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Software Engineer II – AI/ML

DigitalOcean · Bengaluru

New
Hybrid Junior 🇬🇧 English
Python Go TypeScript Java Git Containers Kubernetes Vector stores Evaluation tooling

Job description

About the role

Dive in and do the best work of your career at DigitalOcean. Join a strong community of top talent building the simplest scalable cloud, and help create agents, copilots, and an internal AI platform that transform how the company operates.

Key responsibilities

  • 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 evaluations that verify agent behavior before and after shipping.
  • Integrate tools and data sources into agentic workflows using open standards such as the Model Context Protocol.
  • Contribute to the internal AI platform, including agent runtimes, model access, evaluation harnesses, and developer tooling.
  • Apply modern AI engineering practices—prompting, retrieval‑augmented generation, tool use, evaluation‑first development, and observability for nondeterministic outputs.
  • Partner with teammates and business stakeholders to translate requirements into working software, participate in code reviews, design discussions, and on‑call duties.

Required profile

  • Roughly 1–3 years of software engineering experience or a strong new graduate with relevant internships or projects.
  • Solid fundamentals in at least one production language (Python, Go, TypeScript, or Java) and willingness to work across the stack.
  • Hands‑on exposure to LLMs, prompting, retrieval, agents, and tool use through coursework, internships, or personal projects.
  • Growth mindset: asks good questions, learns fast, and moves without waiting for perfect information.
  • Clear communication skills for explaining work to engineers and non‑technical stakeholders across time zones.

Required skills

  • Python
  • Go
  • TypeScript
  • Java
  • Large Language Models (LLMs)
  • Prompt engineering
  • Retrieval‑augmented generation
  • Agentic workflow tooling
  • Git, CI/CD pipelines
  • Containers and Kubernetes
  • Vector stores and retrieval pipelines
  • Evaluation tooling

Questions fréquentes

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Source : ats:greenhouse

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Published 13 hours ago

Expires 1 month from now

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DigitalOcean

Bengaluru