Senior Software Engineer – Context Engineering
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Job Description
AI Platform Engineer building high-performance software foundations for enterprise AI at WEX. Focused on distributed systems and cloud-native architecture in a remote role.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- health, dental and vision insurances
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- life insurance
- disability insurance
- tuition reimbursement
- comprehensive and market competitive benefits
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