AI Engineer

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Full Stack Developer, ideally with AI-focused projects.
• Proficiency in Python (back-end) and JavaScript (front-end).
• Strong knowledge of LLMs and GenAI: selection, tuning, embeddings.
• Hands-on experience with API development and integration.
• Practical expertise with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Familiarity with SQL/NoSQL databases and caching systems (e.g., Redis).
• Knowledge of vector databases for LLM applications.
• Experience with Git, CI/CD pipelines, and DevOps practices.
• Fluency in both Polish and English.

Nice to Have

• Familiarity with streaming/real-time data systems (e.g., Kafka).
• Experience with serverless computing (e.g., AWS Lambda).
• Background in ML frameworks (TensorFlow, PyTorch, ONNX).
• Understanding of AI data security and compliance standards.

Soft Skills

• Strong problem-solving mindset and ability to work both independently and collaboratively.
• Excellent communication skills to translate technical concepts into actionable tasks.
• Curiosity and proactive learning approach toward emerging AI technologies.

We are looking for a skilled AI Engineer with strong Full Stack Development expertise, who can seamlessly combine cutting-edge Generative AI (GenAI) technologies – including Large Language Models (LLMs) – with modern web applications. This role blends software engineering with advanced machine learning knowledge, focusing on delivering AI-powered solutions that are intuitive, scalable, and impactful.

Key Responsibilities

Model Integration & API Development

• Embed LLMs and other GenAI models into web apps through well-designed, efficient APIs.
• Build and optimize endpoints to ensure smooth real-time communication between front-end and AI back-end systems.
• Design secure, scalable, and high-performance microservices for AI deployment.

Front-End Development

• Develop engaging and responsive user interfaces (JavaScript/TypeScript) to showcase and interact with AI-driven features.
• Build components for visualizing and managing AI model outputs.

Back-End & AI Pipelines

• Create reliable back-end services in Python to support large-scale GenAI models.
• Develop and maintain data pipelines — from preprocessing to post-processing model results.
• Apply best practices for handling sensitive data and ensuring consistent model performance.

Infrastructure & Deployment

• Use Docker and Kubernetes for containerization and orchestration.
• Build and maintain CI/CD pipelines to automate testing and deployments.
• Manage secure and scalable cloud environments (AWS, GCP, or Azure) for training, hosting, and running models.

GenAI & LLM Expertise

• Work with vector databases (Pinecone, Weaviate, Faiss) to support semantic search and recommendation systems.
• Utilize frameworks such as Hugging Face Transformers, LangChain, and OpenAI APIs.
• Fine-tune and optimize LLMs to fit application requirements.

This is an exciting opportunity to contribute to next-generation AI applications that leverage LLMs and Generative AI to transform how intelligent software is built and delivered.

Why apply for an Antal job offer?

When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process.

About Antal

Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research.

Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams.

,[Build production-grade ML models for document classification and content extraction (images and text)., Develop OCR/NLP-based AI components in Python using modern AI frameworks., Work closely with product teams and business stakeholders in an iterative, agile environment., Contribute to the full lifecycle of ML products – from development and testing to deployment and support., Help shape future-state architecture and scalable AI-based platforms.] Requirements: Python, Backend, JavaScript, API, Docker, Kubernetes, Cloud platform, GCP, Azure, SQL, NoSQL, Redis, Git, DevOps, CI/CD, Kafka, Serverless computing, AWS Lambda, TensorFlow, PyTorch

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