AI Software Engineer

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

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.

• 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

• 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.

• 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