Cresta currently has 50 active AI-related job listings. The majority of these roles, 66%, are focused on agents, with serving infrastructure and post-training each representing 10% of the openings. Engineering is the top function for hiring. Recent activity shows a significant increase in new AI roles, with 4 new positions posted in the last 30 days, a 100% increase compared to the previous 30-day period.
Currently tracking 36 active AI roles, down 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $60k–$280k (avg $188k).
Cresta currently has 42 active AI-related roles in our index. The most common open titles are: Infrastructure Engineer/SRE (3), Senior Forward Deployed Engineer (AI Agent) (3), Senior Full Stack Engineer - Conversation Intelligence (2), AI Quality Assurance Intern, Associate Conversational AI Designer. Most positions are in Engineering and Product.
Cresta's active AI hiring is concentrated in: agents (67%), serving infrastructure (12%), post-training (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cresta is hiring AI talent in: United States (15 roles), Canada (12 roles), United Kingdom (3 roles), Romania (2 roles).
Job postings at Cresta most frequently reference: agent orchestration, model serving, llm observability, rag, tool use.
In the past 30 days, Cresta has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer Senior Machine Learning Engineer role focused on building and scaling next-generation agentic AI systems and evaluation frameworks for contact center applications. The role involves designing multi-step agent workflows, RAG pipelines, and optimizing LLM-powered systems for production, with a strong emphasis on improving reliability, robustness, and performance. | AgentEval Gate | 9 |
| Senior Forward Deployed Engineer (AI Agent) Senior Forward Deployed Engineer role focused on developing, deploying, and optimizing AI agents for enterprise customers. This role involves system integration, performance tuning, customer collaboration, and providing technical guidance for AI agent adoption, leveraging LLMs and agent frameworks. | Agent |
| 8 |
| Forward Deployed Engineering Intern (AI Agent) This internship focuses on supporting real-world AI deployments of AI Agents in customer environments, involving configuration, integration testing, performance tuning, and customer interaction. The role leverages LLMs and AI Agent systems within an enterprise AI context. | Agent | 7 |
| AI Quality Assurance Intern The AI Quality Assurance Intern will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems, focusing on AI behavior analysis, intent recognition evaluation, conversation quality assessment, model output auditing, and prompt testing. Responsibilities include executing test plans, validating AI outputs, identifying inconsistencies, and providing feedback for improvement. | Eval GatePost-train | 7 |
| Senior Full Stack Engineer - Conversation Intelligence Senior Full Stack Engineer role focused on building and scaling a no-code platform for conversation intelligence. The platform uses LLMs and AI to analyze agent performance and automate processes, enabling non-technical users to configure workflows. The role involves full-stack development, UI/backend services, and collaboration with ML engineers. | Agent | 7 |
| Senior Software Engineer, Backend (AI Agent Integrations) Backend engineer to build systems for integrating AI Agents with enterprise CCaaS platforms, managing conversation state, and enabling seamless AI-to-human handoffs in real-time contact center environments. | Agent | 7 |
| Senior Software Engineer, Backend (AI Agent Runtime) Senior Software Engineer to build and operate the real-time AI agent runtime infrastructure, focusing on LLM streaming, conversation state management, and a serverless-style function execution platform for custom logic. The role also involves building developer-facing tooling and ensuring production quality through observability and incident response. | AgentServe | 7 |