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/DevOps 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 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

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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