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Mid Prompt Engineering Specialist
inventYOU IT Consulting. Design, test, and iteratively refine prompts for LLM-based applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in prompt design and optimization for LLM-based applications, with a strong focus on evaluating and improving AI outputs through effective strategies and methodologies. Capable of translating business requirements into structured prompt components while ensuring quality and compliance with LLM risks.
Highest-signal resume keywords
LLM OptimizationPrompt Design TechniquesAPI IntegrationQuality AssuranceData Science
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt DevelopmentLLM Architecture UnderstandingProgramming for AutomationEvaluation MethodologiesZero-Shot PromptingFew-Shot PromptingRAG TechniquesRole PromptingStructured Output PromptingTesting Pipeline Development
Soft Skills
Effective CommunicationStakeholder GuidanceProblem-Solving
Tools & Technologies
OpenAI / GPTAnthropic / ClaudeMistralMeta LLaMALLM Orchestration Frameworks
Industry Keywords
Generative AIPrompt InjectionData LeakageBiasHuman Evaluation
About the role
Key responsibilities & impact- 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 zero-shot, few-shot, RAG, role prompting, and structured output prompting techniques
- Identify and mitigate 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
What you’ll need- 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, or 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
- Strong understanding of how different LLMs respond to prompt design and context
- Ability to experiment, evaluate, and systematically improve AI outputs
- Ability to translate business requirements into structured and reusable prompt strategies
- Quality-focused approach to LLM testing and evaluation
- Understanding of both the technical and business aspects of Generative AI solutions
- Ability to communicate AI concepts effectively to technical and non-technical stakeholders
Benefits
Comp & perks- 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