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 Forward Deployed Engineer (AI Agent) - Germany This role focuses on developing, deploying, and optimizing AI agents for enterprise customers, integrating them with external systems, and providing technical guidance. It involves customer collaboration, performance tuning, and contributing to the AI platform's improvement. | Agent | 8 |
| Senior Forward Deployed Engineer (AI Agent) - UK Senior Forward Deployed Engineer (AI Agent) 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 on AI agent best practices. Requires strong programming skills (Python, Golang), familiarity with LLMs, prompt engineering, AI agent frameworks, RAG, and cloud/DevOps practices. | Agent |
| 8 |