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 |
|---|---|---|
| Staff Software Engineer, Backend (Cluj) Staff Backend Engineer focused on building and optimizing data storage solutions (Postgres, ClickHouse, Elasticsearch) for a Customer Data Platform that provides insights and guides customer engagement. The role involves designing and maintaining backend services, APIs, and distributed systems, collaborating with data scientists and ML engineers, and ensuring system reliability and scalability. | — | 5 |
| Staff Software Engineer, Backend (Iasi) Staff Backend Engineer role focused on building and optimizing backend services, APIs, and data storage solutions (Postgres, ClickHouse, Elasticsearch) for a Customer Data Platform. The role involves collaborating with data scientists and ML engineers, monitoring distributed systems, and ensuring security, scalability, and reliability. Experience with large-scale analytical queries and real-time data is crucial. | — | 5 |
| Senior Software Engineer, Backend (Bucharest) |
| Serve |
| 5 |
| Staff Infrastructure Software Engineer (Kubernetes) Staff Infrastructure Software Engineer responsible for designing, building, and advancing core infrastructure, including developer toolchains, multi-cloud Kubernetes clusters, and machine learning infrastructure to support AI teams. | — | 5 |
| Staff Software Engineer, Backend (Bucharest) Staff Backend Engineer focused on building and optimizing data storage solutions (Postgres, ClickHouse, Elasticsearch) and backend services for a Customer Data Platform that provides insights and guides customer engagement. The role involves designing APIs, collaborating with data scientists and ML engineers, and ensuring system scalability and reliability. | — | 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 |
| Senior Software Engineer, Backend (Cluj) Software Engineer role focused on building and improving Cresta's AI-powered contact center platform, optimizing for performance and reliability. The role involves collaborating with product and engineering teams, owning customer-facing deliverables, and growing into technical ownership of platform components. Requires strong backend engineering skills, API design, real-time data handling, and cloud/Kubernetes experience. | — | 5 |