Decagon

Research Engineer role focused on building and evolving agent harnesses, runtime systems, and orchestration layers for a conversational AI platform. The role involves designing and implementing systems for routing, execution, tool invocation, and safety guarantees, with a strong emphasis on optimizing for latency, reliability, and production correctness through experimentation and analysis of real-world failures. The position operates in a fast-moving, ambiguous environment, requiring collaboration with Research, Infra, and Product teams.

Research Engineer role focused on building and evolving agent harnesses, runtime systems, and control-plane logic for a conversational AI platform. The role involves designing distributed systems for agent orchestration, optimizing for latency and reliability, and iterating based on real-world failures and experimentation. It operates in a fast-moving, ambiguous space with tight feedback loops, collaborating with Research, Infra, and Product teams.

Staff Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents for enterprise customer experiences. Responsibilities include leading research and engineering for core conversational capabilities, building end-to-end models and pipelines, and integrating them into production systems. Requires experience in post-training and deploying LLMs, Python, ML tooling, and a track record of delivering production impact from research ideas.

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, 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 fluency in Python and ML tooling.

Senior ML Infrastructure Engineer to own platforms for Decagon's model training and inference, including distributed training systems, inference architecture across multiple providers, and frameworks for research and product teams. Focus on technical depth, leading initiatives, and shaping ML stack architecture.

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.

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.

Staff Software Engineer, ML Infrastructure at Decagon, a conversational AI platform. The role focuses on building and owning platforms for model training (LLM and multimodal fine-tuning/post-training) and inference, including multi-provider routing and optimization. The team works at the intersection of research and production, translating ML models into scalable systems.

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.

Senior Research Engineer at Decagon, a conversational AI platform company. The role focuses on improving core conversational AI agent capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion. Responsibilities involve building and iterating on end-to-end models and pipelines, integrating new models into production systems, and breaking down research ideas into roadmaps. Requires 5+ years of AI/ML experience, prior experience post-training and deploying LLMs in production, fluency in Python and ML tooling, and a track record of delivering production impact from research.

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.

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.

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.

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.

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.

Software Engineer role focused on building and shipping AI agents for enterprise customers, impacting millions of users and driving company growth. The role involves designing and building agents that outperform human agents, identifying trends for platform evolution, and experimenting with/integrating text and voice models at scale.

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.

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.

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.

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.

This role focuses on building AI automation agents and intelligent solutions to improve company efficiency and effectiveness. The engineer will design and deploy agents for sales processes, growth marketing, and post-sales support, as well as build an account mapping platform using scrapers, search APIs, and LLMs. The role also involves driving an AI-native culture, identifying internal champions, and defining best practices. Success will be measured by data on hours saved and additional work delivered, with a focus on internal stakeholder satisfaction.

Director of Solutions Engineering for a conversational AI platform, focusing on pre-sales technical leadership, team management, and driving enterprise adoption of AI solutions. This role involves engaging with complex enterprises, designing technical strategies, and collaborating with sales, product, and engineering teams.

Senior Software Engineer on the Enterprise Product team at Decagon, a conversational AI platform company. This role focuses on building self-serve tools and platforms for customers to create, configure, train, and optimize AI agents for customer experiences. The engineer will translate complex AI capabilities into intuitive interfaces for both technical and non-technical users, owning features end-to-end.

Decagon is a conversational AI platform company that empowers brands to deliver customer experiences through AI agents. This Senior Data Scientist role focuses on analyzing, testing, and applying data across the business to inform product strategy and company performance. Responsibilities include building datasets and metrics, enhancing data models, partnering with Engineering and Product on experimentation and measurement, building the data stack, and evaluating ML model performance.

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.

This role is for a Revenue Operations and Systems Associate at Decagon, a conversational AI platform company. The associate will be responsible for Salesforce administration, configuring sales processes, managing the GTM tech stack including AI tooling, designing automated workflows, and supporting system integrations. The role requires hands-on Salesforce admin experience, familiarity with various GTM tools, comfort with integrations and APIs, and technical adeptness with AI tools to streamline workflows. While the company is an AI platform, this role focuses on the operational and systems administration aspects of the Go-To-Market functions, rather than direct AI/ML model development or research.

Decagon is a conversational AI platform company seeking a Senior Product & Design Sourcer to fuel their rapid scaling. This role focuses on top-of-funnel sourcing for critical Product and Design hires, partnering with Recruiters and leaders to identify and attract exceptional talent. The ideal candidate has extensive sourcing experience in PM and Design, strong product/design intuition, and can develop creative sourcing strategies in a fast-paced, high-growth environment.

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.

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.

This role leads and evolves Decagon's IT operations as the company scales, focusing on building intelligent, automated systems to support a global workforce. The Senior Manager will define and execute a multi-year IT roadmap, transforming IT from tactical support to strategic enablement by leveraging AI-powered workflows, automation-first design, and modern ITSM practices. The role involves leading and mentoring a team, scaling IT operations globally, managing budgets, designing automated workflows, and collaborating with security and engineering teams to implement AI tools and ITSM platforms.

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 customers use to create, maintain, and optimize AI agents. This includes driving technical direction, leading complex initiatives, creating AI-powered tools for non-technical users, building monitoring and analytics, and mentoring engineers.

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.

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.

Decagon is seeking a Senior Technical Sourcer to fuel its growth by owning the top of the funnel for critical engineering hires. This role involves partnering with leaders, developing creative sourcing strategies, building candidate relationships, and experimenting with new tools to attract world-class technical talent in a fast-paced, high-growth environment.

Senior Infrastructure Engineer at Decagon, a conversational AI platform company. The role focuses on designing, building, and operating production infrastructure for high-scale, low-latency systems, specifically supporting ML Infra for LLM inference. Responsibilities include owning critical services, improving reliability and performance, and enhancing developer tooling. The role requires experience in infrastructure at scale, meeting high availability and low latency targets, and strong observability skills.

Senior Infrastructure Engineer responsible for designing, building, and operating production infrastructure for high-scale, low-latency AI systems, specifically focusing on ML serving platforms for LLM inference. The role involves optimizing performance, ensuring high availability, and supporting various deployment architectures, including on-prem and air-gapped environments.

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.

Senior Software Engineer on the Enterprise Product team at Decagon, a conversational AI platform company. The role focuses on building self-serve products and tools for customers to create, configure, train, and optimize AI agents. This involves designing scalable systems, intuitive interfaces, and monitoring/analytics for agent improvement, translating complex AI capabilities into accessible products for both technical and non-technical users.

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.

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.

Staff Software Engineer, Infrastructure at Decagon, a conversational AI platform company. This role focuses on building and operating production infrastructure for high-scale, low-latency systems, including ML infra for LLM inference. The engineer will own critical services, improve reliability and performance, and enhance developer tooling. Requires 8+ years of experience in production infrastructure, with depth in areas like Core/Data/AI-ML/Platform/Voice, and a proven track record in meeting high availability and low latency targets.

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.

Decagon is a conversational AI platform that empowers brands to deliver customer experiences. They are looking for a Senior GTM Recruiter to scale their team by partnering with leaders, engaging top talent, and optimizing interview processes. The role requires 8+ years of full-cycle recruiting experience and experience building and scaling talent teams. Experience in the AI talent landscape is a plus.