Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS.
About the Role
You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer.
You’ll work day to day with product and design: joining discovery, defining requirements, reviewing designs, and iterating through launch. You’ll stay close enough to customers to understand their use cases in depth and to ensure what you’re building is actually right for them.
Engineers here own features end to end, from technical architecture through deployment and the iteration after it.
In this role, you will
Eliminate manual work by building self-serve functionality for agent configuration, training, and deployment
Design configuration abstractions that balance power and simplicity, handling diverse enterprise use cases while staying usable by non-technical teams
Build AI-powered tooling that lets CX and ops teams create and manage complex agent workflows without writing code
Build monitoring, tracing, and analytics that surface actionable signal, so customers can see where an agent is failing and why
Handle agentic systems at scale; your work will touch critical flows for Fortune 100 companies.
Run evaluations on new text and voice models, then integrate the ones that win into production traffic
Your background and skillset look something like this
7+ years building software products, with strong product thinking
Proficient in Python, comfortable working across the entire stack
Experience translating complex technical capabilities into simple, usable interfaces
Complex systems instincts, including asynchronous programming and the failure modes that only appear at scale
A high degree of comfort debugging system failures in deep technology stacks, using whatever tool gets you to the answer
A knack for turning customer asks into clear, well-scoped product and technical specs
Judgment about when to ship fast and when to slow down and build it correctly
Even better
Background with LLMs, prompt engineering, evals, or AI agent systems
Experience building developer tools, APIs, platforms, or internal tools that became customer-facing
Experience with observability, data visualization, or analytics products
Experience building security-sensitive product systems, such as authentication and data access controls
Work with multi-modal or voice models
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)
Decagon offers a competitive benefits package that varies by country and complements local statutory benefits. Details for this location will be provided during the recruitment process.
