Artificial Intelligence Engineer
Skills
Microsoft AzureAmazon Web ServicesPythonLangChainLangGraphLlamaIndexAutoGen
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong proficiency in Python
- Experience with Large Language Models and Generative AI technologies
- Hands-on experience with LangChain
- Hands-on experience with LangGraph
- Hands-on experience with LlamaIndex
- Hands-on experience with AutoGen
- Hands-on experience with CrewAI
- Hands-on experience with Semantic Kernel
- Experience with AWS Bedrock
- Experience with Azure AI Services
- Experience with Kubernetes
- Experience building CI/CD pipelines with GitHub Actions
- Experience with monitoring logging and observability for AI systems
- Experience with automated testing and validation pipelines
- Experience collaborating with DevOps and platform teams
Nice to have
- Agentic mindset
- Cloud-native thinking
- Production focus
- Collaborative
Day to day
- Design and build production-ready agentic AI applications and autonomous workflows
- Develop AI systems using modern agent frameworks and multi-agent architecture
- Build Python services and APIs that power AI products and integrate foundation models across cloud AI platforms
- Engineer secure scalable cloud-native applications and collaborate on deployment observability and engineering direction
Hiring process
- Apply for further information