AI Software Engineer

Location:

Remote – Anywhere in Canada
Job Type:  Full-Time |
About the Opportunity  Talentlab is looking for an  AI Software Engineer  to join our client's growing AI and Data team. This is a hands-on role focused on building and deploying real-world AI and Machine Learning solutions.
You’ll 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.
You’ll work closely with Data Scientists, Software Engineers, Cloud/Dev Ops teams, and business stakeholders to build solutions that are scalable, secure, and practical.
What You’ll Be Working On   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 Dev Ops 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
What We’re Looking For   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 don’t need to have experience with every technology listed above. We’re looking for someone with a strong engineering foundation who is interested in building practical, production-ready AI solutions.
Why This Opportunity?
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

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