AI Engineer

Responsibilities

• Design and implement end-to-end AI solutions, including intelligent agents, internal assistants, and automated LLM-based workflows
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for precise and contextualized responses
• Integrate LLM APIs (OpenAI, Anthropic) and orchestration frameworks (LangChain, LangGraph, N8n) to build multi-step and stateful agents
• Collaborate with product, design, and data teams to define use cases, success metrics, and AI-driven user experiences
• Implement observability and model evaluation practices (e.g., LangSmith) to ensure quality, traceability, and continuous improvement
• Maintain CI/CD pipelines and engineering standards to guarantee quality, security, and scalability
• Participate in code reviews, technical discussions, and the definition of best practices in applied AI

Requirements

• University degree in Systems Engineering, Computer Science, or related fields
• 3–6 years of software development experience with 1–2 years working with language models in production environments
• Practical experience with LLM APIs (OpenAI, Anthropic, etc.) and large-scale prompt engineering
• Knowledge of agent frameworks and orchestration (LangChain, LangGraph, AutoGen, or similar)
• Experience with vector databases and semantic search
• Solid software engineering fundamentals: clean code, testing, version control, and CI/CD
• Ability to define and measure AI metrics such as latency, success rate, hallucination rate, and user satisfaction

About the Company

VON DER HEIDE believes that talent is the engine of success, and our passion is accompanying organizations in building teams that generate impact in their search for evolution.