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AI Systems Engineer (Full-stack)

About the Role
CloudZero is at the forefront of revolutionizing how cloud-driven companies manage and optimize their cloud spend. We empower organizations to make smarter decisions that drive growth and efficiency by bridging the gap between cloud costs and business outcomes. Now, we’re looking for a skilled Full-stack AI Systems Engineer to take ownership of our AI orchestration and agent infrastructure, and to lead future development of intelligent capabilities across both customer-facing products and internal tools. This is a unique opportunity to shape the backbone of AI systems at CloudZero and bring agentic intelligence into the core of FinOps.

Why This Role Matters:

  • Own the Foundation: Take the ownership of our AI orchestration and agent systems—then evolve and scale them to meet the needs of our growing platform.

  • Build Smart Systems: Architect and implement end-to-end agentic workflows and fullstack AI features that drive automation, insights, and efficiency across the product.

  • Bridge Worlds: Act as the connective tissue between AI, engineering, and product—bringing intelligent systems to life that solve real-world business challenges.

  • Drive the Future: Your work will define how AI is experienced by our customers and internal teams, making a direct impact on usability, efficiency, and innovation.

What You’ll Do

  • AI System Ownership: Take over and expand the current AI agent and orchestration infrastructure, including control layers, integrations, and execution engines.

  • Engineering Partnership: Collaborate closely with our existing dev team to ensure knowledge transfer, system stability, and continuous evolution of AI-powered components.

  • End-to-End Development: Design and build fullstack features—from backend orchestration to frontend interfaces—that leverage generative AI, agents, and automation.

  • Agentic Workflows: Develop multi-agent systems, RAG pipelines, and task planning/execution loops using tools and frameworks from AWS, Anthropic, and others.

  • Collaboration: Work cross-functionally with product, design, and platform engineering teams to embed AI naturally into the user experience.

  • Innovation: Stay at the forefront of AI advancements—especially around LLMs, orchestration platforms, and autonomous agents—and bring those into CloudZero’s ecosystem.

Requirements

We’re looking for someone who’s comfortable owning and evolving complex AI systems—and is excited about building smart, end-to-end functionality. The ideal candidate will have:

  • AI Systems Experience: Hands-on experience building and maintaining AI agents, orchestration layers, or task-based execution frameworks.

  • Fullstack Chops: Strong proficiency in backend development (Python) with the ability to work on frontend interfaces (e.g., React, Vite, Astro) when needed.

  • Cloud-First Thinking: Experience working in cloud-native environments (AWS preferred) and integrating services like Bedrock, Lambda, S3, or similar.

  • Generative AI Knowledge: Familiarity with LLMs, embeddings, vector databases (e.g., Pinecone, Elasticsearch), and retrieval-augmented generation.

  • Strong Collaborator: Comfortable working with distributed teams (outsourced or in-house) and partnering across disciplines.

  • Autonomy & Leadership: Ability to take initiative, drive clarity in ambiguous contexts, and make strategic decisions about architecture and roadmap.

  • Dev Tools & Pipelines: Experience with common dev tooling and build pipelines (e.g., Docker, GitHub Actions, CI/CD) and observability stacks.

Nice to Haves

  • Experience with agent frameworks (e.g., AWS Bedrock Agents, LangChain, CrewAI, etc.)

  • Background in DevTools, platform engineering, or developer experience

  • Experience with internal tooling, prompt engineering, or custom orchestration UIs

  • Exposure to FinOps or cloud cost tooling (but not required)


About CloudZero:
Cloud cost management is one of the biggest challenges organizations face today. As cloud adoption continues to accelerate, so do the complexities and costs associated with it - and macroeconomic conditions only increase pressure to prove cloud efficiency. That’s why we built CloudZero: a SaaS platform at the intersection of next-generation cloud cost management and FinOps. CloudZero ingests billing and usage data from all cloud, SaaS, and PaaS providers, organizes it in real time according to our customers’ business structures, lets customers view it at any level of time or resource granularity, and ultimately empowers them to make more informed business decisions.

Since our founding in 2016, our mission has been to make efficient innovation a reality for every cloud-driven organization. At CloudZero, we believe every engineering decision is a buying decision, yet the cost conversation often bypasses the engineers who drive those determinations. To solve this, we’ve built a dynamic, single-page application that answers the complex, data-heavy questions every cloud-based organization needs to ask if they want to grow their company profitably.

To date, we’ve raised over $52 million from leading venture capital firms across the country. We’re solving problems of massive scale, business importance, and complexity in a space that needs it more than ever. We’re growing rapidly and would love for you to be a part of it.

Equal Opportunity Employer
CloudZero is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background and reference checks.

Applicants must be authorized to work for any employer in the United States. We cannot sponsor or take over the sponsorship of an Employment Visa at this time

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What You Should Know About AI Systems Engineer (Full-stack) , CloudZero

CloudZero is looking for a talented Full-stack AI Systems Engineer to join our innovative team in Boston. In this exciting role, you’ll take ownership of our AI orchestration and agent infrastructure, pioneering the development of intelligent capabilities that bridge the gap between cloud costs and real-world business outcomes. You'll be responsible for architecting and implementing end-to-end workflows to enhance automation, insights, and efficiency across our products. Picture this: you’ll collaborate with engineers and product teams to ensure that AI features are integrated seamlessly into the user experience. Your expertise in both backend development, particularly with Python, and frontend technologies like React will allow you to craft robust full-stack solutions that leverage the latest in generative AI. You will also stay ahead of advancements in the AI field, bringing innovative ideas from LLMs and orchestration platforms into the CloudZero ecosystem. As a key player in our mission to enable companies to optimize their cloud spend effectively, you will have the opportunity to shape the future of FinOps, making a real difference in how our customers utilize cloud resources. With a fast-paced and collaborative environment, your contributions will directly influence usability and drive our vision of efficient innovation. If you’re excited about tackling complex challenges and creating smart systems, we’d love to hear from you!

Frequently Asked Questions (FAQs) for AI Systems Engineer (Full-stack) Role at CloudZero
What are the primary responsibilities of an AI Systems Engineer at CloudZero?

As an AI Systems Engineer at CloudZero, you will own the AI orchestration and agent infrastructure, collaborate with engineering teams, and design full-stack capabilities that leverage AI and automation. Your role involves developing multi-agent systems and ensuring that intelligent workflows enhance the user experience.

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What qualifications are required for the Full-stack AI Systems Engineer position at CloudZero?

Candidates for the Full-stack AI Systems Engineer position at CloudZero should have extensive experience with AI systems and full-stack development. A strong foundation in backend programming (Python) and familiarity with frontend technologies like React are essential, along with experiences in cloud-native environments, especially AWS.

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What tools and frameworks should an AI Systems Engineer at CloudZero be familiar with?

An AI Systems Engineer at CloudZero should be well-versed in generative AI concepts, orchestration platforms, and tools like AWS services. Familiarity with agent frameworks, vector databases like Pinecone, and observability stacks will also be essential for success in this role.

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How does the AI Systems Engineer contribute to CloudZero's mission?

The AI Systems Engineer plays a crucial role in realizing CloudZero's mission by embedding AI into our products, improving cost-effectiveness for cloud-driven companies, and providing innovative solutions that support better business decisions and efficiency.

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What can I expect from the work environment at CloudZero as a Full-stack AI Systems Engineer?

At CloudZero, you can expect a dynamic and collaborative work environment where innovation thrives. You'll work closely with cross-functional teams and have the autonomy to drive your projects, making a significant impact while contributing to an inclusive and diverse company culture.

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Common Interview Questions for AI Systems Engineer (Full-stack)
What motivated you to apply for the Full-stack AI Systems Engineer role at CloudZero?

Express your interest in working at CloudZero, emphasizing how their mission aligns with your passion for cloud efficiency and innovative AI solutions.

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Can you describe your experience with AI orchestration and agent systems?

Share specific projects where you built or maintained AI orchestration and agent systems, highlighting your approach to problem-solving and the technologies you used.

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What programming languages are you most comfortable with for backend development?

Mention your extensive experience with Python, providing examples of projects or systems you have built, and show familiarity with integrating it with front-end technologies.

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How do you approach collaboration with distributed teams?

Discuss your communication and collaboration strategies, providing insights into tools you’ve used and experiences of working effectively in dispersed teams.

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Can you explain what generative AI is and how it can be leveraged in cloud management?

Offer a clear explanation of generative AI, discussing its applications in cloud management, such as enhancing insights and automating cost optimization processes.

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What steps would you take to ensure the stability of AI-powered components?

Discuss your approach to maintain system stability, including regular updates, monitoring, and agile development practices that allow for responsive adjustments.

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How would you stay updated with the latest advancements in AI technology?

Share your strategies for continuous learning, such as attending conferences, participating in relevant online courses, and following influential figures in AI.

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Describe a challenge you faced when developing an end-to-end AI solution and how you resolved it.

Provide a specific example of a challenge, explaining your thought process, the solution you implemented, and the overall impact on the project.

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How do you prioritize features when developing full-stack systems?

Explain your methodology for assessing priorities, relying on customer feedback, alignment with business goals, and the technical feasibility of features.

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Why do you think CloudZero is important for cloud-driven organizations?

Articulate your understanding of CloudZero's significance in optimizing cloud spending, emphasizing the challenges organizations face with cost management and how CloudZero addresses these issues.

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DATE POSTED
April 14, 2025

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