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Software Engineer 2 – AI Platform
WEX. Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services.
Posted 5/13/2026full-timeBoston • California, Maine, Massachusetts, Texas, Utah, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $96,100 - $115,500 per yearWebsite
Tech Stack
Tools & technologiesGRPCJavaSpring BootSpringBootSQL
About the role
Key responsibilities & impact- Design, develop, and maintain robust, scalable, and high-performance object oriented code in our 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, 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, continuous integration and deployment to reduce time to market.
- Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features.
- Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices.
- Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
- Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution.
- Maintain robust documentation (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 to make progress.
- Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution within Mobility platforms.
- Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities.
- Implement and scale multi-agent architectures to support complex, distributed use cases across payments and fleet ecosystems.
- Integrate systems using Model Context Protocol (MCP) or similar frameworks to enable secure and scalable interaction between AI agents, APIs, and enterprise data sources.
- Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade performance, reliability, and cost efficiency.
- Implement evaluation frameworks, observability, and guardrails to ensure correctness, safety, and compliance of AI-driven systems.
- Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness.
Requirements
What you’ll need- Bachelor’s degree in Computer Science or Software Engineering
- 2–5 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
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaC#SpringBootREST APIsgRPCSQLAI systemsLLM-powered applicationsMCPdata structures
Soft Skills
communicationcollaborationproblem-solvingmentoringleadershipempathydesign decision makingtroubleshootingdocumentationcontinuous improvement
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering