Engineering Intern (Summer 2027)

Decagon

San Francisco, Northern (CA, KY)

Hybrid

USD 34,000 - 52,000

Part time

14 days+
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Benefits offered by this job

Daily lunches
Lifestyle stipend

Job summary

Decagon is offering a 12-week Engineering Internship based in our San Francisco office, running June 1 – August 20, 2027. Ideal candidates are graduating between December 2027 and July 2028 with a CS-related degree and prior software engineering internships.

You will contribute to production-ready initiatives and gain hands-on experience in a fast-paced AI-focused environment. You should bring strong coding skills, a passion for AI coding agents, and the ability to learn quickly to thrive within

Qualifications

  • You will graduate by summer 2028 with a degree in Computer Science or a related technical field.
  • You have experience from previous software engineering internships.
  • You write amazing code, fast.
  • Experience using AI coding agents as part of development.
  • You are excited to thrive in a fast-paced environment, continuously learn, and sharpen your skills.

Responsibilities

  • Collaborate with engineering teams on production-ready initiatives addressing real team needs.
  • Gain hands-on experience on meaningful, high-visibility work.
  • Contribute to development of Decagon's AI agent platform and related tooling.

Skills

Strong coding skills
AI coding experience
Fast learner

Education

Bachelor's degree in Computer Science or related field

Job description

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world‑class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in‑office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Role

As an intern on Decagon’s Engineering team, you’ll be part of a pioneering group shaping the future of intelligent agents. You’ll contribute directly to production‑ready initiatives that address real team needs, gaining hands‑on experience and leaving your mark on meaningful, high‑visibility work.

This is a 12‑week internship running June 1 – August 20, 2027, based out of our San Francisco office.

This role is designed for candidates graduating between December 2027 and July 2028.

Your background looks something like this
  • You will graduate by summer 2028 with a degree in Computer Science or a related technical field
  • You have experience from previous software engineering internships
  • You write amazing code, fast
  • Experience using AI coding agents as part of development
  • You are excited to thrive in a fast‑paced environment, continuously learn, and sharpen your skills
Even better
  • Prior experience working with multi‑modal models
  • Experience with distributed systems, data pipelines, or production infrastructure
  • 0→1 product‑building experience
More about the teams hiring Summer 2027 Engineering Interns
Agent Engineering

The Agent Engineering team at Decagon deploys mission‑critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry‑leading AI agent platform, collaborate directly with customers and use your own creativity to devise long‑term, scalable solutions.

Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.

Agent Orchestration

The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon’s agents in production. This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low‑latency, and delightful experience for end users.

Enterprise Product

The Enterprise Product team creates the platform that customers use to build, maintain, and improve their AI agents. We transform complex engineering work into intuitive self‑serve products, making sophisticated AI capabilities accessible to both technical and non‑technical Customer Experience teams. This team is core to Decagon’s ability to scale: the tools you build directly support agents for all our customers, each with unique workflows, data, and requirements.

Infrastructure

The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.

Read more about the infra team's work here.

Note: The benefits listed below apply to full‑time employees. Interns are eligible for daily lunches and snacks in the office, and the monthly lifestyle stipend.

Benefits

We proudly offer the following benefits for our full‑time employees:

  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building benefits through Carrot
  • Monthly stipend to support your wellness, lifestyle, and work‑life balance
  • Daily lunches and snacks in the office to keep you at your best
  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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