4 дня назад
Senior Software Developer (Applied AI)
103 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Developer (Applied AI) (Agentic SDLC/MCP/LLM): Building the infrastructure behind AI agent workflows, connectors, evaluation harnesses, observability, telemetry, and guardrails for government software with an accent on production reliability, security, and measurable quality. Focus on designing agent orchestration, implementing least-privilege integrations, measuring model and workflow performance, and controlling AI cost at scale.
Location: Remote within Canada; occasional travel for in-person company-wide or departmental meetings, typically 1–2 times per year.
Base salary: $103,000–$160,000 per year, depending on skills, experience, qualifications, and internal pay equity.
Company
builds community development software for cities and counties, including permitting, licensing, plan review, and local-government workflows.
What you will do
- Build and evolve the Agentic SDLC framework, including agent workflows, orchestration templates, and reusable components.
- Design, implement, and operate MCP servers and integrations with core systems using versioning, testing, monitoring, and least-privilege permissions.
- Develop evaluation harnesses, regression suites, CI quality gates, and scoring infrastructure for agent workflows.
- Implement observability for token spend, latency, evaluation pass rates, usage, and workflow-level cost and quality metrics.
- Build permissioning, audit trails, versioning, output controls, skill libraries, onboarding flows, and self-service AI tooling.
- Work with the Technical Product Manager and a small autonomous pod to own architecture, implementation, and operational reliability.
Requirements
- 6+ years of experience shipping production software systems.
- 1–2 years of experience building LLM-powered or agentic systems used by real users.
- Strong experience with distributed systems, API design, CI/CD, and cloud infrastructure.
- Hands-on experience with agent frameworks or coding agents, MCP or comparable tool protocols, structured outputs, and eval-driven development.
- Ability to work autonomously in a small pod and improve the throughput of other engineering teams.
- Must be located in Canada for this remote role.
Nice to have
- Experience with regulated or public-sector software and auditable, defensible AI outputs.
- DevOps, platform engineering, or internal developer platform ownership experience.
- Experience optimizing LLM cost and quality at scale through model routing, caching, prompt compression, or fine-tuning.
Culture & Benefits
- Competitive compensation, time off, and benefits supporting employees and their families; benefits depend on employment type.
- Ownership, continuous learning, direct and respectful communication, and customer-focused decision-making.
- Remote work with occasional in-person company-wide or departmental meetings.
- Comprehensive background checks focused on relevant sanctions and criminal offenses are required before joining.
- Accommodations are available throughout the application and hiring process.
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