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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 company's 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:
- Bachelor's 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 OpenAI's 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.
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