Posted 3 months ago
Manager, AI Engineer (Python)
@ hireVouch
Toronto, Ontario
Overview
hireVouch is hiring a Manager, AI Engineer (Python) to lead and hands-on build Python-based engineering teams and Gen AI solutions. The role covers LLM pipelines, RAG and agentic architectures, and AWS cloud delivery, with mentoring and Agile delivery ownership. The posting requires 6+ years of engineering experience including 1-2 years leading AI initiatives.
Responsibilities:
- Lead and manage Python-based engineering teams
- Design and build scalable Gen AI solutions and LLM pipelines
- Implement cloud-native solutions on AWS
- Own end-to-end delivery using Agile practices
- Monitor operational metrics and ensure DevSecOps compliance
Requirements summary:
- 6+ years of progressive engineering experience
- 1-2 years leading emerging tech or AI initiatives
- Experience with Gen AI frameworks such as LangChain and Amazon Bedrock
- Strong Python, React and AWS skills
- Familiarity with Agile Scrum/Kanban and DevSecOps
Tools & skills
Source and dates
Source type not verified · cats
- Employer posting date
- 2026-08-04
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-04
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 6+ years |
| Management experience | 1+ years |
| Manages people | Yes |
| 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.
hireVouch
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
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Full company description
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- LinkedIn followers
- 68,412
- People associated on LinkedIn
- 7
- Reported office locations
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Other recorded names
- hireVouch
- Profile identifies a recruitment agency
- Yes
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 2-10 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2016 |
| Open jobs on Jobsy | 175 |
| View page |
Manager AI Engineer - Python
As a Manager Technology, you will lead and manage and hands on Python-based engineering teams, ensuring the successful delivery of high-quality, scalable, and efficient solutions. You will work closely with cross-functional teams to drive technical excellence, mentor engineers, and contribute to the strategic direction of technology initiatives.
AI Engineer Responsibilities
- Lead and actively contribute to the development of AI products, pilots and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
- Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.
- Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
- Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
- Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
- Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.
- Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
- Monitor operational metrics and incident data to drive continuous improvement and reliability.
- Ensure adherence to governance, DevSecOps protocols.
Experience/Skiils:
- 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
- Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques
- Agentic AI, MCP, and Graph/RAG architectures
- Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
- Web application development using Next.js, React, TypeScript/JavaScript
- AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)
- Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments
- ETL orchestration using Apache Airflow/DAGs
- Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization
- Python programming (NumPy, Pandas, Matplotlib, Boto3)
- Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,)
- Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
- Knowledge of LLM fine tuning techniques
- Experience in BI tools like QuickSight, Tableau
- Knowledge of financial markets and enterprise data systems
Journal
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