368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$175k – $230k per year
Location
In office (New York)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Decagon is an enterprise AI company that builds autonomous customer service agents. Founded by Jesse Zhang and Ashwin Sreenivas and headquartered in San Francisco, California, the platform leverages large language models (LLMs) and advanced AI orchestration to automate complex customer support workflows end-to-end.

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

Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance.

We’re creating an Agent Deployment Engineering Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents-writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution.

About the Role

As an Agent Deployment Engineer, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents-partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business.

You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.

In this role, you will

  • Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.

  • Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.

  • Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.

  • Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.

  • Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.

  • Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.

  • Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift.

  • Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.

  • Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.

Your background looks something like this

  • Have 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).

  • Native or business-level fluency in both written and spoken English and Spanish is required.

  • Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.

    Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.

  • Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.

  • Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.

Even better if you have

  • Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).

  • Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.

  • A Computer Science, Engineering, or Math degree, or equivalent technical experience.

  • Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.

Compensation

$175K - $230K

  • Offers Equity

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,634 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
New York
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$22k – $57k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Hyderabad
Python
TypeScript
JavaScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
Claude
Claude Code
LLM
Model Context Protocol
Frontend
Angular
Next.js
React.js
DevOps
AWS
AWS Lambda
CI/CD
Docker
GitHub Actions
Terraform
Amazon ECS
Amazon S3
GitHub
IAM
Apply
$125k – $150k per year • In office • Full-Time • 3+ years exp • New York
SQL
Python
AI/ML
AI Agents
DevOps
AWS
Azure
Grafana
Kubernetes
Apply
$115k – $263k per year (Estimated) • In office • Full-Time • 6+ years exp • Munich
AI/ML
AI Agents
Apply
$180k – $225k per year • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
AI Agents
LLM
Design
Webflow
Marketing
Salesforce
Apply
$212k – $265k per year • In office • Full-Time • 6+ years exp • San Francisco
AI/ML
AI Agents
Claude
Claude Code
Cursor
Design
Figma
Apply
$200k – $400k per year • In office • Full-Time • 5+ years exp • San Francisco • New York
Databases
Amazon Redshift
Apache Kafka
ClickHouse
Databricks
Google BigQuery
RabbitMQ
Snowflake
AI/ML
AI Agents
Dagster
dbt
Flink
LLM
Prefect
DevOps
Amazon EKS
AWS
Azure
Azure AKS
CI/CD
Datadog
GCP
GitOps
Google GKE
Grafana
Kubernetes
OpenTelemetry
Prometheus
Terraform
Apply
Agent Data Scientist 11 days ago
$165k – $215k per year • In office • Full-Time • 5+ years exp • San Francisco
Python
SQL
AI/ML
AI Agents
LLM
Apply
$160k – $200k per year • In office • Full-Time • 6+ years exp • New York
AI/ML
AI Agents
Apply
$155k per year • In office • Full-Time • New York
Apply
$220k – $350k per year • Remote/Hybrid • Full-Time • 15+ years exp • New York • Princeton
AI/ML
AI Agents
LLM Guardrails
Model Context Protocol
DevOps
Azure
Azure DevOps
CI/CD
GitHub
Platform Engineering
Design
Figma
Management
Jira
QA
Playwright
Apply
$160k – $283k per year • Equity • In office • 5+ years exp • New York
AI/ML
AI Agents
Apply
$80k – $115k per year • In office • Full-Time • PhD • New York
Apply
$60k – $116k per year (Estimated) • Remote/Hybrid • Bachelor's Degree • New York
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.