AI Solution Engineer

Jeen.ai; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Jeen.ai is seeking an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers, including Voice AI, Text Agents, and conversation workflows. You will own customer implementations end-to-end from discovery through production delivery, integrate with APIs, CRM, telephony, and databases, and monitor performance in production on Jeen Talk SaaS platform.

The role blends AI, integrations, and customer-facing work, collaborating with Product, R&D,

Qualifications

• 2 years of professional experience in Solution Engineering, Software Engineering, or a similar technical role.
• Hands-on Python and scripting experience.
• Experience with REST APIs, webhooks, and system integrations.
• Experience with databases and data-driven applications.
• Hands-on experience or strong knowledge of Generative AI and LLM-based applications.
• Strong understanding of SaaS applications and production environments.
• Strong troubleshooting and root-cause analysis across multiple systems.
• Ability to translate customer requirements into technical solutions.
• Strong customer-facing and communication skills.
• Ability to independently own multiple technical implementations through production.

Responsibilities

• Design, implement, deploy, and operate AI-powered solutions for enterprise customers.
• Own customer implementations end-to-end, from discovery through production delivery.
• Integrate Jeen Talk with APIs, CRM, telephony, databases, knowledge bases, and other enterprise systems.
• Configure prompts, workflows, AI models, tools, and integrations according to customer requirements.
• Monitor production AI agents, troubleshoot issues, perform root-cause analysis, and optimize performance.
• Support enterprise customers using the Jeen Talk SaaS platform.
• Collaborate with Product, R&D, Sales, and Customer Success to bring insights from implementations back to the product.
• Manage multiple customer implementations simultaneously and take ownership through production delivery.

Skills

Solution Engineering

Software Engineering

Technical Implementation

Integrations

Python scripting

REST APIs

Webhooks

Databases

Generative AI

LLM workflows

SaaS

Customer-facing

Independent ownership

Tools

FastAPI

TypeScript

Node.js

React

RAG

Vector Databases

Embeddings

Guardrails

LLM evaluation

CRM integration

Cloud environments

Docker

Kubernetes

Job description

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.

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.

• 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.

• 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.