Implement and maintain core services for the AI Data Lakehouse
Build and support CI/CD pipelines to automate the deployment of AI models
Develop and test tool-execution environments and API interfaces for AI agents
Participate in on-call rotations and troubleshooting to ensure platform reliability
Work on the "Context Fabric" to implement search and retrieval patterns
Assist in managing cloud resources across AWS and Azure

3+ years of professional software development experience
Strong proficiency in Python and either Java or Scala
You write clean, maintainable, and well-documented code.
Experience building and consuming RESTful APIs or gRPC services
Understanding of relational databases (Postgres/MySQL)
Familiarity with how data is stored in a distributed environment.
Hands-on experience navigating the AWS or Azure Management Consoles
Basic experience with Terraform
Familiarity with GitHub Actions, GitLab CI, or Jenkins
Basic experience with monitoring tools like Prometheus, Grafana, or cloud-native solutions (CloudWatch/Azure Monitor)
Familiarity with LLM concepts and frameworks like LangChain or LlamaIndex
Interest in how autonomous agents function, including tool-use (function calling) and state management.
Basic understanding of vector databases (e.g., Pinecone, Milvus).

Mid-Level Software AI Engineer, Context Engineering

Key skills