Role overview
You will start by building the system as part of our team, working in a focused, greenfield setup. After a few months of introduction to the project, you will seamlessly continue working on the same product directly with the client, becoming part of the InPosts team responsible for its long-term development and scaling. There is no handover phase and no context switching - you stay with the same codebase, product, and technical challenges, while gaining long-term ownership and impact.
What we're looking for
- PyTorch, Hugging Face, and modern ML tooling for training and inference
- MLOps practices and tooling
- RAG systems, vector databases, and retrieval optimization
- multiple LLM providers or open-source models
- *high-traffic, high-availability systems
Seniority levels:
Mid AI Engineer:**
- At least 1 year of experience working with NLP / LLM systems in production
- Experience contributing to production ML or AI services
- Eagerness to learn and grow in a fast-moving environment
- At least 6 years of experience in ML / AI engineering
- Experience designing large-scale, production LLM architectures
- Ability to drive technical direction and mentor other engineers
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Engineer Nlp Generative Ai Ai