Artificial Intelligence Engineer

Job Title: AI Engineer Duration: 12 months Location: Toronto, ON (Hybrid- 4 days onsite) Schedule: M-F, core business hours – 37.5 hours per week, 7.5 hours per day Job Description: The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments. Key ResponsibilitiesDevelop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment. Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs. Deploy models into production using CI/CD pipline. Build scalable microservices or APIs to serve ML models in real time. Implement monitoring for model drift, performance, and reliability. Collaborate with data engineering teams to define data requirements. Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc. Ensure data quality, governance, and security Evaluate new AI frameworks, tools, and techniques. Prototype solutions and run experiments to explore feasibility. Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization. Work with product managers and business teams to translate business problems into AI solutions. Partner with cloud engineers and DevOps teams for scalable deployment. Communicate complex technical concepts to non-technical stakeholders. MUST-HAVE Hard Skills:Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow). Experience with LLMs, NLP, or deep learning. Strong knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes. Experience with cloud platforms (AWS/GCP/Azure) and model deployment. Strong understanding of data structures, algorithms, and software engineering best practices. SOFT SKILLS:Strong communication skills (written and verbal) Strong time management Attention to detail and someone who is a self-starter and adaptable Strong documentation skills Strong problem-solving and analytical thinking skills NICE-TO-HAVE Banking or financial institution experience Agile experience Applicant Notices & Disclaimers For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is C$95.00/hr.

The AI Engineer designs, builds, and deploys scalable AI/ML solutions and end-to-end pipelines to automate business processes. This includes fine-tuning LLM-based applications and implementing monitoring for model performance and reliability.

Candidates must have strong programming skills in Python and experience with deep learning, LLMs, and MLOps tools. Proficiency in cloud platforms and software engineering best practices is required.

• Microsoft AzureSouhaitée
• KubernetesSouhaitée
• SQLSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• Amazon Web ServicesSouhaitée
• Google CloudSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• LLMs
• NLP
• MLOps
• PyTorch
• TensorFlow
• Docker
• Kubernetes
• AWS
• GCP
• Azure
• LangChain
• SQL
• Spark
• Pandas
• CI/CD

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting

Expérience minimale

5+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

38 heures par semaine

Présence au bureau

4 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte