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Senior Software Engineer - AI Engineering
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Mercury·Canada, USA·4 авг.

Senior Software Engineer - AI Engineering

от 18 225 $
≈ от 1,6 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
Навык востребован (engineer).
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

In 1600, William Gilbert published De Magnete—the first systematic study of magnetism. He didn't just theorize; he built instruments, ran experiments, and shared what he learned so that others could go further. Three centuries later, those foundations helped power the modern world. At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries—building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context

Чем предстоит заниматься

You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion, and to help partner teams adopt it
Build and refine sandbox environments and tooling that let engineers experiment with AI safely and at speed
Create self-service scaffolding so non-engineers—PMs, ops, finance—can prototype and deploy AI-powered workflows with minimal hand-holding
Build playgrounds and evaluation harnesses so internal AI agents can be tested and iterated in controlled environments before hitting production
This list is illustrative. Priorities will shift as we learn; the right person will help choose the next highest-leverage work

Дополнительно

Build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers
Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams
Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely
Shape and maintain structured context artifacts—clean, reliable, agent-consumable—so LLMs working in Mercury's systems can reason accurately about our domain
Improve internal knowledge discoverability and retrieval so both humans and agents can quickly find accurate answers
Partner with domain teams to standardize key sources of truth, and keep them fresh
Has 5+ years of backend development experience in complex, production systems—you've built things that other engineers depended on
Is fluent across programming languages and can navigate platform engineering, infrastructure, and developer tooling without needing a map
Has hands-on experience building LLM-powered systems—RAG pipelines, agents, eval frameworks—and has shipped at least one of these to production
Understands the real tradeoffs in AI deployments: cost modeling, observability, latency, and safety—not just the exciting parts
Is high-agency and self-directed. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done
Communicates clearly across technical and non-technical audiences—you can explain what you built and why it matters
The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers
US employees (any location): $166,600 - $218,700
Canadian employees (any location): CAD 157,400 - 206,650
Our target new hire base salary ranges for this role are the following

Технологии и навыки

software engineering
engineer
saas
M
Mercury
Canada, USA

ГрейдSenior
ЗанятостьПолная занятость
РегионКанада
ФорматУдалённо
ИсточникСкрыто
Опубликовано4 авг.

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