Mid Prompt Engineering Specialist

🔥 0 minutes ago

🇬🇷 Greece – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🖥 Software Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

inventYOU IT Consulting

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

inventYOU IT Consulting is a leading IT consulting firm founded in Sweden in 2017, specializing in both onsite and nearshoring professional IT services. The company offers innovative IT solutions to a diverse range of clients, from start-ups to large enterprises, aiming to help them achieve their business goals and maximize their IT investments. With a focus on maintaining a positive mindset, creating purposeful partnerships, and always delivering business value, inventYOU prides itself on being results-oriented and agile. The company provides nearshoring services from Athens, Greece, allowing access to a vast pool of skilled IT professionals, with the advantage of working within the same time zone and offering seamless Swedish-speaking project management.

📋 Description

• 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

• 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

• 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