Senior Software Engineer – Context Engineering

🕒 April 22

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of WEX

WEX

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

Transport • Finance • Fintech

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

• Contribute to the development of a high-scale, AI-ready Data Lakehouse optimized for AI Agent operations • Hands-on prototyping of emerging architectural patterns • Maintain high standards for code quality and CI/CD, participating in cross-functional architecture reviews • Build platform-level interfaces for agentic workflows • Develop systems that move beyond basic search into Reasoning-based Retrieval • Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG

🎯 Requirements

• 6+ years of software engineering experience with a focus on distributed systems • Proficiency in Java or Scala and Python • Experience building extensible APIs and libraries used by other developers • A preference for building automated, software-defined infrastructure over manual configuration • Hands-on experience with agent development frameworks such as LangGraph or CrewAI • Knowledge of the Model Context Protocol (MCP) • Experience building 'AI-native' features, including automated LLM-based evaluations within the CI/CD pipeline • Understanding of Human-in-the-Loop (HITL) triggers to ensure safety in autonomous systems • Experience with GitOps workflows (e.g., ArgoCD or Flux) • Proficiency in Terraform to build reusable modules • Ability to design CI/CD pipelines (e.g., GitHub Actions) • Hands-on experience navigating and configuring AWS and Azure Management Consoles • Experience using OpenTelemetry (OTel) to track system performance

🏖️ Benefits

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement • comprehensive and market competitive benefits

Apply Now

Similar Jobs

🕒 April 22

Cyclotron, Inc.

51 - 200

🏢 Enterprise

☁️ SaaS

⚡ Productivity

Senior AI Architect leading the design and delivery of production AI systems for enterprise clients. Working in a hands-on, client-facing role anchored in the Microsoft stack and extending across OpenAI and Anthropic platforms.

Azure

🕒 April 21

Podium

1001 - 5000

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Senior AI Engineer building and scaling the AI Agent platform at Podium. Developing real-time workflows for customer interactions across various channels.

Elixir

Python

Go

🕒 April 21

Trellis

51 - 200

🛍️ eCommerce

🤝 B2B

☁️ SaaS

AI/ML Engineer at Trellis Law working on scalable architecture for large data sets. Leveraging AI/ML for impactful legal data analysis.

Python

🕒 April 21

Ascent

201 - 500

🤖 Artificial Intelligence

☁️ SaaS

Senior Applied AI Engineer at Acuity Analytics responsible for building data pipelines and ML solutions. Collaborating closely with cross-functional teams to improve operational efficiency and delivery outcomes.

Pandas

Python

SQL

🕒 April 20

Axle Informatics

501 - 1000

AI Engineer II at Axle developing intelligent applications supporting translational research. Leading the design of AI systems and collaborating with scientists and operational staff.

Cloud

Docker

Kubernetes

Linux

Postgres

Python