Cresta

Senior Machine Learning Engineer focused on building and improving AI-powered voice systems for contact centers. This role involves working on ASR, speech understanding, agentic workflows, and real-time production systems, with a strong emphasis on model quality, evaluation, and production deployment.

Staff Machine Learning Engineer at Cresta, focusing on building and scaling agentic AI systems, evaluating LLM agent performance, and architecting RAG pipelines for enterprise data. The role involves leading technical vision, designing multi-agent orchestration, and ensuring robustness, reliability, and cost-efficiency of LLM systems.

Senior Machine Learning Engineer focused on Automatic Speech Recognition (ASR) and downstream NLP systems. The role involves designing and implementing evaluation frameworks, leading ASR quality improvement efforts, analyzing data, developing ML models, and optimizing pipelines for production systems. Requires strong background in speech recognition, model evaluation, and ML frameworks.

Senior Machine Learning Engineer role focused on building and scaling next-generation agentic AI systems and LLM-powered applications for the contact center. Responsibilities include designing agent workflows, RAG pipelines, multi-agent orchestration, and developing evaluation strategies for complex, non-deterministic systems. Requires strong expertise in LLMs, modern prompting techniques, and production deployment of ML systems.

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.

Senior Forward Deployed Engineer (AI Agent) role focused on developing, deploying, and optimizing AI agents for enterprise customers. This role involves system integration, performance optimization, 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.

AI Language Engineer to design, build, and enhance natural language systems for intelligent products and experiences in text and speech domains. This role involves linguistic insight, applied NLP expertise, and AI engineering execution, collaborating with product and engineering teams to translate language challenges into scalable AI solutions. Responsibilities include developing LLM workflows, NLP components (intent detection, entity recognition, RAG), ASR/TTS workflows, fine-tuning and evaluating models, analyzing model outputs, defining linguistic evaluation criteria, and driving R&D for speech and language systems. The role also involves data preprocessing, dataset creation, designing experiments, integrating models into production systems, building tooling for evaluation and monitoring, supporting optimization and infrastructure, and collaborating cross-functionally.

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.

Applied Data Scientist role focused on developing and shipping new AI-powered features for enterprise contact centers, working directly with customers to understand needs, iterate on solutions, and generalize learnings into productized capabilities. The role involves building LLM-based systems, curating evaluation guidelines and datasets, and staying current with AI/ML research.

Senior Forward Deployed Engineer (AI Agent) role focused on developing, deploying, and optimizing AI agents for enterprise customers. This role involves system integration, performance optimization, 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.

Senior Machine Learning Engineer focused on Automatic Speech Recognition (ASR) and downstream NLP systems. The role involves designing and implementing evaluation frameworks, leading ASR quality improvement efforts, analyzing speech and text data, developing ML models, and collaborating with research, product, and platform teams to ensure model performance translates to business impact. Emphasis on model evaluation, measurement, and quality improvements.

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 (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.

Senior Machine Learning Engineer focused on Automatic Speech Recognition (ASR) and downstream NLP systems. The role involves designing and implementing evaluation frameworks, leading ASR quality improvement efforts, analyzing data, developing ML models, and collaborating with research, product, and platform teams to ensure model performance translates to business impact. Emphasis on model evaluation, measurement, and quality improvements in production environments.

This role is for a Forward Deployed Product Manager focused on creating, deploying, and optimizing AI Agents for enterprise customers in the EMEA region. The role involves defining agent outcomes, managing the deployment lifecycle, designing and iterating on AI agents with engineers, serving as an AI Agent SME for sales, leading customer relationships, and improving deployment playbooks. It requires a strong technical understanding of AI/LLM products and experience leading complex deployments.

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 on AI agent adoption. Requires strong engineering skills, Python/Golang proficiency, and familiarity with LLMs, prompt engineering, RAG, and cloud/DevOps practices.

Product Manager role focused on deploying, optimizing, and iterating on AI Agents for enterprise customers, working closely with Forward Deployed Engineers and customer stakeholders to drive business outcomes and shape the AI agent platform.

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.

Machine Learning Engineering Intern role at Cresta, focusing on developing AI solutions for contact centers, specifically Generative Knowledge Assist (GenKA), Knowledge Search (KS), and Retrieval-Augmented Generation (RAG). The role involves designing, developing, and deploying AI solutions, improving reasoning and evaluation, scaling AI systems, and contributing to cutting-edge AI research and production environments.

The Conversation Design Intern will assist in designing, building, deploying, and tuning AI conversation models for real-time coaching and virtual agents in contact centers. This role involves collaboration with internal teams and customers, defining labeling guidelines for training AI models, and leading model maintenance efforts.

The Demo Engineering Manager will lead a team responsible for developing and maintaining AI-powered demo infrastructure and environments for Cresta's contact center platform. This role involves overseeing the architecture, scalability, and reliability of demo environments, driving the development of reusable demo frameworks, and championing the use of modern AI tooling like LLM workflows and agents to enhance demo realism. The manager will also guide the integration of new features into demo assets and collaborate with Product and Engineering to influence roadmap based on pre-sales learnings.

Product Designer role focused on creating tools (AI Builders) that allow customers to design, configure, test, and deploy AI agents and workflows. The role involves translating complex AI capabilities into intuitive user experiences for both technical and non-technical users, focusing on end-to-end flows and balancing agentic and deterministic workflows.

Lead the AI evaluation strategy and systems for Cresta's AI Agent product line, focusing on ensuring reliability, accuracy, and empathy at scale. This role involves designing test plans for LLMs, building automated testing environments, conducting manual UAT, and leading a team of QA analysts. The ideal candidate has strong systems thinking, operational leadership, and a "QA nose" for edge cases, with experience in AI or high-growth SaaS environments.

This role focuses on designing and demonstrating Cresta's AI capabilities for pre-sales engagements. Responsibilities include creating synthetic conversations, analyzing data to build business cases, enhancing demo environments, and designing AI agent experiences. The role collaborates with ML, Product, Data Science, and Sales Engineering teams.

This role focuses on designing, developing, and maintaining scalable backend architectures for AI Agent solutions and proprietary models. The engineer will collaborate with ML engineers to integrate AI Agents, enhance system scalability and reliability, optimize server performance, and implement security measures. Experience with virtual/AI agent systems, cloud environments, Kubernetes, and databases is required.

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.

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.

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.

Solutions Engineer role focused on partnering with sales to guide prospective customers through the discovery, design, and validation of Cresta's AI-powered solutions for contact centers. This involves understanding customer business goals and technical environments, architecting solutions using LLMs, SLMs, and real-time AI assistance, and delivering tailored product demonstrations and proof-of-value engagements. The role serves as a technical liaison between Sales, Product, and Engineering, staying current on emerging AI technologies like RAG and speech recognition.

Strategic Solutions Engineer at Cresta, a company focused on AI for contact centers. The role involves partnering with sales to understand customer needs, architect AI-powered solutions using LLMs, SLMs, and real-time AI, and lead technical discovery and proof-of-value engagements. Requires deep knowledge of contact center solutions and AI/ML technologies, with a focus on conversational AI and agent augmentation.

This role focuses on designing, building, deploying, and tuning AI conversation models for contact center agents and virtual agents. It involves defining labeling guidelines for training models and leading model maintenance efforts, with a specific mention of using Google's Dialogflow CX.

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.

This role assists in designing, building, deploying, and tuning AI conversation models for contact centers, focusing on real-time coaching and virtual agents. It involves defining labeling guidelines, training data, and maintaining AI models, with a preference for linguistics and experience with Dialogflow CX.

Software Engineer Intern role focused on building real-time, AI-driven customer interaction systems for contact centers. The role involves working on production infrastructure for AI agents, real-time assistance, conversation intelligence, and evaluation systems, with an emphasis on low latency, reliability, and business outcomes.