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About the Role
You will design and build systems that enable customers to confidently configure, train, test, and monitor sophisticated AI agents. This involves robust engineering and user-friendly abstractions that accommodate diverse use cases without customer-specific modifications. You will collaborate daily with product and design teams, participating in discovery, defining requirements, reviewing designs, and iterating through launch. Maintaining close customer contact is essential to deeply understand their use cases and ensure the developed solutions meet their needs. Engineers in this role own features end-to-end, from technical architecture through deployment and subsequent iteration.
Responsibilities
- 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
Requirements
- 4+ 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
Skills
- LLMs
- prompt engineering
- evals
- AI agent systems
- developer tools
- APIs
- platforms
- internal tools
- observability
- data visualization
- analytics products
- security-sensitive product systems
- authentication
- data access controls
- multi-modal models
- voice models
Location
- in-office
Work Type
- full-time
Experience Level
- 4+ years
Salary/Compensations
- $200K – $400K + Offers 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 to support your 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 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.