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About the Role

We are seeking a seasoned Sr. Software Engineer to join the Platform team within the North America Mobility organization. This role focuses on building an AI Platform to support feature development teams, enabling them to build robust features faster. You will contribute to architecting and realizing our next-generation Agentic AI Platform, designing, developing, and deploying autonomous AI agents, skills, MCP servers, and AI tools for advanced reasoning, strategic planning, and orchestrating financial and operational workflows. Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX to deliver highly intelligent, proactive solutions globally.

Responsibilities

Design, develop, and maintain robust, scalable, and high-performance object-oriented code in backend services.
Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication.
Craft systems designs, lead design decisions, and drive alignment with other senior engineers.
Write automated unit tests, integration tests, end-to-end tests, concurrency tests, and load/performance tests.
Analyze existing systems to identify bottlenecks, tech debt, and implement scalability and stability improvements.
Implement automation for testing, monitoring, healing, and scaling applications, and continuous integration and deployment.
Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features.
Conduct code reviews, mentor junior and mid-level engineers, and promote engineering best practices.
Troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
Conduct objective and comparative analyses of competing technologies.
Maintain robust documentation, including design docs, run books, change management docs, and readiness plans.
Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.
Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers.
Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution.
Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities.
Implement and scale multi-agent architectures.
Integrate systems using Model Context Protocol (MCP) or similar frameworks.
Build and optimize LLM-powered services for production-grade performance, reliability, and cost efficiency.
Implement evaluation frameworks, observability, and guardrails for AI-driven systems.
Design solutions for context management, memory, and retrieval-augmented generation (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 skills
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 expertise in Java or C#, frameworks like SpringBoot, building and optimizing 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
Master’s degree in computer science or software engineering
8+ years of experience in software engineering
Experience with Python, Java, event-driven architecture and tools like Kafka
Experience working on card payments
Familiarity with cloud-native architecture (containerization using tools such as Docker and Kubernetes)
Awareness of API security and PCI DSS compliance requirements
Ability to work on existing codebase, contribute improvements, and adapt to legacy systems’ constraints
Experience building AI skills & deploying AI solutions to production environments
Experience building production-grade AI agents or copilots
Familiarity with multi-agent systems and distributed AI architectures
Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus)
Knowledge of AI evaluation techniques, safety practices, and responsible AI principles

Skills

Java
C#
SpringBoot
RESTful APIs
ODATA framework
SQL
Python
Kafka
Docker
Kubernetes
Agentic AI
LLM
MCP
Prompt Engineering
Embeddings
Vector-based retrieval systems
Vector databases
AI evaluation techniques
AI safety practices
Responsible AI principles

Location

Remote
Boston, MA
San Francisco Bay Area, CA
Dallas, TX
Salt Lake City, UT
Seattle, WA
Portland, ME

Work Type

Remote

Experience Level

Senior
5-8 years
8+ years

Education Level

Bachelor’s degree in Computer Science or Software Engineering
Master’s degree in computer science or software engineering

Salary/Compensations

$121,500.00 - $145,500.00

Benefits

Health, dental and vision insurances
Retirement savings plan
Paid time off
Health savings account
Flexible spending accounts
Life insurance
Disability insurance
Tuition reimbursement

About the Company

WEX is a global commerce platform that helps businesses solve for operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments.
With over 6,500 employees, we work with large and small companies in more than 200 countries and territories, and can tailor our services to meet the unique needs of their businesses.
We hire people who share our passion for continuous innovation and client service that is unparalleled in the industry.
Offering comprehensive and market competitive benefits, our offerings are designed to support your personal and professional well-being.
If you’re looking for a growing career - come be part of WEX today.

Equal Opportunity

WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status.
WEX promotes a drug-free workplace.
Qualified individuals with a disability have the right to request a reasonable accommodation.