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Key skills for this role
Implement well-scoped features and components for agents, copilots, and platform services, with guidance from senior engineers and our architect.
Write clean, tested code, and build the evaluations that show an agent behaves the way it should—before and after it ships.
Integrate tools and data sources into agentic workflows, using open standards such as the Model Context Protocol.
Contribute to the internal AI platform: agent runtimes, model access, evaluation harnesses, and developer tooling.
Learn and apply modern AI engineering practice—prompting, retrieval-augmented generation, tool use, evaluation-first development, and observability for systems whose output is not deterministic.
Partner with teammates and business stakeholders to turn requirements into working software, and take part in code reviews, design discussions, and on-call as you ramp.
You deliver well-scoped work on time and to a high quality bar, needing less guidance as you go.
What you build gets adopted by internal teams and holds up in production.
You show growing fluency in agentic systems, evaluation, and our platform tooling—and start spotting problems before they are assigned to you.
Engineering Foundation: Roughly 1–3 years of software engineering experience, or a strong new graduate with internships or substantial project work in software and applied AI/ML.
Language Fundamentals: Solid fundamentals in at least one production language (Python, Go, TypeScript, or Java), and willingness to work across our stack rather than in one corner of it.
Real AI Curiosity: Exposure to LLMs, prompting, retrieval, agents, and tool use—through coursework, internships, or things you built yourself. We care that you have actually made something work.
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*This job is located in Bengaluru, India
JR: 2026-7954
#LI-Hybrid
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.
The AI-Native Cloud purpose-built for inference and agentic workloads.
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Entry · 1+ years experience
Hybrid
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