AI工程师
AI Engineer
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、人工智能、技术和人才的力量，与客户共同创造有意义的影响。我们的使命是激发大胆的愿景，通过无缝结合人类专业知识与人工智能，解决重大的挑战。公司通过汇聚世界级的人才和数据驱动的战略，为客户解锁价值并推动创新。我们相信，人与 AI 的力量可以对你的世界产生深远影响，为我们的员工和客户创造更有意义的工作和项目。更多信息请访问 www.blend360.com
我们正在寻找一名高级 AI 工程师，以助力我们的下一轮增长和扩展。
这个职位是做什么的？
我们正在寻找具备强大系统思维能力的工程师，帮助构建和扩展 AI 驱动的平台和应用。
该职位面向那些在模糊环境中表现出色、能够快速适应变化的优先事项，并且习惯于在多种技术栈中工作的工程师。理想的候选人应具备扎实的软件工程基础，并有实际构建生产就绪系统和 AI 驱动解决方案的经验。
团队主要使用 Python、AI/LLM 技术和现代云原生架构。拥有 React、AWS 和 Snowflake 经验者优先，但不是硬性要求，因为适应能力和学习敏捷性被认为比单一技术的专长更重要。
- 设计、开发和部署可扩展的 AI 驱动应用和服务。
- 将模糊的业务问题转化为稳健的技术解决方案。
- 构建和维护后端系统、API、集成和 AI 流程。
- 与前端、后端、云和 AI 项目协作，交付端到端解决方案。
- 快速构建和迭代 AI 驱动的产品和内部加速工具。
- 参与架构决策、工程标准和可复用系统模式的制定。
- 指导初级工程师，并支持团队中的技术成长。
- 推动可扩展性、可靠性、性能和开发者体验的改进。
- 与利益相关者紧密合作，平衡业务需求、技术权衡和交付时间表。
- 持续评估并采用新兴的 AI 工具、框架和工程实践。
- 具有 Python 和后端工程的丰富工作经验。
- 有设计经验
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Senior AI Engineer to contribute to our next level of growth and expansion.
What is this position about?
We are seeking highly adaptable engineers with strong system-thinking capabilities to help build and scale AI-powered platforms and applications.
This role is focused on engineers who thrive in ambiguity, can quickly adapt to changing priorities, and are comfortable working across multiple technologies and layers of the stack. The ideal candidate combines strong software engineering fundamentals with hands-on experience building production-ready systems and AI-enabled solutions.
The team primarily works with Python, AI/LLM technologies, and modern cloud-native architectures. Experience with React, AWS, and Snowflake is highly valued but not strictly required, as adaptability and learning agility are considered more important than expertise in a single technology.
- Design, develop, and deploy scalable AI-powered applications and services.
- Translate ambiguous business problems into robust technical solutions.
- Build and maintain backend systems, APIs, integrations, and AI workflows.
- Collaborate across frontend, backend, cloud, and AI initiatives to deliver end-to-end solutions.
- Rapidly prototype and iterate on AI-driven products and internal accelerators.
- Contribute to architecture decisions, engineering standards, and reusable system patterns.
- Mentor junior engineers and support technical growth across the team.
- Drive improvements in scalability, reliability, performance, and developer experience.
- Work closely with stakeholders to balance business needs, technical trade-offs, and delivery timelines.
- Continuously evaluate and adopt emerging AI tools, frameworks, and engineering practices.
- Strong professional experience with Python and backend engineering.
- Experience designing and building scalable APIs and distributed systems.
- Hands-on experience building AI/LLM-powered applications or automation workflows.
- Experience working with cloud platforms such as AWS.
- Frontend experience with React or similar technologies is a plus.
- Exposure to Snowflake or modern data platforms is a plus.
- Strong understanding of software architecture, system design, and engineering best practices.
- Ability to navigate ambiguity and adapt quickly to changing environments.
- Strong communication and collaboration skills.
- Experience mentoring engineers or leading technical initiatives is valued.
- AI-first mindset with interest in leveraging AI tools to accelerate development workflows.
- What about languages?
- Advanced English level is required for daily communication with global teams and stakeholders.
- How much experience must I have?
- 3+ years of professional software engineering experience.
- Previous experience building production-ready systems and collaborating in cross-functional engineering environments.
Our perks and benefits:
🍔 Every day lunches! (headquarters):
· Vegetarian, vegan, gluten and sugar free options.
· Gourmet meals every Friday with our on-site chef!
⚖️ Flexible working options to help you strike the right balance.
👨🏽💻 All the equipment you need to harness your talent (Macbook and accessories).
☕ Snacks and beverages available everyday (headquarters).
🎮 After office events, football, tennis and game nights (headquarters).
⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s.
Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches.
Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
📚 Learning opportunities:
· AWS Certifications (we are AWS Partners).
· Study plans, courses and other certifications.
· English Lessons.
· Learn from your teammates on our Tech Tuesdays!
👩🏫 Mentoring and Development opportunities to shape your career path.
🎁 Anniversary and birthday gifts.
🏡 Great location and even greater teammates!
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!