Staff Engineer - .NET/AI

About the Team/Role At WEX, we simplify the business of running a business. Our WEX Benefits solutions reduce complexity and help manage costs of benefits administration for our clients and partners. We are looking for passionate technologists, collaborators, and problem solvers to join our Benefits Technology team as we build the next generation of employer benefits solutions and services. How you’ll make an impact Collaborate with stakeholders to learn about our customers biggest challenges. Measure, inspect, and drive decisions using data. Design, test, code, and instrument new solutions. Strengthen and drive our engineering process with TDD and BDD, Microservice and Vertical Slice Architectures. Support live applications, promote proactive monitoring, rapid incident response, and continuous improvement. Analyze existing systems and processes to identify bottlenecks and opportunities for improvements. Mentor and learn from your peers, foster continuous learning within your team and organization. Become a subject matter expert in your functional area and best practices. Assess unique circumstances and apply creative problem-solving techniques to resolve issues or suggest various approaches. Independently complete work and proactively review with others. Highly self-motivated, take ownership of your work, actively seek out ways to contribute, and require minimal supervision. ​ Experience you’ll bring Strong experience in software engineering. Strong problem-solving and analytical skills. Passionate about keeping up with modern technologies and design. Strong hands-on experience in software development, architecture, deployment, and production operations Strong experience in design and implementation of scalable and reliable software solutions using modern backend languages (such as C#), leveraging distributed systems architecture to solve complex problems. Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills. Experience building and consuming REST APIs. Proficiency in React. Proven track record of writing comprehensive unit tests and test suites. Strong understanding of software security principles and OWASP guidelines. Proficiency with Git version control and CI/CD pipelines. Experience with logging, metrics, and tracing tools (e.g., Grafana, Splunk) to monitor and troubleshoot live systems. Experience with Agile development methodologies. Track record of delivering complex projects on schedule. Experience in writing performant stored procedures and functions. Experience in developing Cloud-Native applications and services. You write clean, maintainable, and well-documented code. LLM Awareness: Familiarity with LLM concepts and frameworks like LangChain or LlamaIndex. You’ve experimented with or built basic RAG-based applications. Emerging Protocols: A desire to learn and implement new standards like the Model Context Protocol (MCP). Agentic Workflows: Interest in how autonomous agents function, including tool-use (function calling) and state management. Data Retrieval: Basic understanding of vector databases (e.g., Pinecone, Milvus) and how search impacts AI performance. AI-Ops: Experience building "AI-native" features, including automated LLM-based evaluations within the CI/CD pipeline. Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. Team Player: Ability to work effectively in an agile environment, participating in sprint planning and daily stand-ups. Continuous Learner: A strong desire to stay current with the rapidly changing AI and cloud landscape. Collaboration: A proven track record of collaborating across autonomous teams to drive the adoption of new technologies. Communication: Ability to clearly communicate technical trade-offs to both fellow engineers and stakeholders. Proven ability to lead and guide engineering teams, acting as a technical mentor and thought leader Experience working with geographically distributed teams ​ Technology Must-Haves: C# Docker Modern RDBMS (i.e. MS SQL, Postgres, MySQL) NoSQL databases (MongoDB) ASP.NET RESTful API design Event-driven design Modern Web UI Frameworks and Libraries (React) Kubernetes Cloud experience (Azure / AWS ) with basic services like IAM, S3/Blob, compute instances, API gateway , CDN , Lambda 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 Agentic Workflows: Knowledge in how autonomous agents function, including tool-use (function calling) and state management Data Retrieval: Basic understanding of vector databases (e.g., Pinecone, Milvus) and how search impacts AI performance. ​ Technology Nice-To-Have or Dedicate to Learning Quickly: Helm/ArgoCD Terraform GitHub Actions GraphQL Azure Kafka