AI Engineer

Role Overview

• Design, test, and validate prompts using techniques such as zero-shot, few-shot, chainof-thought, and agentic prompting
• Collaborate with teams to optimize prompts for performance, accuracy, and safety
• Implement guardrails using input/output validation mechanisms including prompt injection prevention, toxicity filtering, and hallucination detection
• Integrate solutions with LLM observability platforms to orchestrate, monitor, safeguard and optimize the use of LLMs within our applications
• Support AI risk assessments and compliance efforts
• Support the integration of LLM workflows into products and services.

Requirements

• Hands-on experience with prompt engineering and optimization frameworks (e.g. DSPy)
• Experience working with LLM orchestration tools (e.g. Langflow, Flowise)
• Familiarity with AI guardrailing techniques (e.g. Guardrails AI, LLM Guard)
• Experience with monitoring, logging, and traceability in AI systems (e.g. Langfuse, MLFow, Logfire)
• Knowledge of AI governance and risk management practices
• English language proficiency (B2/C1 level)
• Some familiarity with LLM APIs and SDKs (e.g. LangChain, OpenRouter, Pydantic AI, Vercel AI SDK)
• Ability to work cross-functionally and communicate complex AI concepts clearly.
• Experience setting up and working with MCP/A2A is a plus.

Benefits

• Full medical insurance
• MacBook & accessories
• English lessons
• Accountant assistance
• Minimal bureaucracy, synergy, and formalities, primarily focusing on effective communication