- Страна
- США
- Зарплата
- 130 000 $ – 175 000 $
Откликайтесь
на вакансии с ИИ

Software Engineer, AI Engineering
Привлекательная вакансия в перспективной сфере AI с конкурентной зарплатой для рынка США. Работа в основном инженерном составе (core team) дает возможность реально влиять на продукт, хотя требование полной работы из офиса может подойти не всем.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям распределенных систем, параллельных вычислений (Dask) и интеграции LLM. Позиция предполагает работу в офисе (Bellevue, WA), что сужает круг кандидатов, но повышает планку ответственности за архитектурные решения.
Анализ зарплаты
Предлагаемый диапазон $130k–$175k полностью соответствует рыночным стандартам для Senior/Middle+ инженеров в штате Вашингтон. Верхняя планка в $175k является конкурентной для стартапов и компаний среднего размера в регионе Белвью/Сиэтл.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer, AI Engineering position at Prorata. With over 5 years of experience in backend development and a deep focus on Python-based distributed systems, I am excited about the opportunity to contribute to your core engineering team. My background in architecting high-performance data pipelines and optimizing SQL/NoSQL databases aligns perfectly with your requirements for building scalable AI-driven backend services.
In my previous roles, I have successfully implemented agentic workflows and integrated LLMs into production environments, which has given me a practical understanding of the trade-offs involved in AI orchestration. I am particularly impressed by Prorata's mission and would welcome the chance to apply my expertise in Dask, FastAPI, and cloud infrastructure to help scale your platform. I am eager to bring my technical rigor and collaborative mindset to your Bellevue-based team.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в prorata уже сейчас
Присоединяйтесь к команде Prorata и создавайте будущее ИИ-инфраструктуры в самом сердце Белвью!
Описание вакансии
Role
You will be part of a core engineering team responsible for designing and building large-scale backend services, high-performance data processing pipelines, and robust storage systems. You bring deep expertise in Python, distributed systems, relational/NoSQL databases, and backend service architectures. You are experienced in building highly available services, optimizing data access patterns, and designing systems that balance performance, reliability, and cost. You can clearly articulate architectural trade-offs, evaluate multiple design approaches, and deliver clean, scalable solutions.
Responsibilities
- Design, implement, and maintain scalable, robust, and high-performance backend services using Python.
- Architect data-intensive systems that ingest, transform, and serve large structured and unstructured datasets in (near) real time.
- Develop APIs, microservices, workflow pipelines, and internal tools that support mission-critical platform components.
- Own the design and optimization of SQL and NoSQL data schemas, data access patterns, indexing strategies, and performance tuning.
- Recommend and implement improvements to service reliability, efficiency, observability, and cost optimization.
- Design and integrate agentic workflows and AI-driven automation into backend systems, enabling autonomous task orchestration and intelligent system behavior.
- Collaborate with product, data, and revenue teams to build new customer-facing features and internal data capabilities.
Qualifications
- BS/MS in Computer Science, Engineering, or equivalent practical experience
- 5+ years of experience in software engineering with increasing technical responsibilities
- 3+ years of hands-on Python development, with proven experience building production backend systems.
- Strong expertise in distributed backend architectures, microservices, and event-driven systems
- Experience with SQL databases (PostgreSQL, MySQL, or similar) including query optimization, schema design, and scalability.
- Hands-on experience with NoSQL technologies, such as Elasticsearch, MongoDB, Redis, or similar.
- Experience building and deploying solutions on public cloud platforms (AWS, GCP, or Azure).
- Familiarity with workflow orchestration tools such as Prefect, serverless compute, Step Functions, or similar.
- Hands-on experience with Dask for parallel computing, distributed data processing, or scaling Python workloads.
- Knowledge of DevOps, CI/CD, containers (Docker/Kubernetes), security best practices, and automated testing.
- Excellent debugging skills and ability to understand, refactor, and optimize other engineers’ code.
- Strong communication skills and ability to document and defend architectural decisions.
Preferred Qualifications
- Familiarity with one or more generative AI libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face Transformers, or similar frameworks
- Experience using LLMs and embedding providers programmatically, including integrating model/embedding APIs into backend systems
- Hands-on Experience with web technologies or backend frameworks such as FastAPI, Node.js
Work Environment
- Location: This position is Onsite. This role is based at our Bellevue, WA office location, and employees are expected to work on-site during regular business hours.
Compensation
- The compensation for this position will be competitive and commensurate with experience. The estimated salary range for this role is 130,000 - 175,000 USD.
What We Offer
- Opportunity to work at the forefront of AI technology
- Collaborative and innovative work environment
- Competitive salary and benefits package
- Professional development and growth opportunities
- Chance to make a significant impact on the company's success
Equal Employment Opportunity
- ProRata is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business needs.
California Specific Notices
- At-Will Employment: Employment at ProrataAI is at-will. This means that either the employee or the employer may terminate employment at any time, with or without cause or prior notice.
- Salary Disclosure: In compliance with California law, salary information is provided to ensure transparency and fairness.
- California Consumer Privacy Act (CCPA): ProrataAI complies with the CCPA. Personal information collected during the recruitment process will be used for employment purposes only.
\This open position is not eligible for Company sponsorship of a visa that would require a new H-1B visa petition that is subject to the $100,000 payment requirement announced in the Presidential Proclamation titled “Restriction on Entry of Certain Nonimmigrant Workers,” dated September 19, 2025 (or any extensions or modifications of the Proclamation).*
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- AWS
- Azure
- Python
- GCP
- PyTorch
- Kubernetes
- CI/CD
- PostgreSQL
- Microservices
- Redis
- Docker
- Distributed Systems
- MySQL
- TensorFlow
- NoSQL
- FastAPI
- ElasticSearch
- MongoDB
- LangChain
- LlamaIndex
- Dask
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами и понимания инструментов параллельной обработки данных, указанных в вакансии.
Расскажите о вашем опыте использования Dask для масштабирования Python-нагрузок. С какими основными проблемами производительности вы сталкивались?
Вакансия делает упор на интеграцию ИИ в бэкенд. Важно понять, как кандидат проектирует такие системы.
Как бы вы спроектировали архитектуру для интеграции агентских ворклоу (agentic workflows) в существующий микросервисный бэкенд?
В описании указано владение SQL и NoSQL. Вопрос проверяет навык выбора правильного инструмента под задачу.
В каких случаях для хранения данных ИИ-платформы вы выберете PostgreSQL, а в каких — NoSQL решение вроде Elasticsearch или Redis? Приведите примеры оптимизации запросов.
Проверка навыков проектирования отказоустойчивых систем.
Как вы обеспечиваете высокую доступность и наблюдаемость (observability) для сервисов, которые зависят от внешних API (например, OpenAI или Anthropic)?
Оценка способности кандидата обосновывать свои решения, что требуется в описании вакансии.
Опишите случай, когда вам пришлось защищать архитектурное решение перед командой. Какие компромиссы (trade-offs) вы рассматривали?
Похожие вакансии
MLOps Engineer (Python)
AI Engineer (CV & Navigation)
Senior / Lead LLM Engineer
Python AI разработчик
Разработчик AI-агентов
Middle, Middle+, Senior GenAI/LLM Разработчик
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 130 000 $ – 175 000 $