- Страна
- США
- Зарплата
- 151 500 $ – 215 500 $
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Lead AI Engineer
Высокая оценка обусловлена престижем компании Upwork, конкурентной заработной платой, отличным пакетом льгот (ESPP, неограниченный PTO) и возможностью работать над передовыми ИИ-технологиями в удаленном формате.
Сложность вакансии
Роль требует глубоких знаний как в Data Engineering (Snowflake, Python), так и в современных ИИ-технологиях (агентные фреймворки, оценка LLM). Позиция уровня Lead подразумевает высокую ответственность за архитектурные решения и кросс-функциональное взаимодействие.
Анализ зарплаты
Предлагаемый диапазон ($151k - $215k) полностью соответствует рыночным стандартам для позиций Lead AI Engineer в США, особенно с учетом дополнительных бонусов и акций (equity).
Сопроводительное письмо
I am writing to express my strong interest in the Lead AI Engineer position at Upwork. With a robust background in data engineering and extensive experience deploying production-grade AI systems, I am excited about the opportunity to bridge deep data expertise with emerging agentic frameworks within your Data Platform & Services team. My experience in building scalable Python and SQL pipelines, combined with a focus on LLM evaluation and natural language querying, aligns perfectly with Upwork's mission to democratize data access.
Throughout my career, I have specialized in designing orchestration frameworks that coordinate multiple AI agents to solve complex business problems. I am particularly drawn to Upwork's remote-first culture and its commitment to creating economic opportunities through innovation. I am confident that my technical leadership and growth mindset will contribute significantly to enhancing Upwork's AI-powered insights and reporting capabilities.
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Описание вакансии
Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.
Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace atUpwork.com and follow us onLinkedIn,Facebook,Instagram,TikTok, andX; and learn more about Lifted atGo-Lifted and follow onLinkedIn.
As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will bridge deep data engineering expertise with emerging AI capabilities to build production-grade AI-powered systems. You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts and stakeholders throughout the company.
Responsibilities:
- Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
- Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
- Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
- Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
- Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
- Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.
What it takes to catch our eye:
- Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
- Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
- Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
- A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
- Growth mindset—excited to learn, iterate, and deliver measurable business outcomes through applied AI.
**Come change how the world works.**
At Upwork, you’ll shape the future of work for a global, remote-first workforce, creating economic opportunities for professionals worldwide. While we have a physical office in Palo Alto, we currently hire full-time employees in 21 U.S. states, making it easier than ever to join our mission from wherever you call home.
Our culture is built on trust, risk-taking, customer focus, and excellence, all in service of our core mission: to create economic opportunities so people have better lives. We embrace authenticity and inclusion, encouraging everyone to bring their whole selves to work. Personal and professional growth is a priority here, supported through development programs, mentorship, and our Upwork Belonging Communities.
We’re proud to offer benefits that go beyond the basics, including comprehensive medical coverage for you and your family, unlimited PTO, a 401(k) plan with matching, 12 weeks of paid parental leave, and an Employee Stock Purchase Plan. Visit our Life at Upwork page to learn more about our values, working principles, and the overall employee experience.
Ready to help shape the future of work? Check out our Careers page and follow us on LinkedIn, Facebook, Instagram, TikTok, and X to learn more about life at Upwork.
The annual base salary range for this position is displayed below. The range displayed reflects the minimum and maximum salary for this position, and individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.
Annual Base Compensation
$151,500—$215,500 USD
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
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Навыки
- Python
- SQL
- Snowflake
- LLM
- Prompt Engineering
- AI Agents
- Data Engineering
- Natural Language Querying
- Machine Learning
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных ИИ-систем, указанных в описании вакансии.
Расскажите о вашем опыте проектирования и масштабирования агентных фреймворков (agentic frameworks) в продакшене.
Вакансия требует интеграции ИИ с существующими пайплайнами данных.
Как вы обеспечиваете точность и безопасность при реализации Natural Language Query (NLQ) систем поверх корпоративных данных в Snowflake?
В описании подчеркивается важность оценки моделей.
Какие метрики и методологии вы используете для оценки качества ответов LLM и эффективности промпт-инжиниринга?
Роль Lead требует умения работать с данными на профессиональном уровне.
Опишите ваш подход к интеграции ИИ-оркестрации с традиционными ETL/ELT процессами на Python и SQL.
Проверка лидерских качеств и умения работать с бизнесом.
Как вы расставляете приоритеты между внедрением инновационных ИИ-фич и обеспечением стабильности и масштабируемости платформы данных?
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- Страна
- США
- Зарплата
- 151 500 $ – 215 500 $