Engineer II

Posted Yesterday
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Karachi, Sindh, PAK
In-Office
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Build and improve AI-powered features for DigitalOcean’s managed hosting platform. Responsibilities include developing agentic AI workflows, integrating MCP with Cloudways services, enhancing automation and anomaly detection, writing production Python and PHP, integrating databases and APIs, applying prompt engineering, RAG, and function calling, and collaborating with product, infrastructure, and engineering teams. This is an onsite role requiring independent ownership of end-to-end AI solutions.
Summary Generated by Built In

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. 

As an IC2 - AI Engineer at DigitalOcean, you will join our dynamic AI team within Cloudways, dedicated to integrating cutting-edge AI capabilities into our managed hosting platform. You will report to the AI Engineering Manager and work cross-functionally with platform engineers, product managers, and infrastructure teams. In this role, you'll own the design and implementation of AI-powered features that simplify complex cloud operations, drive automation, and enhance developer experience. The ideal person will be a self-motivated engineer with 3-5 years of experience, capable of working independently on end-to-end AI solutions.

What You'll Do:
  • Agentic AI development - Build agents that automate workflows
  • MCP integration - Connect AI agents to existing Cloudways services
  • Existing Agent improvements - AI-driven automation, anomaly detection and improvement
  • Python & PHP - Write production code in both languages
  • Service integration - Work with databases, APIs, and backend systems
  • Basic AI concepts - Prompt engineering, RAG, function calling
  • Cross-team collaboration - Work with product, infra, and other dev teams
Why You'll Love Working at DigitalOcean

DigitalOcean is committed to fostering a culture where innovation thrives and developers can focus on building. By joining our AI team within Cloudways, you'll have the opportunity to:

  • Impact millions of developers worldwide by building intelligent features that simplify cloud computing
  • Work with cutting-edge AI and machine learning technologies in a mission-driven environment
  • Grow your technical skills alongside a talented team that values boldness, ownership, and continuous learning
  • Contribute to meaningful product decisions and shape the future of cloud-based application management
  • Be part of a diverse, inclusive team that celebrates creativity and diverse perspectives

*This is an Onsite role

JR: 2026-8211

#LI-Onsite

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Skills Required

  • 3–5 years of engineering experience
  • Production experience with Python and PHP
  • Ability to independently develop end-to-end AI solutions
  • Understanding of prompt engineering, RAG, and function calling
  • Experience integrating databases, APIs, and backend services

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental-health insurance. Feedback suggests this area stands out as a core strength of the package.
  • Equity Value & Accessibility — Equity participation is emphasized through performance grants and an Employee Stock Purchase Plan. Feedback suggests these programs add meaningful value alongside base pay.
  • Leave & Time Off Breadth — Time off is positioned as flexible or unlimited, with above-average parental leave highlighted across sources. Feedback suggests this flexibility supports work-life balance.

DigitalOcean Insights

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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DigitalOcean Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

Typical time on-site: Not Specified
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HQBroomfield, CO
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Seattle, WA
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Hyderabad, Telangana
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