Decagon currently has 37 active AI-related job listings. The majority of these roles, 81%, are focused on agents, with post-training roles making up 11% and application roles at 5%. Engineering is the dominant function, with 30 positions, followed by 7 in Product. The United States accounts for most of the hiring, with 33 roles, and the United Kingdom has 4. Frequent tech tags include agent_orchestration, llm_observability, and model_serving, suggesting a focus on agent development and operationalization. Over the last 30 days, Decagon has added 6 new AI roles, representing a 20% increase compared to the previous 30-day period.
Currently tracking 36 active AI roles, down 60% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$430k (avg $286k).
Decagon currently has 37 active AI-related roles in our index. The most common open titles are: Senior Agent Product Manager (3), Senior Research Engineer (3), Senior Research Engineer, Voice + Speech (2), Senior Software Engineer, Agent Orchestration (2), Senior Software Engineer, Agents (2). Most positions are in Engineering and Product.
Decagon's active AI hiring is concentrated in: agents (81%), post-training (14%), serving infrastructure (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 (31 roles), United Kingdom (5 roles), Australia (1 role).
Job postings at Decagon most frequently reference: agent orchestration, llm observability, model serving, evals, fine tuning.
In the past 30 days, Decagon has posted 4 new AI-related roles. That is a -50% change versus the prior 30 days (8 → 4).
| Title | Stage | AI score |
|---|---|---|
| Senior Research Engineer 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. | AgentPost-train | 9 |
| Software Engineer, Agents 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. |
| Agent |
| 8 |