Cresta

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.

Machine Learning Engineer focused on developing and deploying AI Agents, including proprietary LLMs, for contact center solutions. The role involves improving reasoning, planning, evaluation, and scaling AI systems for production environments, bridging the gap between research and real-world application.

This role is for a Forward Deployed Engineering Manager who will lead a team of engineers responsible for deploying cutting-edge AI agents to customers, ensuring successful implementation, driving customer success, and influencing product strategy based on customer insights. The role involves building and mentoring the team, refining deployment processes, and collaborating across product, engineering, and go-to-market functions.

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.

Staff Backend Engineer to lead architecture and technical direction for Cresta's AI Agent integration platform, enabling seamless integration with CCaaS platforms, real-time conversation participation, and human-AI handoff in enterprise contact center environments.

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.

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.

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.

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.

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.

Software Engineer, Backend (AI Agent) role at Cresta, focusing on designing and maintaining scalable backend architectures for AI Agent solutions and LLMs. The role involves ensuring reliable and scalable server solutions for high-volume interactions, optimizing performance, and integrating AI Agents into customer solutions. While not pure research, it involves working with advanced cloud and server technologies to bring AI advancements into production.