LLM Application Engineer: Build Reliable AI Agent Workflows

ActAI; Lavamünd; Vor Ort; EUR 80.000 - 130.000; Vollzeit

Zusammenfassung

ActAI is hiring an LLM Application Engineer to build the intelligence layer powering our AI experiences. You will work at the intersection of LLMs, software engineering, and product, designing agent workflows, improving model behavior, and turning AI capabilities into reliable user experiences.

You will own problems end-to-end, from understanding user needs to integrating models and tools, building evaluation systems and continuously improving AI in production.

Qualifikationen

• Strong software engineering fundamentals with experience building AI-powered applications.
• Hands-on experience with LLMs, generative AI, or agent-based systems.
• Experience designing prompts, workflows, evaluations, or AI behaviour.
• Ability to write clean, production-quality code.
• Strong problem-solving skills in ambiguous, fast-moving environments.
• Bias toward shipping, iteration, and continuous improvement.

Aufgaben

• Build and ship LLM-powered applications and AI agent workflows.
• Design systems for reasoning, planning, memory, tool use and multi-step execution.
• Build reliable orchestration pipelines turning model outputs into actionable steps.
• Integrate LLMs with APIs, databases, search, internal services, and external tools.
• Develop prompting, context engineering, structured outputs, and tool-calling techniques.
• Build evaluation frameworks and datasets to measure AI quality and regressions.
• Debug AI systems across model behavior, prompts, orchestration, and backend services.
• Optimize AI systems for quality, latency, and cost.
• Collaborate with product and engineering to turn problems into AI solutions.

Kenntnisse

Strong software engineering

LLM/AI proficiency

Prompt design

Production-quality code

Problem solving in ambiguity

Shipping mindset

Tools

Python

PyTorch

JAX

LLM APIs

Jobbeschreibung

ActAI is hiring an LLM Application Engineer to build the intelligence layer powering our AI experiences. You will work at the intersection of LLMs, software engineering, and product, designing agent workflows, improving model behavior, and turning AI capabilities into reliable user experiences.

You will own problems end-to-end, from understanding user needs to integrating models and tools, building evaluation systems and continuously improving AI in production.