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Gen AI Developer (Python)
LinkedIn Recruiter Post
Senior Gen AI Developer role in Mississauga, ON (Hybrid). Requires 10+ years experience with Python, Generative AI, LLMs, and building production GenAI applications.
About the role
- Staff AI Engineer in People Technology at Grafana Labs developing AI-powered systems for global workforce support. Collaborating with various teams to build intelligent workflows and data products.
Responsibilities
- Design and build AI-powered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes across the People Team
- Architect solutions that leverage BigQuery as the central data layer, integrating platforms such as Workday, Greenhouse, Docebo, Tangelo, Salesforce, and other internal systems
- Establish and maintain CI/CD pipelines, testing frameworks, and observability standards for AI systems and automated workflows
- Define prompt engineering standards, version control practices, and evaluation frameworks for LLM-based systems operating on People data
- Partner with People Analytics to ensure AI systems operate on well-governed, high-quality datasets and align with established workforce metrics and data models
- Build internal dashboards, AI assistants, or automated workflows that support reporting, insights, and operational efficiency
- Collaborate with People partners to translate business problems into scalable technical solutions
- Define and track success metrics and measurable business outcomes for AI initiatives, including efficiency gains, time savings, and decision quality improvements
- Design systems that securely handle sensitive employee data using anonymization, aggregation, and robust access controls
- Establish governance standards for AI models, prompts, and automation workflows, ensuring compliance with internal security, privacy, and regulatory requirements
- Implement monitoring and evaluation frameworks that ensure AI systems operate accurately, fairly, and reliably over time
- Partner closely with Data Engineering and teams across People, IT, Security and Privacy, Finance, and GTM Operations to align data architecture and AI capabilities
- Collaborate with other AI Engineers across the organization to align on architecture patterns, shared tooling, and company-wide AI standards
- Document systems, architecture decisions, and governance frameworks for People AI initiatives
- Help establish internal standards for AI experimentation, deployment, and measurement of impact
- Provide guidance and enablement to People teams adopting AI-driven tools and workflows
- Create training materials, playbooks, and scalable frameworks that enable People team members to confidently build, trigger, and measure AI-assisted workflows independently
- Set technical direction for AI architecture within the People technology ecosystem
- Mentor and provide technical guidance to engineers and technical partners working on adjacent systems
- Influence cross-functional architecture decisions, advocating for responsible, scalable, and well-governed AI practices across the organization
- Drive alignment between AI initiatives and broader engineering standards, ensuring People systems are not built in isolation.
Requirements
- 7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLM-based workflows. Demonstrated ability to set technical direction, mentor engineers, and drive organization-wide impact through AI or automation initiatives
- Strong experience working with Google Cloud Platform and BigQuery for data processing and analytics
- Proficiency in Python, SQL, modern APIs, and LLM platforms or frameworks (OpenAI, Gemini, Claude, or similar), including integrating enterprise SaaS systems such as HRIS or CRM platforms
- Experience designing scalable data pipelines, automation frameworks, and analytics platforms, with a strong knowledge of data modeling, ETL/ELT pipelines, and analytics infrastructure
- Experience working with sensitive data environments and implementing responsible AI practices, including anonymization, access controls, governance, and regulatory considerations when applying AI to People data
- Ability to partner with both technical and non-technical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions.
Benefits
- 100% Remote, Global Culture
- Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Career Growth Pathways – Defined opportunities to grow and develop your career.
- Approachable Leadership – Transparent execs who are involved, visible, and human.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
- Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.
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