NLP or applied LLM systems.
Hands-on experience with LLM-powered systems including RAG embeddings function/tool calling and orchestration frameworks.
Familiarity with tools such as OpenAIs GPT models Hugging Face etc.
Experience evaluating LLM outputs and debugging failure modes such as hallucinations prompt leakage and edge cases.
Proficiency in Python or other programming languages commonly used in AI/ML development.
Strong problem-solving skills and attention to detail.
Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
Ability to work collaboratively in a team environment and adapt to changing project requirements.
English proficiency - upper-intermediate level or higher.

Required Experience:

Viseven Group is a leading global B2B MarTech service provider empowering Pharma and LifeScience companies since 2009. Our mission is to drive digital transformation and excellence offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry. The ...

Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.

Responsibilities:

Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.
Develop test and refine prompts for a variety of use cases ensuring high accuracy and relevance in generated outputs.
Troubleshoot and resolve prompt-related issues and bugs in a timely manner.
Design multi-step prompt workflows including agentic patterns tool calling and retrieval-augmented generation (RAG) setups.
Work closely with software developers to integrate LLM solutions into Product.
Define and maintain qualitative and quantitative evaluation metrics for LLM outputs (e.g. accuracy relevance safety latency cost).
Contribute to the development of a scalable framework for prompt engineering promoting reuse and knowledge sharing across different business units.
Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
Document prompt engineering processes best practices and use case outcomes to build a comprehensive knowledge base.

Requirements:

Bachelors degree in Computer Science Engineering Mathematics or related field with 4 years of experience in AI/ML NLP or applied LLM systems.
Hands-on experience with LLM-powered systems including RAG embeddings function/tool calling and orchestration frameworks.
Familiarity with tools such as OpenAIs GPT models Hugging Face etc.
Experience evaluating LLM outputs and debugging failure modes such as hallucinations prompt leakage and edge cases.
Proficiency in Python or other programming languages commonly used in AI/ML development.
Strong problem-solving skills and attention to detail.
Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
Ability to work collaboratively in a team environment and adapt to changing project requirements.
English proficiency - upper-intermediate level or higher.

Required Experience: