Principal Product Manager guiding API and developer experience improvements for PagerDuty's Operations Cloud. Transforming product development with automation and AI integrations.
About the role
- Senior AI Integration Developer responsible for building AI system integrations in insurance and investment products at Equisoft. Collaborating with product managers, AI/ML teams, fluidly managing integrations.
Responsibilities
- 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).
Benefits
- Medical
- Dental
- Retirement Plan
- Telemedicine Program
- Employee Assistance Program
- Flexible hours
- Educational Support (LinkedIn Learning, LOMA Courses and Equisoft University)
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