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Prompt Engineer
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Prompt Engineer

438 - 466 USD/dayNet per day - B2B
438 - 466 USD/dayNet per day - B2B
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Hybrid

Tech stack

    prompt engineer

    advanced

Job description

·        Job Title: Prompt Engineer

·        Location: Krakow, Poland (3 days onsite)

·        Duration: Contract (B2B)


Job Description: 


Skill Area:

Prompt Engineering Experience : Proven experience (2+ #LLM production projects) designing and deploying prompts in real-world applications.            

Prompt Design Expertise: Excellent understanding of prompts structure, contexts            

Python Proficiency: Proficiency in #Python, including experience with LLM APIs, prompt engineering frameworks, and data manipulation tools (e.g. Pandas).        

Advanced LLM Techniques: Experience with at least one fine-tuning or #RAG pipeline implementation.              

Evaluation & Validation: Familiarity with prompt evaluation tools, metrics (e.g., BLEU, ROUGE, semantic similarity), and human-in-the-loop validation. 

Security Awareness: Understanding of LLM-related security concerns, such as prompt injection, output filtering, and API limitations, output structuring              

Communication Skills: Excellent communication skills and ability to translate complex document requirements into actionable prompt logic.   

Analytical Thinking: Strong analytical mindset with attention to both high-level design and low-level output consistency.     

Vector DB & RAG Experience: Experience with vector databases and RAG             

Tool Exposure: Exposure to LangChain, LlamaIndex, or similar     

Document Processing: Prior work with OCR, NLP, or IDP pipelines             

 

 

MUST HAVE JD SKILLS as below:

Proven experience (2+ LLM production projects) designing and deploying prompts in real-world applications.

Excellent understanding of prompts structure, contexts

Proficiency in Python, including experience with LLM APIs, prompt engineering frameworks, and data manipulation tools (e.g. Pandas).

Experience with at least one fine-tuning or RAG pipeline implementation.

Familiarity with prompt evaluation tools, metrics (e.g., BLEU, ROUGE, semantic similarity), and human-in-the-loop validation.

Understanding of LLM-related security concerns, such as prompt injection, output filtering, and API limitations, output struturing

Excellent communication skills and ability to translate complex document requirements into actionable prompt logic.

Strong analytical mindset with attention to both high-level design and low-level output consistency.


GOOD TO HAVE JD SKILLS as below

Experience with vector databases and retrieval-augmented generation.

Exposure to tools like LangChain, LlamaIndex, or similar.

Prior work with OCR, NLP, or intelligent document processing (IDP) pipelines.


438 - 466 USD/day

Net per day - B2B

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