AI Software Engineer

Location: Remote Anywhere in Canada
Job Type: Full-Time

Talentlab is looking for an AI Software Engineer to join our clients growing AI and Data team. This is a hands-on role focused on building and deploying real-world AI and Machine Learning solutions.

Youll work at the intersection of software engineering AI/ML cloud and MLOps helping take ideas from experimentation through to reliable production systems. The work will include LLM-powered applications RAG intelligent document processing vector search and agentic AI.

Youll work closely with Data Scientists Software Engineers Cloud/DevOps teams and business stakeholders to build solutions that are scalable secure and practical.

• Design develop and deploy AI/ML applications and services
• Build and improve ML pipelines for training evaluation deployment and monitoring
• Develop LLM-powered applications using technologies such as RAG vector databases and AI agents
• Build APIs automation and supporting services around AI/ML solutions
• Deploy AI solutions in Microsoft Azure and enterprise data environments
• Improve testing monitoring observability and reliability of AI systems
• Work with Cloud and DevOps teams on CI/CD deployment automation and infrastructure
• Help develop MLOps and LLMOps practices and improve the overall AI platform
• Work with the broader team to solve technical challenges and bring new AI capabilities into production

• Degree in Computer Science Software Engineering Electrical Engineering Computer Engineering or a related field
• 3 years of industry experience developing AI Machine Learning or software applications
• Strong Python and SQL skills are a MUST
• Solid software engineering fundamentals and experience building production applications APIs or cloud-based systems
• Experience taking AI/ML solutions from development into production
• Experience with Microsoft Azure and modern cloud data platforms such as Snowflake Databricks Microsoft Fabric or similar technologies.
• Familiarity with Generative AI technologies such as LLM APIs RAG vector databases prompt engineering and AI agents
• Understanding of MLOps LLMOps model deployment monitoring and production reliability
• Strong problem-solving and communication skills

You dont need to have experience with every technology listed above. Were looking for someone with a strong engineering foundation who is interested in building practical production-ready AI solutions.

• Work on real-world AI projects not just experiments and prototypes
• Build and scale modern ML and Generative AI applications
• Work across software engineering AI/ML cloud and MLOps
• Have a voice in how AI systems are designed and built
• Work with a collaborative cross-functional technical team
• Fully remote anywhere in Canada