AI Solution Engineer

About Us

Join Jeen Talk and help build one of the most advanced Enterprise Conversational AI platforms. You'll develop production-ready Voice AI and Chat AI solutions used by enterprise customers worldwide, working on real-time voice infrastructure, AI orchestration, and modern web applications.

You'll be part of a fast-moving startup environment with high ownership, working closely with Product, AI, and DevOps teams to build scalable AI-powered customer experience solutions.

About the Role

Jeen Talk is 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. You’ll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization.

You’ll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using the Jeen Talk 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 Jeen Talk 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 Jeen Talk 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

• 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.