Senior Data Science Developer JP244

P@thlion Staffing Careers; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

P@thlion Staffing Careers seeks a Senior Data Science Developer to design, develop, and implement enterprise AI solutions, including GenAI applications and intelligent agents. You will create reusable AI components and patterns to accelerate priority use cases and reduce reliance on one-off solutions.

You will work with data sources, APIs, and business workflows, applying modern software engineering practices to deliver secure, scalable AI systems.

Qualifications

• Design, develop, and implement GenAI applications for priority business use cases.
• Build reusable AI components, services, APIs, and solution patterns.
• Develop solutions using LLMs, RAG, agentic AI, and ML techniques.

Responsibilities

• Design, develop, test, and implement GenAI applications and AI-enabled solutions.
• Build reusable AI components, services, and APIs across business areas.
• Integrate AI with data sources, applications, APIs, and workflows.
• Evolve prototypes toward secure, production-ready implementations.
• Collaborate with Product Managers and engineers to translate requirements into AI solutions.
• Apply version control, testing, CI/CD, monitoring, and performance optimization.

Skills

GenAI applications

Intelligent agents

AI-enabled solutions

Software engineering practices

Job description

The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role will accelerate delivery of priority AI use cases and establish reusable capabilities that reduce reliance on one-off solutions and external resources.

Key Responsibilities

• Design, develop, test, and implement GenAI applications, intelligent agents, and AI-enabled solutions for priority business use cases.
• Build reusable AI components, services, APIs, and solution patterns that can be leveraged across multiple business areas.
• Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and related AI techniques.
• Integrate AI solutions with enterprise data sources, applications, APIs, and business workflows.
• Develop prototypes and proofs of concept and evolve successful solutions toward secure, scalable, production-ready implementations.
• Partner with Product Managers, Data Scientists, Data Engineers, Data Architects, and business teams to translate requirements into working AI solutions.
• Apply software engineering practices including version control, testing, documentation, CI/CD, monitoring, and performance optimization.
• Evaluate AI solution performance, reliability, accuracy, and scalability and continuously improve implemented solutions.
• Incorporate Responsible AI, privacy, security, and data governance requirements into solution design and development.
• Contribute to reusable enterprise AI patterns, development standards, technical documentation, and knowledge transfer to strengthen internal AI capability.