WEX
Sr Software AI Engineer 3 - Context Engineering
US - Remote · Senior
Sponsorship not specified$140k-$186kDetected 31 days ago
JavaScalaDistributed SystemsGitAWSAzureTerraformCI/CDGitHub ActionsPlatform EngineeringLLMsRAGAgentic AILangGraphAI OrchestrationTest AutomationLeadershipCommunicationCollaborationArgo CD
About the role
- You will work at the intersection of systems programming and modern AI infrastructure to solve practical problems in real-time data orchestration and multi-cloud compute optimization.
- The base pay range represents the anticipated low and high end of the pay range for this position.
- Most sales positions are eligible for commission under the terms of an applicable plan.
Responsibilities
- Engineering Excellence: Maintain high standards for code quality and CI/CD, participating in cross-functional architecture reviews and troubleshooting complex system bottlenecks.
- Agentic Ecosystem Development: Build platform-level interfaces for agentic workflows, focusing on "Host-to-Server" communication and tool-execution environments.
- Contextual Fabric Construction: Develop systems that move beyond basic search into Reasoning-based Retrieval, helping the platform understand the intent behind an agent's query.
- Protocol Integration: Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG to ensure interoperability between the platform and various LLM providers.
- Framework Development: Experience building extensible APIs and libraries used by other developers.
- Software-Defined Infrastructure: A preference for building automated, software-defined infrastructure over manual configuration.
Requirements
- 6+ years of software engineering experience with a focus on distributed systems.
- Proficiency in Java or Scala and Python.
- Hands-on experience with agent development frameworks such as LangGraph or CrewAI and the transition from static RAG to Agentic RAG.
- Knowledge of the Model Context Protocol (MCP) and how it allows AI agents to interact with diverse data sources.
- Experience with GitOps workflows (e.g., ArgoCD or Flux ) to manage versioned platform configurations and AI prompt templates.
- Proficiency in Terraform to build reusable modules that enforce organizational standards across cloud accounts.
- Ability to clearly communicate technical trade-offs to both fellow engineers and stakeholders.
- Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role.
- Core Languages: Proficiency in Java or Scala and Python.
Nice to have
- Bachelor's or Master's degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.
Skills
- Understanding of Human-in-the-Loop (HITL) triggers to ensure safety in autonomous systems.
- CI/CD & Cloud Operations
Compensation
- $140,200.00 - $185,800.00
- The base pay range represents the anticipated low and high end of the pay range for this position.
- Base pay is one component of WEX's total compensation package.
Benefits
- include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.
- Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan.
- WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.
Company info
- For more information, check out the "About Us" section.
This listing is sourced directly from WEX's careers page and normalized into a canonical job model.