Cresta
Vertical AI · Contact center AI
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 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.
Vertical AI · Contact center AI
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 Software Engineer, Backend (Bucharest) Senior Backend Engineer for Cresta's Voice Platform team, focusing on designing, scaling, and operating distributed services for real-time voice infrastructure and contact center automation. Responsibilities include leading development of microservices in Golang, owning voice platform integrations, expanding capabilities like SIP/WebRTC/multilingual support/transcription/translation, building conversation intelligence systems, and improving observability and reliability of real-time voice pipelines. Requires strong backend and distributed systems experience, Go expertise, and cloud infrastructure knowledge. | Serve | 5 |
| Staff Infrastructure Software Engineer (Kubernetes) Staff Infrastructure Software Engineer responsible for designing, building, and advancing core infrastructure, including multi-cloud Kubernetes clusters, developer toolchains, and automation. The role specifically involves building machine learning infrastructure to support AI teams in training, testing, and deploying models on large-scale datasets, with a bonus for GPU-enabled cluster experience. |
| Serve |
| 5 |