Decagon currently has 42 active AI-related job listings. The majority of these roles, 88%, are focused on agents, with a smaller number in serving infrastructure and post-training. Engineering is the dominant function, with 32 positions, followed by product roles. The company is actively hiring in the United States and the United Kingdom. Recent hiring trends show a significant increase, with 16 new AI roles posted in the last 30 days, a 433% rise compared to the previous 30-day period.
Vertical AI · Customer support AI agents
Currently tracking 36 active AI roles, up 118% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$430k (avg $281k).
Decagon currently has 43 active AI-related roles in our index. The most common open titles are: Senior Agent Product Manager (4), Customer Engineer, Agent Builder - Spanish Speaking (3), Engineering Lead, Strategic Deals (2), Engineering Manager, Agents (2), Senior Research Engineer (2). Most positions are in Engineering and Product.
Decagon's active AI hiring is concentrated in: agents (88%), serving infrastructure (5%), post-training (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Decagon is hiring AI talent in: United States (33 roles), United Kingdom (6 roles), Germany (1 role), Canada (1 role).
Job postings at Decagon most frequently mention: Agentic Systems, Planning & Reasoning, System Design, Machine Learning, A/B Testing.
In the past 30 days, Decagon has posted 16 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Engineer Research Engineer role focused on building and improving core conversational AI models and agent capabilities for enterprise customer experiences. The role involves end-to-end ownership from idea to production, including research, training, evaluation, and orchestration of LLMs. | AgentPost-train | 9 |
| Senior Research Engineer, Voice + Speech Senior Research Engineer focused on developing and deploying voice and speech models for a conversational AI platform. The role involves leading research and engineering efforts to improve core conversational capabilities, build end-to-end models, and integrate them into production systems. Requires experience in post-training and deploying LLMs, Python, and ML tooling, with a track record of delivering production impact. |
| Post-trainServe |
| 9 |
| Staff Software Engineer, Agent Orchestration Staff Software Engineer to design and build the runtime and model orchestration layer for conversational AI agents. This role focuses on the agent harness, including routing, execution logic, tool orchestration, and control-plane systems to ensure reliable, low-latency, and delightful user experiences across various channels. The position involves optimizing for latency, reliability, and production correctness, analyzing failures, building feedback loops, and adapting systems as model capabilities evolve. | Agent | 9 |
| Senior Software Engineer, Agent Orchestration Senior Software Engineer to design and build the runtime and model orchestration layer for conversational AI agents. This role focuses on the agent harness, which handles routing, execution logic, tool orchestration, and control-plane systems for live conversations. The work involves optimizing for latency and reliability, analyzing failures, and iterating quickly to improve agent performance in production. | Agent | 9 |
| Engineering Manager, Agent Orchestration Engineering Manager to lead the Agent Orchestration team, responsible for the core execution layer of Decagon's conversational AI platform. This role involves building and leading a team, owning the technical strategy for the orchestration engine, driving architecture for complex reasoning and action flows, and ensuring reliability, testing, and observability. The focus is on coordinating model reasoning, tool use, and evaluation in production to enable predictable, safe, and scalable agent behavior. | Agent | 9 |
| Staff Research Engineer, Voice Staff Research Engineer focused on developing and deploying real-time voice agents, leading research and engineering efforts for core conversational capabilities, and mentoring other team members. The role involves end-to-end ownership from prototype to production impact, with a focus on improving speech understanding, naturalness, and resilience. | Post-trainAgent | 9 |
| Staff Research Engineer Staff Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities, building end-to-end models and pipelines, and mentoring other researchers. Requires 8+ years of experience in AI/ML, prior experience post-training and deploying LLMs, and a track record of production impact. | AgentPost-train | 9 |
| Staff Software Engineer, Agent Orchestration Staff Software Engineer to design and build the runtime and model orchestration layer for Decagon's conversational AI platform. This role focuses on the agent harness, which handles routing, execution logic, tool orchestration, and control-plane systems for reliable, low-latency agent behavior in production. The work involves building distributed systems, optimizing for performance and reliability, and iterating based on real-world failures and experimentation. | Agent | 9 |
| Senior Software Engineer, Agent Orchestration The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon's agents in production. This role focuses on designing and building systems that govern how Decagon agents operate in real-world environments, including execution frameworks, model orchestration logic, and experimentation platforms to ensure agents are fast, reliable, and continuously improving. The work involves optimizing for latency, reliability, and production correctness, analyzing failures, and improving observability and testing systems. | Agent | 9 |
| Senior Research Engineer Senior Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities (instruction following, retrieval, memory, long-horizon task completion), building end-to-end models and pipelines, and integrating new models into production systems. Requires 5+ years of AI/ML experience, prior experience post-training and deploying LLMs in production, and a track record of delivering measurable production impact from research ideas. | AgentPost-train | 9 |
| Engineering Manager, Agents Engineering Manager for an AI Agents team focused on building and shipping best-in-class AI agents for enterprise customers, driving customer retention and defining technical strategy for AI-powered customer support. | Agent | 8 |
| Customer Engineer, Agent Builder - Spanish Speaking This role is for a Customer Engineer, Agent Builder responsible for the end-to-end execution of AI agent builds for enterprise customers. The role involves designing and engineering agentic logic, implementing guardrails, building integrations, and evaluating agent performance. It requires strong technical skills, customer-facing experience, and fluency in English and Spanish. | Agent | 8 |
| Customer Engineer, Agent Builder - Spanish Speaking This role is responsible for the end-to-end execution of AI agent builds for enterprise customers, focusing on technical delivery, configuration, integration, and evaluation. The role requires strong technical skills, customer-facing experience, and the ability to work in a fast-paced environment. | Agent | 8 |
| Staff Software Engineer, Agents Staff Software Engineer, Agents at Decagon, a conversational AI platform company. The role involves designing and building AI agents for customer interactions, identifying trends to guide platform evolution, and experimenting with/evaluating text and voice models for integration with enterprise customers. Requires 8+ years of experience, Python, Typescript, and asynchronous programming proficiency. | Agent | 8 |
| Engineering Manager, Agents Engineering Manager for an AI agent platform focused on customer experience, leading a team to build and deploy AI agents for enterprise clients. The role involves technical leadership, customer collaboration, and driving the full lifecycle of agent deployments. | Agent | 8 |
| Senior Software Engineer, Agents Senior Software Engineer to build and ship AI agents for customer interactions on a conversational AI platform. The role involves designing and building agents that outperform human agents, identifying trends to guide platform evolution, and experimenting with/integrating text and voice models at scale for large enterprise customers. | Agent | 8 |
| Senior Software Engineer, Agents Decagon is seeking a Senior Software Engineer to join their Agent Engineering team. This role focuses on building and shipping AI agents that manage complex customer interactions across voice and chat channels for enterprise clients. The engineer will have end-to-end ownership, identify trends to guide platform development, and experiment with/integrate latest text and voice models at scale. | Agent | 8 |
| Customer Engineer, Agent Builder Customer Engineer, Agent Builder role focused on end-to-end execution of AI agent builds for enterprise customers, including configuration, integration, and validation of guardrails. Requires strong technical skills, customer interaction, and experience with LLM/AI agent development. | Agent | 8 |
| Staff Software Engineer, Voice Agent Staff Software Engineer, Voice Agent at Decagon, focusing on the architecture and evolution of the real-time voice platform for conversational AI customer experiences. The role involves leading projects to improve speech understanding, synthesis quality, timing, responsiveness, and reliability across millions of interactions, collaborating with Research, Infra, and Product teams. Responsibilities include defining standards for reliability, testing, and observability, building debugging frameworks, and mentoring senior engineers. | AgentServe | 8 |
| Engineering Lead, Strategic Deals Engineering Lead for Strategic Deals at a conversational AI platform. This role involves owning the technical build of AI agents for large enterprise clients end-to-end, from POC to stabilization. It requires working with customers to define requirements, leading a pod of engineers to ship solutions, and productionizing them for broader use. The role sits at the intersection of product strategy, technical execution, and customer engagement, with a focus on scaling AI agents for millions of users. | AgentServe | 7 |
| Engineering Lead, Strategic Deals Engineering Lead for Strategic Deals at Decagon, a conversational AI platform. This role involves owning the technical build of AI agents for large enterprise clients end-to-end, from POC to stabilization. Responsibilities include working with customers, leading a pod of engineers, productionizing solutions, and contributing to core product strategy. Requires strong engineering leadership and experience with customer-facing roles. Bonus for experience productionizing agentic systems. | AgentShip | 7 |
| Director of Customer Engineering, Agent Builder Director of Field Engineering leading technical delivery of AI agent deployments for enterprise customers, building teams and playbooks to scale. This role involves hands-on execution, customer engagement, and influencing the platform roadmap. | Agent | 7 |
| GTM Analytics Engineer This role is for a GTM Analytics Engineer who will build the data infrastructure for the go-to-market organization. Responsibilities include designing and building data infrastructure in BigQuery, writing models to transform data, partnering with sales leadership, building data pipelines, owning data quality, and setting technical standards for GTM data modeling. Requires 4+ years of experience in data/analytics engineering, strong SQL, experience with BigQuery and dbt, and familiarity with GTM data and SaaS metrics. | — | 5 |
| Founding Support Lead Founding Support Lead for a conversational AI platform focused on enterprise customer experiences. The role involves building and scaling the support function end-to-end, including establishing 24/7 incident response, defining processes, tooling, SLAs, and eventually hiring and leading a team. The role requires deep technical understanding of AI agents and integrations, with an emphasis on hands-on problem-solving and ownership. | Ship | 5 |
| Senior Software Engineer, Cloud Infrastructure Senior Software Engineer focused on building and operating the cloud infrastructure, ML serving, and deployment platforms for a conversational AI company. The role involves owning enterprise deployments in customer-owned cloud environments, ensuring reliability, scalability, and security of agentic AI workloads. | ServeAgent | 5 |
| Technical Recruiting Coordinator Decagon is hiring a Technical Recruiting Coordinator to support their Engineering Recruiting team. The role involves orchestrating the hiring process for engineers building AI, managing interview coordination, and ensuring a positive candidate experience. This position offers exposure to engineering recruiting within a fast-growing AI company. | — | 5 |
| Platform Engineer, Security This role is for a Platform Engineer focused on Security within a conversational AI company. The primary responsibility is to lead the application security strategy and implementation for the AI platform, ensuring protection against threats while maintaining performance. This involves designing controls, collaborating with engineering teams, establishing testing programs, conducting code reviews, building security tooling, and responding to incidents. While the role operates within an AI company and interacts with AI systems, the core craft is application security engineering, not building or researching AI models themselves. | — | 5 |
| Senior Platform Engineer, Security Senior Platform Engineer, Security at Decagon, a conversational AI platform company. This role focuses on designing, building, and operating the security infrastructure for the AI platform, ensuring secure handling of sensitive customer data and defending against AI-enabled threats. The role involves creating secure service creation paths, security tooling, and infrastructure-as-code, with a focus on automation, observability, and self-service. It requires experience with cloud platforms (GCP/AWS), IaC (Terraform), and systems programming, and partners with various teams to translate enterprise and compliance requirements into automated technical controls. | — | 5 |
| Senior Software Engineer, Data Infrastructure Senior Software Engineer, Data Infrastructure at Decagon, an AI platform company. This role focuses on designing, building, and operating the data systems that power Decagon's AI products, including data pipelines, streaming systems, and analytical data layers. The engineer will ensure reliability, performance, and scalability of these data infrastructures, partnering with research and product teams. Experience with Kafka, Flink, Airflow, ClickHouse, BigQuery, and observability tools is required. | — | 5 |
| Senior Software Engineer, Data Infrastructure Senior Software Engineer, Data Infrastructure role focused on building and operating data systems that power AI products. This involves designing and implementing high-throughput data pipelines, streaming systems, and analytical data layers, with a strong emphasis on reliability, performance, and scalability. The role partners with research and product teams to architect data solutions and optimize data paths for low latency. | Serve | 5 |
| Security Engineer Security Engineer role focused on securing a conversational AI platform for enterprise customers, involving implementation of security controls, building security tooling and automation, and defending against AI-enabled threats. Requires software engineering fundamentals and experience with cloud security and enterprise security requirements. | — | 5 |
| Senior Security Engineer Senior Security Engineer for a conversational AI platform, focusing on application security for AI agents and enterprise customers. Responsibilities include designing security controls, threat modeling, vulnerability management, and building security tooling for AI applications. | — | 5 |
| Senior Software Engineer, Developer Platform Senior Software Engineer to build and evolve Decagon's internal developer platform, focusing on CI/CD, release automation, observability standards, platform tooling, and developer workflows to enhance engineer productivity and system operability. | — | 5 |
| Senior Technical Recruiter, Engineering Decagon is seeking a Senior Technical Recruiter to partner with company leaders and build their Engineering teams. The role involves engaging and closing top talent, optimizing interview processes, and meeting hiring goals in a fast-paced, AI-native environment. Experience in the AI talent landscape is preferred. | — | 5 |
| Staff Software Engineer, Enterprise Product Staff Software Engineer for the Enterprise Product team at Decagon, a conversational AI platform company. The role involves leading a full-stack product engineering team to build and scale the platform that empowers customers to create and optimize AI agents. This includes driving technical direction, creating AI-powered tools for non-technical users, building monitoring and analytics, and mentoring engineers. | Agent | 5 |
| Field Engineer Decagon is seeking a systems-minded Field Engineer to design, prototype, and build internal tooling, data infrastructure, and automated workflows for their conversational AI platform. This role focuses on creating systems that power feedback loops, automate workflows, connect APIs, and deliver actionable insights, enabling internal teams to operate efficiently. The engineer will leverage tools like ChatGPT and develop LLM-powered flows to automate repetitive tasks and improve internal processes. | Agent | 5 |
| Solutions Architect - Salesforce This role is for a Solutions Architect focused on integrating Decagon's conversational AI platform with Salesforce Service Cloud. The architect will design, extend, and integrate Salesforce solutions, acting as a technical advisor to customers and internal teams. Responsibilities include architecting scalable ticketing and case management solutions, designing integrations with external systems, and creating reference architectures. The role requires deep expertise in Salesforce Service Cloud and system integration. | — | 5 |
| Solutions Architect - Infrastructure Solutions Architect - Infrastructure role at Decagon, a conversational AI platform company. Focuses on pre-sales engineering, deployment architecture, and enterprise infrastructure strategy for integrating Decagon's AI platform into customer environments. Requires experience with containerization, cloud functions, and enterprise infrastructure, with a preference for AI/ML infrastructure solutions experience. | — | 5 |
| IT Engineer This role is for an IT Engineer responsible for supporting a global workforce, driving automation, security, and operational excellence. Key responsibilities include managing identity and access, endpoint administration, SaaS operations, and automating IT tasks. The role requires experience in IT systems, endpoint or identity engineering, Okta administration, SSO configurations, Mac endpoint management, and scripting with Python or Bash. | — | 0 |
| IT Engineer Decagon is seeking an IT Engineer for their New York office to support a fast-scaling global workforce. The role involves co-owning identity and access management, endpoint administration, and SaaS operations, focusing on automation, security, and operational excellence. Responsibilities include on-site IT support, administering SaaS stack (Okta, Google Workspace, Slack, Notion), managing the employee identity lifecycle, configuring SSO integrations, maintaining Mac endpoints, automating IT tasks with Python/Bash, supporting security and compliance efforts (SOC 2), and writing documentation. | — | 0 |