Job Description

What is Equisoft?

Equisoft is a global provider of digital solutions for insurance and investment, recognized by over 250 of the world's leading financial institutions. We offer a comprehensive ecosystem of scalable solutions that help our customers meet all the challenges brought about by this era of digital transformation, thanks to our business needs-driven approach, industry knowledge, cutting-edge technologies and experts. With its business-driven approach, in-depth industry knowledge, cutting-edge technologies and multicultural team of experts based in North America, the Caribbean, Latin America, Europe, Africa, Asia and Australia, Equisoft helps its customers meet the challenges of this era of digital transformation.

Why Choose Equisoft?

With 950+ employees, we are a stable organization that offers career advancement opportunities and fosters a stimulant environment. If that's not enough, then check out these other perks below:


Hiring Location: Canada (Montreal or Quebec City) You are working hybrid in a collaborative workspace Internal job title: Senior AI Integration Developer Full-time Permanent Benefits available day 1: Medical, Dental, Retirement Plan, Telemedicine Program, Employee Assistance Program, etc. Flexible hours Number of hours per week: 40 Educational Support (LinkedIn Learning, LOMA Courses and Equisoft University)

Role:

Senior AI Integration Developer reports to the AVP, Core Insurance and works closely with AI/ML teams, product managers, and software developments teams. The incumbent will be responsible for building seamless integrations between AI systems and Equisoft's insurance and investment products, with a focus on implementing cutting-edge AI connectivity standards and orchestrating intelligent workflows that enhance customer experiences.


Below is a brief description of the expected product the candidate will be working on:

Equisoft/amplify

Our AI-powered insurance ecosystem leverages advanced integration technologies to connect intelligent agents with core business systems. The platform utilizes Model Context Protocol (MCP) servers and agentic workflow orchestration to enable seamless data exchange, automated decision-making, and intelligent process automation across policy management, claims processing, and customer service applications.

Your Day with Equisoft:

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 orGoogle 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)

Soft skills

Strong analytical and problem-solving abilities with a systematic approach to complex integration challenges Excellent communication skills to collaborate effectively with technical teams, product managers, and business stakeholders Ability to work independently and manage multiple integration projects simultaneously Detail-oriented mindset with focus on code quality, documentation, and maintainable solutions Customer-focused approach to understanding business needs and translating them into technical solutions Team collaboration skills and willingness to mentor junior developers and share knowledge

Nice to Haves:

Cloud certifications (AWS Solutions Architect, Azure Developer, Google Cloud Developer) Hands-on experience with LLM integration, prompt engineering, and AI agent development Experience with streaming data platforms and real-time analytics Familiarity with enterprise integration patterns (ESB, ETL, data pipelines) Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK stack) Experience with test-driven development (TDD) and behavior-driven development (BDD) Understanding of software architecture patterns (event sourcing, CQRS, saga patterns) Open source contributions or experience with AI/ML integration projects Experience with version control systems (Git) and collaborative development workflows Experience with insurance or financial services domain knowledge and regulatory requirements Knowledge of insurance industry standards and protocols (ACORD, HL7 FHIR for health insurance)
Equisoft is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.