AI Engineer
Core
Design, develop, and deploy scalable Agentic AI and data solutions across the entire lifecycle, integrating diverse data sources into enterprise environments.
Role type
Senior AI Engineer (Agentic AI & Data Platforms)
Builds
Reusable Agentic AI components, data pipelines, and production-ready architectures for enterprise use.
Domain
Enterprise AI, Agentic AI, Data Engineering, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Agent frameworks (OpenAI SDK, LangChain, Microsoft Agent Framework, Semantic Kernel), Data Engineering, Cloud-native architectures (Azure, Kubernetes), Observability (Langfuse, OpenTelemetry), LLMOps/MLOps
Preferred skills
None stated
Technologies
OpenAI SDK, LangChain, Microsoft Agent Framework, Semantic Kernel, Langfuse, OpenTelemetry, Microsoft Azure, Kubernetes
Responsibilities
Analyze use cases and data sources to design scalable architectures; Develop and deploy Agentic AI systems in cloud/hybrid/on-premise environments; Integrate structured and unstructured data sources; Implement robust data pipelines and semantic search; Apply LLMOps and MLOps practices including CI/CD and automated evaluation.
Seniority
Senior, hands-on IC
