We are looking for a DevOps Software Developer to join our AI Enablement team - a group focused on accelerating the adoption and integration of AI-powered tools, workflows, and capabilities across engineering and business functions. You will serve as a technical leader who bridges the gap between cutting-edge AI capabilities and practical, production-grade implementation.

Responsibilities

• Design, build, and maintain AI-powered developer tooling, internal platforms, and automation pipelines.
• Evaluate and integrate large language models (LLMs), AI APIs, and third-party AI services into existing systems.
• Lead proof-of-concept evaluation and adoption for emerging AI capabilities and drive them to production readiness.
• Define, collect and document: standards, patterns, and best practices for AI integration across the engineering organization.
• Collaborate with product management, development, and platform teams to identify high-impact AI enablement opportunities.
• Mentor developers on AI development patterns, prompt engineering, and responsible AI practices.
• Contribute to the evaluation and selection of AI frameworks, tools, and vendors.
• Champion responsible AI practices including bias evaluation, privacy considerations, and security review of AI-driven components.

Required Qualifications

• 3-5+ years of software engineering experience.
• Proficiency in Python and/or TypeScript/JavaScript for building AI-integrated applications.
• Hands-on experience with LLM Tools: CoPilot, ChatGPT, Gemini, Claude, Kiro or similar AI coding assistants and extending/customizing them.
• Experience building, configuring and deploying production-grade services with observability, reliability, and security in mind.
• Excellent communication skills, able to explain AI concepts clearly to technical and non-technical stakeholders.
• Must be eligible to obtain and maintain up to top secret security clearance.

Preferred Qualifications

• Strong understanding of REST API design, cloud platforms (AWS, Azure, or GCP), and containerization (Docker/Kubernetes).
• Familiarity with MLOps practices, model fine-tuning, or evaluation frameworks.
• Background in DevOps/platform engineering or developer experience (DX) improvement.
• Experience with Infrastructure-as-Code deployment and maintenance.
• Exposure to AI governance, responsible AI frameworks, or compliance considerations.

How we Work?

You will be expected to work in a Hybrid environment reporting to our Kanata, Ontario location 2 or more times per week.

About JSI

JSI is built on purpose, that of making a difference in the world.

Founded in 1979, this privately-owned technology company is the North American leader in designing and developing acquisition, collection and analysis solutions for law enforcement and intelligence communities.

With 4Sight – JSI’s single, unified, product suite – customers can combine any number of disparate data sources into a highly intuitive, visually-focused platform. The result? JSI’s customers spend less time working with data and more time seeing patterns, understanding trends, and gaining perspective (and making the world a safer place).

With over 400 employees and a strong, growing global presence in Canada, the U.S., Australia, and Germany, JSI is not only the dominant player in its industry, it is also known for its fun, high-performing, purpose-driven corporate culture.

In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), JSI will provide accommodation-accessible formats, and communication supports for the interview process upon request.

Our hiring process does not use artificial intelligence (AI) tools for screening, assessing, or selecting applicants. All applications are reviewed and evaluated by our HR team.