Software Engineer II, AI/ML
DigitalOcean4 hours ago
Bengaluru, IndiaMid Level
H1B Sponsor
Responsibilities
- Implement well-scoped features and components for agents, copilots, and internal platform services with guidance from senior engineers and an architect.
- Write clean, tested code and build evaluations to verify agent behavior before and after release.
- Integrate tools and data sources into agentic workflows using standards such as the Model Context Protocol.
- Contribute to agent runtimes, model access, evaluation harnesses, and developer tooling for the internal AI platform.
- Apply prompting, retrieval-augmented generation, tool use, evaluation-first development, and observability practices.
- Partner with teammates and business stakeholders, participate in code reviews and design discussions, and join on-call responsibilities as experience grows.
Requirements
- Roughly 1–3 years of software engineering experience, or strong new graduates with internships or substantial software and applied AI/ML project work.
- Solid fundamentals in at least one production language: Python, Go, TypeScript, or Java.
- Exposure to LLMs, prompting, retrieval, agents, and tool use through coursework, internships, or personal projects.
- Ability to learn quickly, ask effective questions, and work pragmatically with incomplete information.
- Clear communication and effective collaboration with engineers and non-engineering stakeholders across time zones.
- Preferred experience with Git, CI/CD, containers, Kubernetes, vector stores, retrieval pipelines, evaluation tooling, or an end-to-end LLM-powered project.
Benefits
- Hybrid role located in Bengaluru, India.
- Reimbursement for relevant conferences, training, and education.
- Access to LinkedIn Learning's 10,000+ courses.
- Employee Assistance Program, local employee meetups, and flexible time off.
- Eligible employees may receive equity compensation and participate in the Employee Stock Purchase Program.
Tech Stack
About DigitalOcean
DigitalOcean is the AI-Native Cloud purpose-built for the inference and agentic era. Its five-layer integrated platform—spanning GPU and CPU infrastructure, core cloud, inference, data, and managed agent orchestration—is open throughout with no vendor lock-in, giving builders everything they need to start fast, scale production AI workloads, and improve unit economics. More than 650,000 customers and millions of developers globally trust DigitalOcean to build, ship, and scale their applications.