AI Acceleration Engineer at Decagon | CA, US | Rezi

AI Acceleration Engineer at Decagon

AI Acceleration Engineer

Decagon · CA, US

3 weeks ago

AI Acceleration Engineer

Decagon · CA, US

22 days ago
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About the Role

Decagon is seeking an AI Acceleration Engineer to build the systems the company runs on and integrate AI into daily team operations. This hands-on technical role involves extending the existing platform, automating manual processes like billing and collections, and replacing spreadsheet-based workflows with reliable systems. The engineer will also introduce AI capabilities across the company, providing the necessary tools and agents for teams to automate their own work. The role emphasizes ownership, rapid adoption of new technologies, and solving business problems through engineering.

Responsibilities

  • Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance.
  • Build and maintain web applications and integrations for internal teams, including existing systems and new tools.
  • Collaborate with stakeholders across Finance, Accounting, Legal, People, and Recruiting to identify automation opportunities and determine the best approach (custom build, AI vendor, or hybrid).
  • Take on major workstreams such as billing, revenue recognition, usage data ingestion, and reconciliation.
  • Build interfaces for AI system interaction, including MCP servers, skills, and agent-facing tooling.
  • Enable power users to handle simpler automations independently.
  • Measure and communicate the impact of initiatives, including time saved, costs reduced, and errors eliminated.

Requirements

  • 6+ years of hands-on experience building internal tools, systems, and automations for business teams.
  • Proven experience owning projects across the full lifecycle, from requirements gathering through deployment and maintenance.
  • Technical ability to build production-quality internal tools, with a focus on solving business problems.
  • Strong generalist skills applicable to diverse areas like billing and recruiting workflows.
  • Sound instincts for system architecture, data flow, potential failure points, and maintainability.
  • Ability to discern when an agentic/AI approach is appropriate versus a deterministic pipeline.
  • Hands-on experience with AI-native coding tools (e.g., Claude Code, Codex, Cursor) for production solutions.
  • Coding experience preferred in Python, TypeScript, or JavaScript, including API integration and deployment.
  • Ability to build trust with cross-functional teams (Finance, Accounting, Legal, People) and independently drive complex projects under ambiguity.

Skills

  • Python
  • TypeScript
  • JavaScript
  • API integration
  • AI-native coding tools
  • GCP
  • Cloud Run
  • BigQuery
  • Cloud Functions
  • Pub/Sub

Location

  • In-office

Work Type

  • Full-time

Experience Level

  • 6+ years

Salary/Compensations

  • $180K - $220K + Equity

Benefits

  • 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 for wellness, lifestyle, and work-life balance
  • Daily lunches and snacks in the office
  • Take what you need vacation policy

About the Company

  • Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
  • Our technology enables enterprises to deploy AI agents that power personalized interactions across multiple channels.
  • We are building a future where customer experiences are redefined, moving beyond support tickets to faster resolutions and deeper relationships.
  • We are backed by prominent investors including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.
  • We are an in-office company driven by a shared commitment to excellence and velocity.
  • Our values include Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle.