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Vox AI

AI Engineer

Vox AI
Netherlands · Full-time · Entry

AI Engineer (LLM Alignment & MLOps) – Join Our AI-Powered Team in Amsterdam

Are you an AI engineer driven by the challenge of aligning large language models and building robust ML pipelines? At Vox AI—an Amsterdam-based startup with paying customers and a rapid growth trajectory—we’re upgrading the drive-thru experience. Our voice AI platform helps restaurants serve customers faster and more efficiently, delivering a smoother in-car dining encounter. There’s a good chance that next year, when you roll up to a drive-thru, you’ll interact with Vox AI. Help us perfect the technology behind that experience!

What You’ll Do:
  • LLM Alignment: Implement and refine supervised fine-tuning, DPO, RLHF, and other reinforcement learning techniques to guide model behavior.
  • Data Mastery: Collect, preprocess, and curate large-scale datasets for LLMs, ASR models (like Whisper), and NLP pipelines—ensuring data quality and relevance.
  • MLOps & Deployment: Set up CI/CD pipelines and use Docker/Kubernetes for scalable, reliable model deployment. Leverage AWS SageMaker, Azure ML, or similar platforms to streamline the entire ML lifecycle.
  • Transformer Expertise: Fine-tune and deploy transformer-based models (GPT, BERT, T5, Whisper) and incorporate advanced NLP methodologies like retrieval-augmented generation (RAG) and NER.
  • API Integration: Develop and maintain RESTful or gRPC APIs to serve our ML models, ensuring low-latency, high-availability access to our AI capabilities.
  • Team Growth: Collaborate closely with our AI-driven backend team, and as we grow in Q2 and beyond, help mentor and guide new team members.
What We’re Looking For (Must-Haves):

  • Proven experience in aligning LLMs using supervised fine-tuning and RL methods (e.g., DPO, RLHF).
  • Strong data collection, preprocessing, and curation skills for training diverse ML models.
  • Hands-on MLOps expertise, from CI/CD pipelines to containerization (Docker) and orchestration (Kubernetes).
  • Experience with cloud ML platforms like AWS SageMaker or Azure ML.
  • Proficiency with transformer-based models (Whisper, GPT, BERT, T5) and NLP techniques (RAG, NER).
  • Skilled at building and serving ML models through scalable APIs.
Nice-to-Haves (Ideal Skills):
  • Knowledge of optimization tools like TensorRT for speeding up inference.
  • Familiarity with A/B testing frameworks and real-time experimentation setups.
  • Exposure to multi-modal systems integrating text, speech, images, or other data types.
  • Comfort with implementing cutting-edge research techniques from recent papers.
  • Ability to mentor teammates and foster a knowledge-sharing environment.
What We Offer:
  • Compete with the best companies in the world on Voice AI
  • Hybrid setup: 3 days a week in our Houthavens office (a short hop from Amsterdam Central Station), with the rest from home if you prefer.
  • Competitive compensation and equity—our success is your success.
  • A growing business backed by paying customers, on track for profitability.
  • A dog-friendly office (our CTO has a Labrador!), so you can bring your four-legged friend as long as they get along with others.
  • The chance to join early and make a tangible impact as we scale
Ready to Join the Ride?
If you’re excited about crafting the AI engines that power tomorrow’s drive-thru experience—and elevating human-AI interaction—apply now. Show us your GitHub and past projects, and let’s shape the future together!

Note: not for freelance or agencies. We are building our team so will hire direct only.

Key Skills

Ranked by relevance

ai mlops cicd aws containerization docker cloud grpc asr
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Posted
Dec 21, 2024
Type
Full-time
Level
Entry
Location
Amsterdam
Company
Vox AI

Industries

Technology Information Internet

Categories

Engineering Information Technology

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