We are looking for an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers.
This is a hands-on, multidisciplinary role combining AI, integrations, customer-facing work, and technical problem-solving. Youll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization.
Youll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using our SaaS platform.
Key Responsibilities
Design, configure, and deploy Voice AI Agents, Text Agents, and conversation analysis solutions.
Translate customer business processes and requirements into working AI solutions.
Own customer implementations end-to-end, from technical discovery and solution design through production deployment.
Integrate us with APIs, CRM systems, telephony/PBX platforms, databases, knowledge bases, and other enterprise systems.
Configure prompts, workflows, business logic, AI models, tools, and integrations according to customer requirements.
Monitor production AI agents, troubleshoot technical issues, perform root-cause analysis, and continuously optimize performance.
Support enterprise customers using the SaaS platform.
Work closely with Product, R&D, Sales, and Customer Success, bringing insights from customer implementations back into the product.
Manage multiple customer implementations simultaneously and take ownership through successful production delivery.
Requirements: Requirements
2+ years of professional experience in Solution Engineering, Software Engineering, Technical Implementation, Integrations, or a similar technical role.
Hands-on experience with Python and the ability to build scripts, integrations, and technical solutions.
Experience working with REST APIs, webhooks, and system integrations.
Experience working with databases and data-driven applications.
Hands-on experience or strong technical knowledge of Generative AI and LLM-based applications, including prompting and AI workflows.
Strong understanding of SaaS applications and production environments.
Strong troubleshooting and root-cause analysis skills across multiple systems and integrations.
Ability to understand customer business requirements and translate them into technical solutions.
Strong customer-facing and communication skills.
Ability to independently own multiple technical implementations from requirements through production.
Preferred Qualifications
Experience with Voice AI, conversational AI, AI Agents, chatbots, or automation platforms.
Experience with FastAPI, TypeScript, Node.js, or React.
Experience with RAG, Vector Databases, Embeddings, Guardrails, or LLM evaluation.
Experience with telephony and contact-center technologies, including SIP, PBX, VoIP, CTI, or telephony APIs.
Experience integrating with CRM, contact-center, or other enterprise systems.
Experience with Cloud environments, Docker, Kubernetes, or microservices.
Experience supporting customer-facing systems running in production.
Previous experience in a contact center or customer-service environment.
This position is open to all candidates.