Senior AI Engineer (LLM & Training Focus)

5 Months ago • 3 Years + • Research Development

Job Summary

Job Description

The Senior AI Engineer will be responsible for developing and training large language models (LLMs) for NPC interactions and procedural storytelling within the Solid River game. This includes implementing AI pipelines for real-time conversational AI and decision-making, optimizing LLM inference for low-latency in-game responses, and working with game designers and AI programmers to integrate models into gameplay. The role also involves developing AI-driven dialogue systems and dynamic world events, and researching and implementing cutting-edge machine learning techniques. The engineer will play a crucial role in creating immersive and AI-driven gameplay experiences.
Must have:
  • 3+ years of AI/ML engineering experience, LLM training focus
  • Strong experience with Python, C++, and deep learning frameworks
  • Expertise in natural language processing and AI-driven storytelling
  • Experience optimizing LLM models for real-time game use
Perks:
  • Work on a groundbreaking AAA survival city-building game
  • Be part of a passionate and highly experienced team
  • Competitive salary and benefits package
  • Opportunity to innovate in AI-driven game development
  • A chance to grow with a rapidly expanding game studio

Job Details

Why us?

welevel GmbH is an innovative game studio based in Munich, backed by top-tier investors. We are developing Solid River, the first AAA survival game with deep city-building mechanics in the late game, set in a medieval, procedurally generated world with AI-driven NPCs.

Here’s what makes us stand out:

  • Inspiring Work Environment: A central Munich location with a diverse, motivated, and international team that fosters creativity and collaboration.
  • Competitive Compensation: We believe in rewarding talent with attractive and fair packages.
  • Innovative Technology: Work with the latest tools and technologies to push boundaries and make the impossible possible.


Your Role

We are looking for a Senior AI Engineer to drive the development of LLM-based NPC interactions and procedural storytelling. You will train and optimize large language models (LLMs) to create lifelike NPC conversations, intelligent world responses, and immersive AI-driven storytelling.


Responsibilities

  • Develop and train LLMs for NPC interactions, procedural quests, and world lore.
  • Implement AI pipelines for real-time conversational AI and decision-making.
  • Optimize LLM inference for low-latency, in-game responses.
  • Work with game designers and AI programmers to integrate models into gameplay.
  • Develop AI-driven dialogue systems and dynamic world events.
  • Research and implement cutting-edge machine learning techniques.


Requirements

  • 3+ years of experience in AI/ML engineering, with a focus on LLM training.
  • Strong experience with Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
  • Expertise in natural language processing (NLP) and AI-driven storytelling.
  • Experience optimizing LLM models for real-time use in games.
  • Passion for building immersive, AI-driven gameplay experiences.
  • Onsite position.


What we offer

  • Work on a groundbreaking AAA survival city-building game.
  • Be part of a passionate and highly experienced team.
  • Competitive salary and benefits package.
  • Opportunity to innovate in AI-driven game development.
  • A chance to grow with a rapidly expanding game studio backed by top industry veterans.

Are you ready to embark on an epic journey with welevel and make SolidRiver an unforgettable gaming experience? Don't hesitate!

Apply now and let your creativity flow like a mighty river!

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About The Company

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (Remote)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

Munich, Bavaria, Germany (On-Site)

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