AI Engineer
SouthRivers Data
Responds Quickly
to $4800
WHO WE ARE
SouthRivers Data, we're an engineering-led company - built by engineers, run by engineers. That means no explaining why tech debt matters, no translating "we need refactoring time" into business speak, and no decisions made by people who've never written a line of code. We get it, because we've been there.
We believe that a great engineer is defined by two things equally: technical mastery and the ability to work with people. One without the other isn't enough for us - and probably isn't enough for you either.
REQUIREMENTS
- Experience in Python programming (at least 3 years of practical experience in Python programming)
- Practical experience with GenAI and agentic AI in Python (ideally using
- pydantic-ai as a framework), at least one year of practical experience, more is an advantage)
- Hands-on experience in developing complex end-to-end (Gen) AI applications (not necessarily alone, but as part of a cross-functional team), but in the role of Solution Engineer or AI Engineer
- Team player who can also work independently and proactively take on and execute tasks
Excellent written and spoken English skills
NICE-TO-HAVE
- • Theoretical knowledge of the different concepts in the field of agent-based AI (models, tools, inferences, memory and related approaches such as RAG, protocols such as MCP)
- Experience in data science and machine learning
- Experience setting up CI/CD pipelines and steps (preferably Github Actions)
- Experience working in the Azure cloud
- Experience with Kubernetes and setting up deployments, jobs, etc.
Required skills experience
| MCP Servers | 1 year |
| Python | 3 years |
| PydanticAI | 1 year |
Required languages
| English | B2 - Upper Intermediate |
Azure, Kubernetes, Kubernetes, Docker/Kubernetes
Published 28 April
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