AI/ML Engineer – LLM Systems (m/f/d)

Full-timeMid
€63K - €63K/yr

AI Tools

AnthropicChatGPTDifyHaystackLangChainLangFlowLangFuseLangGraphLangSmithLlamaIndexPydantic AI

Tech Stack

PythonLangChainLangGraphHaystackLlamaIndexPydantic AIDifyLangFlowTensorFlowPyTorchDockerPodmanOllamavLLMTensorRT-LLMLangFuseLangSmithDeepEvalSQL

Agent Workflow

Develop agentic applications with frameworks like LangChain, LangGraph, Haystack. Implement LLMOps with LangFuse/LangSmith. Build multi-agent systems with RAG and prompt engineering.

About the Role

Anexia is hiring an AI/ML Engineer for LLM Systems to drive the development and deployment of AI/ML systems, with a particular focus on Large Language Models (LLMs) and intelligent agent frameworks.

Key Responsibilities

  • Implement and operate LLM inference solutions with runtimes such as Ollama, vLLM, and TensorRT-LLM
  • Develop agentic applications with frameworks such as Dify, LangFlow, Haystack, LlamaIndex, LangChain, LangGraph, or Pydantic AI
  • Integrate AI capabilities from various providers (OpenAI, Anthropic, Groq, Cerebras) into production systems
  • Implement LLMOps practices using tools like LangFuse and LangSmith for monitoring, tracing, and observability
  • Build and optimize ML pipelines using Python, TensorFlow, PyTorch, and scikit-learn
  • Containerize and deploy AI applications using Docker and Podman
  • Work with SQL databases and implement evaluation frameworks like DeepEval

Required Qualifications

  • Hands-on experience with at least one agentic framework (LangChain, LangGraph, Haystack, LlamaIndex, Dify, LangFlow, or Pydantic AI)
  • Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Proficiency with LLM inference runtimes (Ollama, vLLM, TensorRT-LLM)
  • Experience with LLM APIs (OpenAI, Anthropic, or similar)
  • Containerization (Docker/Podman) and orchestration tools
  • Very good German and English language skills

Valued Skills: Experience with RAG, prompt engineering, or multi-agent systems.

Salary: Starting from approximately EUR 63,000/year.

Benefits: Flexible working hours, further training, mentoring program, company car, employee events.

Location: Headquartered in Klagenfurt, Austria with offices in Vienna, Graz, Karlsruhe, Nuremberg, and New York. Remote work possible within Austria/DACH region.

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