Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль уровня Staff в известной продуктовой компании с серьёзной ответственностью за production AI-системы и актуальную тему агентной разработки; главный нюанс - высокие требования к подтверждённому опыту внедрения таких систем.
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Нужен серьёзный опытПонятная зона ответственностиПередовой AIПродукт в сфере здоровья
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff AI Engineer (Developer Productivity) (AI/Agentic Development): Architecting and operating an agentic software-development pipeline that spans specification, implementation, review, testing, CI/CD, release, observability, and incident follow-up with an accent on production reliability, evaluation, safety, and developer adoption. Focus on designing agent orchestration and guardrails, measuring workflow quality and cost, and turning rapid prototypes into trusted infrastructure used by engineering squads.
Location: Hybrid from hirify.global offices in Helsinki, Oulu, or Tampere, Finland.
Company
hirify.global develops connected health products, including the hirify.global Ring and app, which provide insights into readiness, activity, and sleep quality.
What you will do
Set the technical direction and own the architecture of the agentic development pipeline, including agent orchestration, context management, tool calling, reliability, throughput, cost, and developer experience.
Extend agentic workflows across the software development lifecycle, including specification checks, test generation, automated review, CI failure triage and repair, release verification, and post-deployment signals.
Prototype workflows quickly on real tickets, validate them with engineering squads, and harden successful approaches into production infrastructure.
Own evaluation sets, LLM-as-a-judge grading, versioning, tracing, dashboards, and metrics such as merge rate, rework, time-to-signal, cost per change, and escaped defects.
Design safe autonomy through sandboxing, permissions, human checkpoints, privacy-by-design controls, and risk-based guardrails.
Drive adoption across platform, developer productivity, security and privacy, AI infrastructure, mobile, backend, product, design, and engineering leadership teams.
Requirements
Experience building and operating production systems used by other engineers, including developer tooling, internal platforms, or AI infrastructure at scale.
Experience building and operating agentic coding workflows or autonomous loops in a real engineering organization, such as background agents producing pull requests, automated review, CI repair, or test generation, with adoption and measured results.
Ability to reason across specification, review, testing, CI/CD, release, and operations as one lifecycle.
Technical leadership experience setting direction across teams, writing architectural designs, and making architecture and risk decisions.
Strong fundamentals in at least one of mobile development or backend APIs, plus concurrency, distributed systems, testing, debugging, and reliability.
Fluency in one of backend, iOS, or Android, with the ability to work across platforms and learn new stacks quickly.
Understanding of security, privacy, sensitive personal data, and safe agent access to real systems.
Ability to work through ambiguity, shape requirements through experimentation, communicate clearly, collaborate with skeptical stakeholders, and remain resilient when experiments fail.
Nice to have
Deep experience with coding-agent skills, MCP servers, hooks, sub-agent orchestration, or headless runs.
Experience building coding-agent evaluation harnesses or benchmarks, including LLM-as-a-judge grading linked to build and test outcomes.
Experience with sandboxed execution at scale, ephemeral development environments, VM or container fleets, or macOS build infrastructure.
Background in developer productivity measurement, including DORA, SPACE, or DX Core 4, and using metrics to inform decisions.
Experience shipping to mobile applications or other environments with slow and expensive feedback loops.
Experience in digital health, wearables, MedTech, or other privacy-sensitive or regulated products.
Contributions to open-source AI projects or a portfolio using recent agent capabilities.
Experience mentoring engineers or leading an engineering community of practice.
Culture & Benefits
Hybrid work from offices in Helsinki, Oulu, or Tampere with flexible working hours.
Competitive salary, lunch benefit, wellness benefit, and Wellness Time Off.
Collaborative environment with smart teammates.
Personal hirify.global Ring provided.
Benefits vary by country of employment.
Hiring process
Applications and CVs are reviewed as suitable candidates are found.
Interviews begin as soon as suitable candidates are identified.
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