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- США
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- 118 976 $ – 197 600 $
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Sr. Generative AI Software Developer
Esri — мировой лидер в своей нише с отличной репутацией. Вакансия предлагает работу над передовыми технологиями (GenAI + GIS), конкурентную зарплату и сильный социальный пакет.
Сложность вакансии
Роль требует глубоких знаний как в области классической разработки на Python, так и в специфических AI-технологиях (RAG, агентные воркафлоу). Дополнительную сложность придает необходимость работы с геопространственными данными и платформой ArcGIS.
Анализ зарплаты
Предложенный диапазон ($119k – $198k) полностью соответствует рыночным стандартам для Senior AI инженеров в Калифорнии. Верхняя граница диапазона даже несколько выше медианы для городов за пределами Кремниевой долины, что делает предложение весьма привлекательным.
Сопроводительное письмо
I am writing to express my strong interest in the Sr. Generative AI Software Developer position at Esri. With over five years of experience in Python-based machine learning and a deep focus on RAG systems and agentic workflows, I am excited about the opportunity to enhance geospatial data quality within the ArcGIS platform. My background in building scalable ML pipelines and my commitment to software engineering excellence align perfectly with the goals of your Professional Services division.
Throughout my career, I have specialized in transforming complex data challenges into high-performance distributed solutions. I am particularly drawn to Esri's mission of creating positive global change through GIS technology. I am confident that my expertise in AI/ML algorithms, combined with my experience in Agile environments, will allow me to contribute immediately to the development of robust, production-ready software that serves the global GIS community.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в esri уже сейчас
Присоединяйтесь к лидеру в области ГИС-технологий и создавайте будущее пространственного интеллекта вместе с Esri!
Описание вакансии
Overview
Esri’s Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations.
In this position, you will design and develop software used by organizations across diverse markets and industries to ensure quality and consistency in their geospatial data holdings. You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver capabilities that enable our customers to make a difference in communities around the world.
As part of the Professional Services division, you will work closely with product teams, domain experts, and technical specialists to create robust, production-ready software that transforms and advances geospatial data quality. If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on cutting-edge technologies that shape how organizations build, validate, and maintain accurate geospatial assets.
Responsibilities
- Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
- Build software that follows industry-standard design patterns, development methodologies, and deployment models
- Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
- Build scalable ML pipelines and data engineering processes to improve overall system architecture
- Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
- Work effectively in an Agile Scrum team environment and iterative development cycles
Requirements
- 5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems
- Strong understanding of object-oriented principles, software architecture, and API design
- Ability to analyze software/algorithms and identify improvements
- Experience with software development using Python, ML frameworks and RAG systems
- Bachelor's degree in computer science, mathematics, or STEM related field
Recommended Qualifications
- Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
- Experience analyzing large geospatial datasets and working with vector databases
- Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
- Experience in developing REST based services and cloud deployment patterns
- Understanding of key AI concepts, model evaluation and agentic workflows
- Experience with Agile development methodologies and CI/CD pipelines
- Master's degree in computer science, mathematics, or STEM related field
#LI-DR5
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$118,976—$197,600 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
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Навыки
- Python
- Machine Learning
- Generative AI
- RAG
- ArcGIS
- C++
- REST
- CI/CD
- Agile
- Vector Databases
- Software Architecture
Возможные вопросы на собеседовании
Вакансия сфокусирована на Generative AI и RAG системах.
Как бы вы спроектировали RAG-систему для работы с крупными векторными геопространственными наборами данных?
В требованиях указаны агентные воркафлоу.
Опишите ваш опыт разработки автономных AI-агентов: какие фреймворки вы использовали и как решали проблему зацикливания или галлюцинаций?
Упоминается работа с распределенными системами и масштабируемыми пайплайнами.
Как вы обеспечиваете масштабируемость ML-пайплайнов при обработке терабайтов пространственных данных в реальном времени?
В рекомендованных навыках указан C++ для критических по производительности участков.
В каких случаях при разработке AI-компонентов на Python вы бы приняли решение переписать часть логики на C++?
Позиция подразумевает работу в Professional Services и взаимодействие с экспертами предметной области.
Расскажите о случае, когда вам пришлось адаптировать сложную техническую AI-концепцию для бизнес-заказчика или эксперта без технического бэкграунда.
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- Страна
- США
- Зарплата
- 118 976 $ – 197 600 $