Senior AI Integration Developer

Role Overview

• Implement and maintain Model Context Protocol (MCP) servers for Equisoft products, enabling secure, standardized connections between AI assistants and business data sources
• Build robust API integrations with existing Equisoft products, creating seamless bridges between legacy systems and modern AI applications
• Develop and orchestrate sophisticated agentic workflow systems that coordinate multiple AI agents for complex business processes including claims processing, underwriting, and customer service
• Create comprehensive Python foundations for Equisoft product integrations, establishing reusable libraries, frameworks, and development patterns for AI system connectivity
• Design and implement real-time data synchronization mechanisms between AI systems and core insurance platforms
• Collaborate with product teams to identify integration opportunities and translate business requirements into technical AI integration solutions
• Maintain and optimize existing integrations while ensuring data security, compliance, and performance standards
• Develop automated testing frameworks and monitoring systems for AI integrations and workflow orchestrations
• Research and prototype emerging AI integration technologies and protocols to keep Equisoft at the forefront of AI innovation
• Work with DevOps teams to deploy AI integrations using containerization, CI/CD pipelines, and cloud infrastructure
• Document integration architectures, APIs, and workflow patterns for internal teams and external partners

Requirements

• Technical Bachelor's Degree in Computer Science, Software Engineering, or related field, or College Diploma combined with 4+ years of relevant software development experience
• Minimum of 5 years' experience in software development with strong focus on API development, system integrations, and workflow automation
• Experience has a developer in a SaaS product environment
• Experience with agentic AI frameworks and workflow orchestration tools (such as LangChain, CrewAI, AutoGen, or similar platforms)
• Familiarity with message queuing systems (RabbitMQ, Apache Kafka, Redis) for asynchronous processing
• Extensive Python programming experience with expertise in frameworks such as FastAPI, Flask, or Django for building scalable API services
• Hands-on experience with RESTful API design, GraphQL, and modern integration patterns including webhooks, event-driven architectures, and microservices
• Knowledge of Model Context Protocol (MCP) implementation or similar AI agent connectivity standards
• Proficiency with cloud platforms (AWS, Azure or Google Cloud) and their integration services (API Gateway, Event Grid, Pub/Sub)
• Strong understanding of database technologies (SQL and NoSQL) and data modeling for integration scenarios
• Experience with containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation)
• Knowledge of authentication and authorization patterns (OAuth2, JWT, API keys) and security best practices
• Adaptability to rapidly evolving AI technologies and integration patterns
• Excellent knowledge of French & English (spoken and written).

Tech Stack

• Apache
• AWS
• Azure
• Cloud
• Django
• Docker
• Flask
• GraphQL
• Kafka
• Kubernetes
• Microservices
• NoSQL
• Python
• RabbitMQ
• Redis
• SQL
• Terraform

Benefits

• Medical
• Dental
• Retirement Plan
• Telemedicine Program
• Employee Assistance Program
• Flexible hours
• Educational Support (LinkedIn Learning, LOMA Courses and Equisoft University)