About Us
DelGate Logistics Ltd. is a leading logistics and supply chain company dedicated to delivering innovative transportation, warehousing, and fulfillment solutions.
Alongside our logistics operations, we operate It's Here Delivery, our technology division focused on developing next-generation software for the logistics and supply chain industry.
Our cloud-based Software-as-a-Service (SaaS) platform is designed for both web and mobile applications and is built to support not only our own logistics operations but also third-party logistics providers, warehouses, retailers, and businesses seeking modern supply chain technology solutions.
As we continue to expand our AI capabilities, we are looking for an experienced MCP Systems Architect / AI Integration Engineer to lead the next generation of intelligent automation across our platforms.
About the Role
This is a senior technical leadership role responsible for designing and implementing AI-powered systems that integrate seamlessly across our logistics platforms.
You will architect enterprise-grade AI solutions using the Model Context Protocol (MCP), enabling Large Language Models (LLMs) to securely interact with our business applications, APIs, databases, and operational workflows.
Working closely with software engineers, product teams, and business stakeholders, you will develop scalable AI infrastructure that enhances operational efficiency, automation, and customer experience.
What You'll DoAI Architecture & MCP Development
- Design and implement enterprise MCP architecture.
- Build and maintain MCP servers, tools, prompts, and resources.
- Develop secure AI integrations between LLMs and internal business systems.
- Design reusable AI services and integration frameworks.
AI & Enterprise Integration
Integrate AI capabilities across our logistics technology ecosystem to improve operational efficiency, automate business processes, and enhance user experiences across web and mobile applications.
AI Workflow Automation
Develop intelligent automation solutions for:
- Customer support
- Delivery scheduling
- Inventory inquiries
- Warehouse operations
- Driver assistance
- Order management
- Business reporting
- Operational decision support
API & Backend Development
- Design and develop modern RESTful APIs services.
- Implement secure API architecture using industry best practices, including API gateways, token-based authorization, OpenID Connect (OIDC), OAuth 2.1, and modern identity and access management (IAM) frameworks.
- Build scalable backend services.
- Integrate third-party services and APIs.
Security & Governance
- Implement role-based access control (RBAC).
- Ensure secure AI access to business data.
- Maintain audit logging and compliance standards.
- Apply best practices for data privacy and security.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (or equivalent practical experience).
- 5+ years of software engineering experience.
- 2+ years working with AI or Large Language Models (LLMs).
- Experience designing scalable enterprise software architecture.
- Strong backend development experience.
- Experience building secure API integrations.
Technical Skills Programming Languages
AI & Machine Learning
- Model Context Protocol (MCP)
- OpenAI API
- Prompt Engineering
- AI Agents
- Retrieval-Augmented Generation (RAG) - optional
- Vector Databases- optional
Frameworks & Libraries
- LangChain
- LangGraph
- LlamaIndex
- MCP SDKs
APIs & Integration
- REST APIs
- GraphQL
- Webhooks
- API Gateways
Databases
- PostgreSQL
- MongoDB
- Redis
- Elasticsearch
Preferred Experience
Experience with one or more of the following is considered a strong asset:
- Logistics technology
- Supply chain software
- SaaS product development
- Mobile application development and integration
- Enterprise software architecture
- AI-powered workflow automation
- Cloud-native applications
What Success Looks Like
Success in this role means designing and delivering scalable, secure, and production-ready AI solutions that enhance our logistics technology platform while collaborating effectively across engineering and business teams.
You will be successful by:
- Completing project milestones on schedule and consistently meeting agreed-upon deadlines.
- Delivering high-quality, maintainable, and scalable software solutions.
- Successfully integrating AI capabilities into business applications and operational workflows.
- Improving system performance, automation, and user experience.
- Building secure, reliable, and well-documented enterprise integrations.
- Contributing to continuous innovation across our SaaS platform and AI initiatives.
Why Join Us?
At DelGate Logistics and It's Here Delivery, you'll have the opportunity to shape the future of logistics technology. Rather than maintaining legacy systems, you'll help build an AI-native platform that powers real-world logistics operations and serves businesses across the industry through a scalable SaaS model.
You'll work with modern technologies, solve complex operational challenges, and play a key role in advancing how AI transforms supply chain and delivery management.
Benefits
- Competitive salary based on experience
- Extended health and dental benefits
- Paid vacation
- Professional development and continuous learning opportunities
- Work with cutting-edge AI technologies and enterprise software
- Career growth within a rapidly expanding technology division
- Collaborative, innovative, and forward-thinking team environment
Apply Today
If you're passionate about AI architecture, enterprise integrations, and building intelligent software that solves real-world logistics challenges, we'd love to hear from you.
Submit your resume along with a brief cover letter highlighting your experience with AI systems, enterprise architecture, cloud technologies, and enterprise software development.
Pay: $100,000.00-$150,000.00 per year
Benefits:
- Employee assistance program
- On-site parking
- Paid time off
Application question(s):
- How many years of professional experience do you have with Golang and Node.js? Please briefly describe the types of production systems you have built with each.
- Have you designed or implemented an AI agent in a production environment?
- Have you designed or implemented an MCP server?
Work Location: In person
