Senior AI Engineer – LLM & Agentic Systems

• Fast growing company with strong and stable international background
• Interesting company scope with improvement opportunities
• Market level compensation package
• Inspiring work atmosphere
• Great team work and familiar company culture
• Opportunity for joining a new Hungarain team with great ambitions
• Hybrid working model (around 10% onsite)

Responsibilities

• Generative AI Production: Design, implement, and operate services based on modern Large Language Models (LLMs) for productive systems.

• Agentic Workflows: Build intelligent, autonomous agent-based workflows together with our development teams.

• Cloud Architecture: Design and implement scalable microservice architectures that deliver AI functionality in cloud environments (Azure, GCP or AWS).

• RAG Optimization: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines as well as prompt and tool integrations.

• Cross-Functional Integration: Partner closely with various business departments, product, data, and infrastructure teams to integrate AI solutions into existing systems and business processes.

• Performance & Evaluation: Ensure the performance, scalability, and reliability of AI services through monitoring, testing, and deployment, while continuously evaluating new Generative AI trends.

Requirements

• Relevant Education: Successfully completed a degree in computer science, data science, software engineering, mathematics, or a comparable field is a big advantage.

• AI & ML Experience: Proven track record in developing AI- or ML-based applications, ideally with a strong focus on Large Language Models (LLMs).

• Programming & Frameworks: Sound knowledge of Python and hands-on experience with relevant AI libraries and frameworks, such as LangChain and LangGraph.

• Cloud & Microservices: Experience with cloud platforms (primarily Azure or AWS) and designing distributed systems or microservice architectures using Java and Spring Boot.

• API & Core Concepts: Deep familiarity with developing and integrating APIs, container technologies (Docker, Kubernetes), prompt engineering, RAG, vector databases, and agent-based systems.

• CI/CD & MLOps: Knowledge or experience with CI/CD, MLOps, or LLMOps practices is considered a strong plus.

• Consultative & Communication Skills: Excellent teamwork, solution-oriented mindset, and very good English communication skills (written and spoken) to effectively advise business departments; German knowledge is a plus.