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8451
Страна
США
Зарплата
121 000 $ – 201 250 $
+500% приглашений

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на вакансии с ИИ

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LeadВ офисеПолная занятость

Lead Software Engineer (P4475, P4477)

Оценка ИИ

Отличная вакансия с конкурентной зарплатой, сильным социальным пакетом (5 недель отпуска) и возможностью работать на острие технологий (Agentic AI). Работа в крупной стабильной компании над инновационными продуктами.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области GenAI, MLOps и облачной инфраструктуры (Kubernetes, Azure/GCP). Высокий уровень ответственности за архитектуру платформы для AI-агентов и необходимость лидерства в быстро меняющейся среде делают позицию сложной.

Анализ зарплаты

Медиана175 000 $
Рынок145 000 $ – 210 000 $
Оценка ИИ

Предложенный диапазон ($121k - $201k) полностью соответствует рыночным стандартам для позиции Lead Engineer в США, особенно учитывая специализацию в области GenAI и MLOps. Верхняя граница диапазона является весьма привлекательной даже для крупных технологических хабов.

Сопроводительное письмо

I am writing to express my strong interest in the Lead Software Engineer – Agentic Foundations position at 84.51°. With a solid background in Python development and extensive experience in scaling AI/ML systems within Azure and GCP environments, I am particularly drawn to your team's mission of building the agentic backbone for the Kroger enterprise. My expertise in LangChain, FastAPI, and Kubernetes aligns perfectly with your requirements for developing robust agent registries and low-code platforms.

Throughout my career, I have successfully led the design of scalable cloud architectures and implemented end-to-end MLOps pipelines. I am excited about the opportunity to apply my 1+ years of GenAI experience to abstract complex agentic capabilities into developer-friendly interfaces. I am confident that my technical leadership and passion for operational excellence will contribute significantly to the Agentic Foundations team's success in accelerating time-to-value for AI solutions.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в 8451 уже сейчас

Присоединяйтесь к команде 84.51° и создавайте будущее AI-агентов для крупнейшего ритейлера США!

Описание вакансии

84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

________________________________________________________

Lead Software Engineer – Agentic Foundations (P4475, P4477)

LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Lead Software Engineer will provide hands-on technical leadership across architecture, implementation, and operations of core agentic capabilities, including agent/MCP/scorer/prompt registries, evaluation and monitoring tooling, and low-code/no-code agent platforms that abstract complexity for developers and business users. You will partner closely with product management, data science, and engineering peers and leaders to deliver enterprise-grade capabilities that accelerate time-to-value, improve quality and reliability, and promote compliant, best-practice use of agentic systems.

RESPONSIBILITIES:

  • Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise
  • Own technical outcomes for a more specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low-code/no-code agent platforms
  • Provide in-depth technical leadership to scope and implement scalable, secure, and reliable solutions;
  • Uphold standards for architecture, code quality, testing, and documentation
  • Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery
  • Work with offshore reliability engineering teams to ensure SLAs are upheld
  • Occasional participation in level 2 on-call support for production systems
  • Abstract complex capabilities into developer-friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption
  • Drive operational excellence across platforms, including incident management, on-call support, capacity planning, and cost optimization
  • Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

  • Professional experience with cloud-based software architecture focused on scalability, performance, and reliability
  • Professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
  • Professional experience with large-scale AI/ML systems, including 1+ years with GenAI and deep learning methods
  • Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
  • Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
  • Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
  • Professional experience with Kubernetes (AKS) and Helm
  • Professional experience with Python
  • Professional experience in ambiguous environments
  • Skilled in problem solving, analytic thinking, and creativity
  • Skilled in planning, organization, and verbal/written business communication
  • Skilled in maintaining a positive leader persona in ambiguous and changing environments
  • Demonstrated excellence as a teammate and leader
  • 4-6 years relevant experience
  • Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

#LI-SSS

#LI-Remote

Pay Transparency and Benefits

  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
  • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
  • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
  • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range

$121,000—$201,250 USD

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • Generative AI
  • LLM
  • LangChain
  • FastAPI
  • Kubernetes
  • Azure
  • Google Cloud Platform
  • MLOps
  • MLflow
  • PyTorch
  • CI/CD
  • Docker
  • Helm
  • OpenAI SDK

Возможные вопросы на собеседовании

Проверка практического опыта работы с фреймворками для создания AI-агентов.

Расскажите о вашем опыте использования LangChain или AutoGen для создания автономных агентов. С какими основными трудностями вы столкнулись при их масштабировании?

Оценка навыков проектирования системных интерфейсов для других разработчиков.

Как бы вы спроектировали реестр промптов (Prompt Registry), чтобы обеспечить версионность, тестирование и удобство использования для команд обработки данных?

Проверка знаний в области инфраструктуры и развертывания.

Опишите ваш опыт работы с Kubernetes (AKS) и Helm при развертывании высоконагруженных ML-сервисов. Как вы обеспечиваете отказоустойчивость?

Оценка понимания жизненного цикла ML-моделей.

Какие метрики и инструменты вы считаете критически важными для мониторинга производительности и качества ответов LLM в реальном времени?

Проверка лидерских качеств в условиях неопределенности.

Приведите пример ситуации, когда вам приходилось принимать архитектурное решение в условиях неполных требований. Как вы аргументировали свой выбор команде?

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8451
Страна
США
Зарплата
121 000 $ – 201 250 $