Mid Prompt Engineering Specialist

We are looking for a Prompt Engineering Specialist to design, optimize, evaluate, and maintain prompts for Large Language Model (LLM) applications.
In this role, you will work with modern LLM platforms and orchestration frameworks, collaborating with Business Analysts, domain experts, and technical teams to translate functional requirements into effective and reliable prompt strategies.
Key Responsibilities
Design, test, and iteratively refine prompts for LLM-based applications
Develop and maintain prompt libraries, templates, and reusable prompt components
Evaluate and benchmark prompt performance across different LLM platforms and model versions
Translate functional and business requirements into effective prompt strategies
Apply advanced prompt-engineering techniques, including zero-shot, few-shot, RAG, role prompting, and structured output prompting
Identify and mitigate risks such as hallucinations, prompt injection, data leakage, bias, and inconsistent outputs
Define and document prompt design decisions, evaluation criteria, and version history
Support testing, Quality Assurance, and User Acceptance Testing activities for LLM solutions
Develop automation and testing pipelines for prompt evaluation
Integrate prompts and LLM capabilities through APIs
Provide guidance and knowledge transfer to technical and non-technical stakeholders on effective LLM interaction patterns
Requirements
Minimum 2 years of professional experience working with and optimizing LLMs and/or prompt development and engineering
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, IT, or a closely related field; alternatively, a non-university degree with at least 5 years of IT experience
Hands-on experience with major LLM platforms and APIs, such as:
OpenAI / GPT
Anthropic / Claude
Mistral
Meta LLaMA
Equivalent commercial or open-source models
Strong knowledge of prompt design techniques, including zero-shot, few-shot, RAG, role prompting, and structured output prompting
Experience with LLM orchestration frameworks
Programming skills for prompt automation, testing pipelines, and API integration
Experience with methodologies for evaluating LLM outputs, including human evaluation and automated metrics
Understanding of LLM architecture and tokenization sufficient to support effective prompt-design decisions
Understanding of common LLM risks, including hallucination, prompt injection, data leakage, and bias
You will be a great candidate for us if you
Have a strong understanding of how different LLMs respond to prompt design and context
Enjoy experimenting, evaluating, and systematically improving AI outputs
Can translate business requirements into structured and reusable prompt strategies
Have a quality-focused approach to LLM testing and evaluation
Understand both the technical and business aspects of Generative AI solutions
Can communicate AI concepts effectively to technical and non-technical stakeholders
Benefits
Why join inventYOU
Work on innovative Generative AI and LLM-based solutions
Gain hands-on exposure to multiple commercial and open-source LLM platforms
Work with modern prompt engineering, RAG, orchestration, and evaluation techniques
Collaborate with experienced AI, technology, and business professionals
Continue developing your expertise in LLM engineering and enterprise Generative AI

Work arrangement
No