Work Model: Hybrid (4 days onsite, 1 days remote)

Duration: 12 Months (Extension & Conversion Possible)

Position Summary

- The AI Engineer is responsible for designing, building, and deploying scalable AI and Machine Learning solutions that improve business processes, enable automation, and enhance decision-making. The role combines software engineering, machine learning, and data engineering expertise to build enterprise-grade AI applications in production environments.

Key Responsibilities Design and build end-to-end AI/ML pipelines including:

- Data peprocessing
- Feature engineering
- Model validation
- Deployment

Fine-tune Large Language Model (LLM) applications using frameworks such as:
- LangChain
- LangSmith
- OpenAI APIs

Deploy production-ready models using CI/CD pipelines Build scalable APIs and microservices for real-time model serving

Implement monitoring for

- Model drift
- Performance
- Reliability

Collaborate with Data Engineering teams to define data requirements Work with structured and unstructured datasets using:
- Python
- SQL
- Spark
- Pandas

Ensure data quality, governance, and security standards Evaluate emerging AI frameworks and technologies

Prototype new AI solutions and conduct proof-of-concept experiments

Stay current with advancements in:

- Large Language Models
- Vector embeddings
- Multimodal AI
- Model optimization techniques

Partner with Product Managers and business stakeholders to translate business needs into AI solutions Collaborate with Cloud Engineering and DevOps teams for scalable deployments





Communicate technical concepts effectively to non-technical audiences

Must have 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

Education:

- Bachelor’s degree in computer science, Engineering, Mathematics, Business, Accounting, or a related discipline.

About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .

US Tech Solutions is an Equal Chance Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

📌 Artificial Intelligence Engineer #26-19285 (Toronto)
🏢 US Tech Solutions
📍 Toronto