AI Software Engineer

Talentlab; Canada; Remote; CAD 90,000 - 130,000; Full time

Job summary

Talentlab is seeking 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 ML solutions.

You’ll work at the intersection of software engineering, AI/ML, cloud, and MLOps, delivering LLM-powered applications, RAG, vector search, and agentic AI. Collaboration with Data Scientists and DevOps is essential.

Qualifications

• 3+ years of industry experience in ai, ML, or software development.
• Strong Python and SQL programming skills.
• Experience deploying AI/ML solutions to production.
• Experience with Azure and cloud data platforms such as Snowflake or Databricks.

Responsibilities

• 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 RAG, vector databases, and AI agents.
• Build APIs 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.
• Collaborate with Cloud/DevOps on CI/CD and deployment automation.
• Help develop MLOps and LLMOps practices and improve the AI platform.

Skills

Python

SQL

Azure

ML Ops

LLM APIs

Vector databases

Prompt engineering

AI agents

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Databricks

Microsoft Fabric

Job description

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