Posted 2 days ago
Senior Data Science Developer JP244
@ Pathlion
Toronto, Ontario
Overview
Pathlion is hiring a Senior Data Science Developer to design, build and deploy enterprise AI solutions, including Generative AI applications, intelligent agents and reusable AI components. The work involves LLMs, retrieval-augmented generation, agentic AI and integration with enterprise data and workflows, moving prototypes toward production.
Responsibilities:
- Design and implement GenAI applications and intelligent agents for priority use cases
- Build reusable AI components, services and APIs across business areas
- Integrate AI solutions with enterprise data sources, applications and workflows
- Evaluate and continuously improve solution performance, reliability and accuracy
- Document solutions and share knowledge to build internal AI capability
Requirements summary:
- Experience developing LLM and retrieval-augmented generation solutions
- Experience with machine learning and agentic AI techniques
- Strong software engineering practices including testing, CI/CD and version control
- Knowledge of Responsible AI, privacy, security and data governance
Source and dates
Source type not verified · manatal
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Pathlion
| Field | Value |
|---|---|
| Open jobs on Jobsy | 82 |
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.
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