Senior ML Engineer - LLM & Agentic Systems
@ Novasign

Vienna, Austria
€60,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @novasign.com
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Job Details

About the Role

At Novasign, we are redefining bioprocessing with our innovative Novasign Studio platform. As a Senior ML Engineer - LLM & Agentic Systems, you will drive productization of AI capabilities in real-world applications for life-saving therapies, enzyme manufacturing, and sustainable food technologies.

Key Responsibilities

  • Design and implement context-aware AI assistants and agentic conversational interfaces.
  • Develop knowledge extraction and document understanding systems.
  • Engineer multi-provider LLM infrastructure with abstraction layers.
  • Build compliant data pipelines and evaluation frameworks.
  • Implement LLM MLOps and develop RESTful and gRPC APIs.
  • Collaborate with UX/UI, ML, and platform teams.
  • Monitor and assess emerging LLM/agent capabilities.

Required Skills & Experience

This role requires a Master’s degree in Computer Science or related fields and 5+ years of software engineering experience, including 3+ years focused on LLMs and conversational AI. Candidates must have expertise in Python, modern LLM architectures, and production AI systems.

Technical Environment

  • Python, FastAPI, gRPC, Docker, Kubernetes
  • LLM frameworks: OpenAI, Anthropic, Hugging Face, LangChain
  • Distributed computing, GPU optimization, CI/CD workflows
  • Vector databases: Pinecone, Weaviate, Chroma

Benefits & Work Culture

Join an international team that values innovation, constructive criticism, and professional growth. Enjoy an attractive, competitive package and benefits including a free food allowance and generous holidays.

Key skills/competency

  • Deep Learning
  • LLM
  • Agentic Systems
  • Python
  • API Development
  • MLOps
  • Distributed Computing
  • Docker
  • Kubernetes
  • Data Pipelines
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How to Get Hired at Novasign

🎯 Tips for Getting Hired

  • Customize your resume: Highlight LLM and AI achievements.
  • Study Novasign: Understand their bioprocessing innovations.
  • Prepare technical examples: Showcase past ML projects.
  • Practice interview questions: Emphasize software engineering skills.

📝 Interview Preparation Advice

Technical Preparation

Review LLM frameworks and Python libraries.
Practice API development with FastAPI and gRPC.
Refresh Docker, Kubernetes, CI/CD fundamentals.
Study distributed computing and GPU optimization.

Behavioral Questions

Explain a challenging technical project.
Describe teamwork during a critical deadline.
Detail an instance of problem solving.
Discuss handling feedback constructively.

Frequently Asked Questions