AI Solutions Engineer

Mhosaic; Montreal (administrative region); Hybrid; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive package

Job summary

You will implement AI assistants, orchestrate workflows, and deploy on cloud platforms like GCP or AWS, with emphasis on adaptability and cross-functional collaboration. Hybrid model with Montreal travel included.

Qualifications

• 3+ years of experience in full-stack software development.
• Degree in Computer Science, Software Engineering or related field.
• Experience with Docker, Kubernetes and CI/CD pipelines.
• Proficiency with relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).

Responsibilities

• Client collaboration to design AI solutions tailored to client needs.
• Develop roadmaps with clients to align development with business value.
• Define data structures and processes for generative AI integration.
• Build scalable backend/frontend services and APIs (Python, TypeScript, Node.js).
• Create, evaluate and refine AI assistants and workflows with LLM orchestration.
• Implement data ingestion, transformation and processing for continuous improvement.
• Architect and deploy solutions on GCP/AWS with Make, n8n, Zapier integrations.

Skills

Full-stack development

Problem solving

Self-learning

Education

BSc in Computer Science/Software Engineering or related field

Tools

Docker

Kubernetes

CI/CD

Job description

At Mhosaic, an engineer is simultaneously a developer, consultant, and AI solutions optimizer. You will play a role similar to that of a startup CTO, with end-to-end responsibility on high-stakes projects. Our mission is to support you in developing skills in technology strategy, product management and business to stay at the forefront of the profession's evolution.

What you'll do

Responsibilities

• Client collaboration. Understand client challenges and design AI solutions tailored to their needs
• Technology strategy. Develop roadmaps with clients to align development with business value
• Data architecture. Define processes and data structures for generative AI integration
• Full-Stack development. Build scalable backend/frontend services and APIs (Python, TypeScript, Node.js)
• AI solutions. Create, evaluate and refine AI assistants and workflows with LLM orchestration
• Context engineering. Implement data ingestion, transformation and processing for continuous improvement
• Cloud deployment. Architect and deploy solutions on GCP/AWS with integrations (Make, n8n, Zapier)

What we're looking for

Ideal profile

Experience

• 3+ years of experience in full-stack software development
• Degree in Computer Science, Software Engineering or related field
• Experience with Docker, Kubernetes and CI/CD pipelines
• Proficiency with relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB)

Technical skills

• Proficiency with AI assistants (Cursor.ai, ChatGPT/Claude, Claude Code)
• Ability to solve complex problems and take initiative
• Strong self-learning ability and interest in cross-functional skills

Qualities

• Adaptability and autonomy
• Creativity and curiosity
• Collaboration and open communication
• Resilience in the face of uncertainty

What we offer

Conditions

Location

Hybrid (Montreal) with client travel

Position type

Full-time

Compensation

Competitive package

Culture

Ready to take on the challenge