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WEX

Senior Backend Engineer – AI Platform

WEX

. Design, develop, and maintain robust, scalable, and high-performance object-oriented backend code .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $121,500 - $145,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing scalable backend systems using Java, REST APIs, and AI technologies. Proficient in leading cross-team projects, mentoring engineers, and implementing best practices for system performance and reliability.

Highest-signal resume keywords
Java Backend DevelopmentREST API DesignAI/LLM-Powered ApplicationsSystem Scalability and ReliabilityCross-Team Project Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Object-Oriented DesignData Structures and AlgorithmsSQLSpringBootGRPC APIsUnit TestingIntegration TestingPerformance TestingAI Evaluation FrameworksPrompt Engineering
Soft Skills
Excellent Communication SkillsCollaborative MindsetEmpathy
Tools & Technologies
DockerKubernetesKafkaOpenAI APIsLangChainMCP ProtocolsCloud-Native Architecture
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science (Preferred)
Industry Keywords
AI Systems IntegrationMulti-Agent ArchitecturesAPI SecurityPCI DSS ComplianceEvent-Driven Architecture

Tech Stack

Tools & technologies
CloudDockerGRPCJavaKafkaKubernetesPythonSpring BootSpringBootSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain robust, scalable, and high-performance object-oriented backend code
  • Develop public REST APIs using Java and internal gRPC APIs
  • Architect and realize next-generation agentic AI platforms
  • Design and build autonomous AI agents, skills, MCP servers, and AI tools
  • Implement and scale multi-agent architectures for payments and fleet ecosystems
  • Craft system designs, lead design decisions, and drive alignment with senior engineers
  • Write unit, integration, end-to-end, concurrency, load, and performance tests
  • Analyze systems for bottlenecks and technical debt, implementing scalability and stability improvements
  • Automate testing, monitoring, healing, scaling, continuous integration, and deployment
  • Collaborate with product managers, designers, and engineers to define and implement features
  • Conduct code reviews, mentor engineers, and promote engineering best practices
  • Troubleshoot complex issues, author root cause analyses, and ensure performance and reliability
  • Evaluate competing technologies and advise on technology solutions
  • Maintain design documents, run books, change management documents, and readiness plans
  • Provide live-site production support, monitor systems, resolve incidents, and drive improvements
  • Lead cross-team projects as a single-threaded owner or tech lead
  • Build LLM-powered services using technologies such as OpenAI APIs and LangChain
  • Implement AI evaluation frameworks, observability, guardrails, context management, memory, and RAG

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science or Software Engineering
  • 5–8 years of professional experience in software engineering
  • Strong understanding of data structures and algorithms, object-oriented design, and problem-solving
  • Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets
  • Excellent written and verbal communication skills, and a collaborative and empathetic mindset
  • Proficiency in backend development with Java or C#, SpringBoot, RESTful APIs, ODATA framework, and SQL
  • Hands-on experience building or contributing to AI/LLM-powered applications or agent-based systems
  • Familiarity with agent frameworks, tool-use patterns, and orchestration of LLM workflows
  • Experience integrating AI systems with external tools/APIs using MCP or similar protocols
  • Understanding of prompt engineering, embeddings, and vector-based retrieval systems
  • Experience designing systems for scaling AI workloads in production environments
  • Preferred: Master’s degree in computer science or software engineering
  • Preferred: 8+ years of experience in software engineering
  • Preferred: Python, Java, event-driven architecture, and Kafka
  • Preferred: card payments experience
  • Preferred: cloud-native architecture, Docker, and Kubernetes
  • Preferred: API security and PCI DSS compliance
  • Ability to work on existing codebase, contribute improvements, and adapt to legacy systems’ constraints
  • Nice to have: AI skills and production AI solutions
  • Nice to have: production-grade AI agents or copilots
  • Nice to have: multi-agent systems and distributed AI architectures
  • Nice to have: vector databases such as Pinecone, Weaviate, OpenSearch, or Milvus
  • Nice to have: AI evaluation techniques, safety practices, and responsible AI principles

Benefits

Comp & perks
  • Health, dental, and vision insurances
  • Retirement savings plan
  • Paid time off
  • Health savings account
  • Flexible spending accounts
  • Life insurance
  • Disability insurance
  • Tuition reimbursement
  • Quarterly or annual bonus eligibility for non-sales roles