Senior AI Platform Engineer
New
J
JobgetherLegal Technology
CanadaFull-TimeSenior
SalaryCAD $126,000–$175,000 per year
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Job Details
- Experience
- 7+ years
- Required Skills
- PostgreSQLPythonTypeScriptLLMLangChainDistributed Systems
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or related technical discipline, or equivalent practical experience.
- 7+ years of professional experience building production software with end-to-end ownership.
- Proven experience developing production AI/LLM systems, particularly retrieval-augmented generation (RAG) and agentic workflows.
- Strong proficiency in Python and the ability to work comfortably within TypeScript codebases.
- Solid understanding of distributed systems, asynchronous and event-driven architectures, and large-scale batch data processing.
- Demonstrated experience owning production reliability, including instrumentation, monitoring, on-call practices, and incident response.
- Strong architectural and systems-thinking capabilities for evaluating technical trade-offs.
- Excellent written and verbal communication skills for technical and non-technical stakeholders.
- Ability to work independently and influence engineering direction without direct management responsibility.
- Experience mentoring engineers and raising technical standards through design and code reviews.
Responsibilities
- Design, build, and own platform capabilities supporting AI agents, including orchestration, retrieval, model routing, tool integration, and reliability.
- Architect retrieval systems capable of operating across large-scale document collections.
- Develop shared platform services for prompt management, caching, rate limiting, and cost attribution.
- Build evaluation frameworks measuring accuracy, grounding, citation quality, and performance.
- Develop observability, tracing, and replay capabilities for troubleshooting and continuous improvement.
- Optimize latency, throughput, scalability, and cost across AI workloads.
- Implement governance, auditability, and human-in-the-loop controls for regulated workflows.
- Lead technical decisions and raise engineering standards through code reviews and mentoring.
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