We are seeking a highly skilled and experienced Prompt Engineer / AI/ML Engineer with a strong background in developing and deploying production-grade AI solutions, to join our client team.

The ideal candidate will have a deep understanding of software engineering best practices, with a focus on building scalable, robust, and efficient systems. This role requires a candidate with a minimum of 10 years of overall IT experience and a proven track record of delivering impactful machine learning and AI applications.

Key Responsibilities

Design, develop, and deploy scalable and clean code architecture, with a focus on Python-based microservices (e.g., FastAPI, Flask, asyncio).

Integrate and manage APIs using patterns like REST and Kafka for seamless inter-service communication.
Implement robust authentication and authorization mechanisms using technologies such as OAuth2, JWT, and Azure AD.
Develop and deliver at least two production-grade ML/AI solutions, with a strong preference for experience in NLP, document understanding, or search/retrieval systems.
Work hands-on with advanced AI architectures, including RAG (Retrieval-Augmented Generation), LLMs (e.g., OpenAI, Anthropic), embeddings, and vector databases (e.g., FAISS, Azure AI Search).
Apply and master various NLP techniques such as named entity recognition (NER), document classification, chunking, summarization, and question answering.
Evaluate technical trade-offs and select the most appropriate ML/AI models and techniques for a given problem.
Drive PoC (Proof of Concept) development, rapidly iterating and refining solutions based on feedback and results.
Utilize and gain familiarity with agentic frameworks like LangChain and LlamaIndex.
Perform debugging, profiling, and performance tuning to optimize AI applications for efficiency and speed.

Required Skills and Experience (Must-Haves)

10+ years of total experience in the IT industry.

Solid experience with Python and building scalable, clean code architectures.
Proven expertise in API integration patterns (REST, Kafka).
Extensive knowledge of authentication and authorization mechanisms (OAuth2, JWT, Azure AD).
A minimum of two ML/AI solutions delivered to production, with demonstrable experience in NLP, document understanding, or search systems.
Practical, hands-on experience with RAG architectures, LLMs, embeddings, and vector databases.
Strong grasp of NLP techniques (NER, classification, chunking, summarization, QA).
Ability to rapidly develop PoCs and iterate on solutions.
Familiarity with agentic frameworks like LangChain or LlamaIndex.
Excellent debugging, profiling, and optimization skills for AI applications.

Preferred Skills (Good to Have)Experience with OCR libraries such as Tesseract or Azure Form Recognizer.

Other details

Location: Krakow, Poland
Hybrid Model – 3 days per week in-office (mandatory)
Contract Duration: 6 months (extendable)
Job Type: Contract (B2B / Freelance)

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