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.
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 |
|---|---|---|
| Infrastructure Engineer/SRE Infrastructure Engineer/SRE role focused on building and advancing core infrastructure for an AI company. Responsibilities include developer toolchain, ensuring reliability of Kubernetes clusters, metrics/logging/alerting, infrastructure-as-code, automation, and building ML infrastructure for AI teams. | Serve | 7 |
| Infrastructure Engineer/SRE The Infrastructure Engineer/SRE role at Cresta focuses on designing, building, and advancing core infrastructure to support engineering teams. Responsibilities include developing dev tools, ensuring reliability of Kubernetes clusters, implementing metrics and logging, managing infrastructure-as-code deployments, automating operations, and building machine learning infrastructure for AI teams. | Serve | 5 |
| Infrastructure Engineer/SRE Infrastructure Engineer/SRE role focused on building and advancing core infrastructure for an AI company, including developer toolchains, Kubernetes clusters, logging, and infrastructure-as-code. The role specifically involves building machine learning infrastructure to support AI teams in training, testing, and deploying models on large-scale datasets. | Serve | 5 |
| 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 |