6-10+ years of software engineering experience, with 3+ years in AI/LLM production environments.
Proficient in Python and/or languages like TypeScript, Java, or C#.
Experience in API design and microservices architecture.
Hands-on with LLM APIs, including GitHub Copilot and familiarity with Anthropic and OpenAI.
Strong understanding of embeddings, vector databases, and RAG pipelines.
Experience with major cloud platforms: AWS, Azure, or GCP.
Knowledge of containerization, CI/CD pipelines, and Infrastructure as Code (IaC).
Familiarity with software testing, observability, and performance monitoring.
Responsibilities
Design AI-enabled solution architectures, including RAG and agentic workflows.
Develop backend services and APIs to integrate AI capabilities into applications.
Optimize prompts, retrieval pipelines, and context management.
Establish frameworks for evaluating accuracy, reliability, and operational costs.
Manage deployment and maintenance of AI solutions using MLOps practices.
Ensure AI security and responsible practices, including data protection.
Collaborate with teams to ensure compliance with security requirements.
Mentor developers and lead code reviews, establishing best practices.
Communicate technical decisions effectively to diverse stakeholders.
Benefits
Location flexibility with a primary focus on Montreal.
Opportunity to work on cutting-edge AI technologies.
Collaborative environment with cross-functional teams.
Mentorship opportunities for professional growth.
Full Job Description
Montreal, Quebec
Location Flexibility: Primary Location Only
Req Id: 14081
Posting Start Date: 11/9/26
Key Responsibilities
Design AI-enabled solution architectures, including RAG, agentic workflows, tool/function calling, and hosted or fine-tuned models.
Develop backend services, APIs, and frontend integrations to embed AI capabilities into applications.
Design and optimize prompts, retrieval pipelines, embeddings, context management, and guardrails.
Establish evaluation and quality assurance frameworks to measure accuracy, reliability, hallucinations, latency, and operational costs.
Manage the deployment, monitoring, and maintenance of AI solutions in production environments using LLMOps/MLOps practices, CI/CD pipelines, and version control.
Ensure AI security and responsible AI practices, including data protection, PII handling, access controls, and risk mitigation.
Collaborate closely with customers and cross-functional teams to ensure compliance with security requirements, established processes, and applicable standards.
Mentor developers, lead code and design reviews, and establish technical standards and best practices.
Communicate technical decisions, risks, and trade-offs effectively to both technical and non-technical stakeholders.
Required Qualifications and Experience
6-10+ years of software engineering experience, including at least 3 years of hands-on experience delivering AI/LLM-powered features in production environments.
Strong proficiency in Python and/or other programming languages such as TypeScript, Java, or C#.
Solid experience in API design, microservices architecture, and cloud-native application development.
Hands-on experience with Large Language Model (LLM) APIs, including mandatory experience with GitHub Copilot, and familiarity with Anthropic, OpenAI, and open-source models.
Strong understanding of embeddings, vector databases, RAG pipelines, orchestration frameworks, and agent-based architectures.
Experience with at least one major cloud platform: AWS, Azure, or GCP.
Experience with containerization, CI/CD pipelines, and Infrastructure as Code (IaC).
Strong knowledge of software testing, observability, performance monitoring, and cost optimization.
Working knowledge of data pipelines, SQL/NoSQL databases, and machine learning fundamentals.
Ability to work closely with customers to ensure compliance with security requirements and established processes.
Relocation Supported: No
Visa Sponsorship Approved: No
About Fujitsu
Fujitsu Limited is a Japanese multinational information technology equipment and services company headquartered in Tokyo, Japan. It is the world's third-largest IT services provider measured by global IT services revenue (after IBM and Accenture). Fujitsu mainly provides IT services including system integration, consulting, and outsourcing services. The company also offers a range of hardware products such as servers, storage systems, and personal computers. Fujitsu has a presence in over 100 countries and employs around 132,000 people.
