Before you apply
Listed location: San Francisco
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Decagon; category and skill labels may be inferred. How our listings work · Report a problem
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 a Member of Technical Staff, you'll join one of four engineering teams building the systems behind Decagon's AI agents: Agent Engineering, Agent Orchestration, Enterprise Product, or Infrastructure.
Engineers here own their work end to end and are trusted to make a real impact from the start. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
This role is designed for candidates graduating between December 2026 and July 2027. New Grad roles will be based in San Francisco or New York.
Your background looks something like this
Pursuing or completing a B.S. (or higher) in Computer Science or a related technical field, graduating between December 2026 and July 2027
Proficiency with Python, TypeScript, and asynchronous programming
Track record of building and shipping high-quality products and features through coursework, internships, or personal projects
Comfort digging into system failures across deep technology stacks using whatever tool the problem calls for
Experience using AI coding agents as part of development
Excitement to thrive in a fast-paced environment, continuously learn, and sharpen your skills
Even better
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 New Grads
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:
https://decagon.ai/blog/what-an-air-gapped-ai-deployment-actually-requires
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.
Skills mentioned
Categories
Frequently asked questions
Is the Member of Technical Staff - New Grad (2027 Start) position at Decagon remote?
The Member of Technical Staff - New Grad (2027 Start) role at Decagon does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Member of Technical Staff - New Grad (2027 Start) role?
Decagon is hiring for a full-time Member of Technical Staff - New Grad (2027 Start) position.
Which skills are mentioned for the Member of Technical Staff - New Grad (2027 Start) job at Decagon?
Detected skill labels include Python, TypeScript, Distributed Systems. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Member of Technical Staff - New Grad (2027 Start) position at Decagon?
You can apply for the Member of Technical Staff - New Grad (2027 Start) role directly through Decagon's official application link provided on this page.
Similar AI jobs
M&A Lead, Corporate Development
Replit · fulltime
Agent UX Designer
Decagon · fulltime
Senior Applied Scientist, Efficient LLM Inference & Model Optimization
Nebius · fulltime
Product Lead, Inference - USA
Inworld AI · fulltime
Senior System Software Engineer, Speech AI
NVIDIA · fulltime
Staff Software Engineer, Platform Security
Decagon · fulltime