We are seeking an AI Engineer to help build AI systems that go beyond experimentation and are deployed in real-world operational use. The role involves designing and delivering production AI systems end-to-end, building GenAI applications, developing Python backend services, and deploying AI services in Azure and AWS. We value strong fundamentals and practical experience working with real systems more than formal experience length.
Requirements
- MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence or relevant fields — or up to 3 years of experience in AI/ML or data science.
- Strong Python skills and experience building real applications, services, or data-driven systems.
- Solid understanding of machine learning fundamentals.
- Hands-on experience with Generative AI (LLMs, RAG systems, or agent-based applications).
- Familiarity with modern AI tooling such as LLM APIs (e.g. Azure OpenAI), vector databases, embeddings, and retrieval systems.
- Experience working with production-oriented systems such as APIs, backend services, data pipelines, or deployed ML/AI solutions, with awareness of constraints like performance, scalability, reliability, and cost.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Tuition Reimbursement
- Relocation Assistance
- Four Day Work Week
- Generous Parental Leave