Senior Backend Engineer – AI Platform

🔥 0 minutes ago

🏄 California, Maine, +4 more states – Remote

🏄 California – Remote 🦞 Maine – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $121.5k - $145.5k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏥 Healthcare

📦 Logistics

✈️ Travel

💰 $310M Post-IPO Debt on 2020-06

Healthcare • Logistics • Travel

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• 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

• 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

• 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