Contribute to the development of a high-scale, AI-ready Data Lakehouse optimized for AI Agent operations
Hands-on prototyping of emerging architectural patterns
Maintain high standards for code quality and CI/CD, participating in cross-functional architecture reviews
Build platform-level interfaces for agentic workflows
Develop systems that move beyond basic search into Reasoning-based Retrieval
Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG

6+ years of software engineering experience with a focus on distributed systems
Proficiency in Java or Scala and Python
Experience building extensible APIs and libraries used by other developers
A preference for building automated, software-defined infrastructure over manual configuration
Hands-on experience with agent development frameworks such as LangGraph or CrewAI
Knowledge of the Model Context Protocol (MCP)
Experience building 'AI-native' features, including automated LLM-based evaluations within the CI/CD pipeline
Understanding of Human-in-the-Loop (HITL) triggers to ensure safety in autonomous systems
Experience with GitOps workflows (e.g., ArgoCD or Flux)
Proficiency in Terraform to build reusable modules
Ability to design CI/CD pipelines (e.g., GitHub Actions)
Hands-on experience navigating and configuring AWS and Azure Management Consoles
Experience using OpenTelemetry (OTel) to track system performance

Senior Software Engineer – Context Engineering

Key skills