Senior Software Engineer, AI Developer Experience

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 Team

The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and realtime voice. We partner closely with product, data, and ML to deliver highscale, lowlatency systems with clear SLOs and great developer ergonomics.

About the Role

We're looking for a Senior Software Engineer to own our AI-native developer platform. Your job is to 10x developer productivity . You'll build the coding agents and execution infrastructure, give them safe access to code, tools, and tests, and turn what works into paved roads the whole engineering org builds on.

What you'll do

• Build the agentic developer platform
  
  • Build coding agents, harnesses, and cloud execution infrastructure.
  • Give agents safe access to code, tools, tests, and internal systems.
  • Create reusable primitives for autonomous software development.
• Embed AI across the development lifecycle
  
  • Apply AI to planning, design, implementation, testing, and review.
  • Turn successful experiments into repeatable engineering workflows.
  • Build paved roads for agent-driven development across teams.
• Accelerate code review with agents
  
  • Improve validation of human- and agent-generated changes.
  • Build agent-based testing, evaluation, and review systems.
  • Push correctness checks earlier in the development loop.
• Make developer tooling agent-native
  
  • Design CI/CD, local development, and platform tooling for humans and agents.
  • Build APIs, CLIs, templates, and automation that agents can operate directly.
  • Remove friction from build, test, and release workflows.
• Enable rapid internal tool building
  
  • Build frameworks and platforms for quickly creating internal tools, dashboards, and agents.
  • Give teams reusable primitives to build solutions for their own workflows.
  • Turn one-off internal tooling into scalable, shared capabilities.
• Drive AI-powered developer productivity
  
  • Identify high-leverage engineering workflows to automate or augment with AI.
  • Own architecture, rollout, and adoption across engineering.
  • Measure success through faster iteration and greater engineer leverage.

Your background looks something like this

• 4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).
• Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS ), and comfort building developer-facing tooling (CLIs, libraries, automation).
• Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.
• Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).
• Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).
• A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).
• Strong cross-team collaboration and communication-especially writing clear docs and driving adoption.

Even better if you have

• Experience with monorepos and build systems and/or large-scale CI performance work.
• Experience building internal platforms : service templates, paved-road deployment, self-serve environments, developer portals.
• Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).
• Experience applying AI-assisted tooling to make engineers dramatically more effective.

Compensation

$200K - $400K + Offers Equity

This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.


In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.

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.