AI & Machine Learning Software Developer
Please note that the successful candidate must be based in Edmonton or Calgary, as this is a hybrid role with in-office days on Monday and Wednesday.
Our client is seeking a highly motivated AI & Machine Learning Software Developer to join their growing product and engineering team. Reporting to senior product leadership and working closely with advisors and cross-functional stakeholders, this role will play a key part in shaping how modern AI technologies are applied in a production software environment.
This is an opportunity to experiment, prototype, and bring AI-driven features to life. The successful candidate will work with modern large language models, build NLP and retrieval pipelines, and translate research into meaningful product capabilities.
Position Overview
Full-time, permanent role
Hybrid work environment
About the Opportunity
Our client is a Canadian-based technology company developing a SaaS platform designed to help organizations manage and improve their engagement, communication, and relationship workflows. Their solution enables users to track interactions, manage information, and generate insights that support better decision-making.
The organization offers a collaborative and fast-paced environment where innovation, experimentation, and continuous improvement are encouraged. Employees benefit from a supportive culture, competitive compensation, and a comprehensive benefits package.
Key Responsibilities
Collaborate with product and engineering teams to define requirements and identify opportunities where AI/ML can enhance product capabilities
Research, prototype, and implement AI-driven features from concept through to production
Design and run experiments, including defining evaluation criteria and refining prompts, retrieval strategies, and model selection
Integrate and orchestrate large language models into applications, including prompt engineering, embeddings, and vector search
Develop and deploy NLP solutions such as classification, summarization, sentiment analysis, and entity extraction
Build and maintain scalable AI/ML pipelines and production systems
Monitor model performance and continuously optimize solutions post-deployment
Support data analysis and data normalization initiatives
Contribute to technical documentation and support research and development activities
Stay current with emerging trends in AI, machine learning, and natural language processing
Participate in agile development processes, including backlog refinement and troubleshooting
Qualifications
Required
Strong proficiency in Python
Post-secondary education in Computer Science, Engineering, Statistics, or a related technical field
Minimum 2 years of hands-on experience in AI and/or machine learning development
Strong understanding of machine learning and NLP concepts
Experience working with large language models, including prompt engineering and evaluation
Familiarity with deep learning frameworks such as PyTorch or TensorFlow
Experience deploying AI/ML solutions into production environments
Understanding of MLOps practices such as CI/CD, monitoring, and containerization
Strong problem-solving, communication, and collaboration skills
Nice to Have
Experience with retrieval-augmented generation (RAG), embeddings, and vector databases
Exposure to full-stack software development
Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies
Familiarity with big data tools and distributed systems
Experience with relational and/or NoSQL databases
Knowledge of agile development methodologies
Experience with version control systems and modern development tools
Compensation & Benefits
Competitive base compensation and performance-based incentives
Comprehensive health and wellness benefits
Retirement savings program with employer contributions
Flexible work environment
Professional development opportunities
Employee-focused culture with team-building initiatives
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