Senior AI Solutions Engineer

Jobtailor

United Arab Emirates

On-site

AED 300,000 - 600,000

Full time

14 days+

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Job summary

Jobtailor in United Arab Emirates seeks a senior software architect / full-stack engineer to lead AI-driven CRM and enterprise integrations. You will build AI agents, RAG systems, and multi-agent solutions on Salesforce and our proprietary platform, delivering scalable, production-ready applications.

You will prototype rapidly, collaborate with customers, and guide architecture decisions across React, TypeScript, Python/Node.js, FastAPI, GraphQL, and microservices, ensuring excellence in API

Qualifications

7+ years of software engineering / solution architecture experience.
Strong full-stack development skills.
Strong React and TypeScript.
Strong Python and/or Node.js.
Significant Salesforce experience.
Experience with Salesforce Agentforce / Einstein.
Hands-on experience with OpenAI and/or Anthropic Claude.
Experience building LLM-powered applications.
Experience with AI agents and RAG.
Strong API and integration experience.
Cloud experience.
Enterprise architecture experience.
Excellent communication skills.
Experience working directly with customers.
Ability to work independently, rapidly prototype, prioritise and make decisions quickly.
Curiosity and willingness to learn rapidly changing AI technologies.

Responsibilities

Build AI agents, intelligent CRM capabilities, AI sales assistants, customer intelligence platforms, automated workflows, RAG systems, AI copilots, multi-agent solutions and LLM-powered applications.
Build innovative AI experiences around Salesforce using Agentforce, Einstein, Apex, Lightning Web Components, Salesforce Flow, APIs and external LLM integrations.
Design and build AI-native functionality for the proprietary CRM platform, including sales intelligence, account research, lead analysis, customer insights, sales agents and intelligent recommendations.
Develop full-stack solutions across React, TypeScript, JavaScript, Next.js, Python, Node.js, FastAPI, REST APIs, GraphQL and microservices.
Work directly with customers, prospects and senior stakeholders through discovery sessions, technical workshops, AI strategy discussions, solution design, demonstrations, proof-of-concepts, RFP/RFI responses, presentations, roadmaps and implementation.
Partner with Business Development to create industry-specific technical demonstrations around customer challenges.
Work with R&D and Services teams to introduce AI technologies, develop engineering standards, train developers and consultants, build reusable components and internal frameworks, identify automation opportunities, and run AI workshops.
Create product demonstrations, AI demo videos, technical walkthroughs, customer presentations, internal training videos, LinkedIn/video content, technical articles and architecture demonstrations.
Rapidly prototype, prioritise, make decisions, iterate from feedback and move ideas to demonstrations under tight deadlines.

Skills

Full-Stack Development

React

TypeScript

Python

Node.js

Salesforce Experience

OpenAI

LLM-Powered Applications

API Development

Cloud Technologies

Enterprise Architecture

Excellent Communication

Customer-Facing

Tools

Salesforce Agentforce

Salesforce Einstein

FastAPI

REST APIs

GraphQL

Microservices

Job description

Build AI agents, intelligent CRM capabilities, AI sales assistants, customer intelligence platforms, automated workflows, RAG systems, AI copilots, multi-agent solutions and LLM-powered applications
Build innovative AI experiences around Salesforce using Agentforce, Einstein, Apex, Lightning Web Components, Salesforce Flow, APIs and external LLM integrations
Design and build AI-native functionality for the proprietary CRM platform, including sales intelligence, account research, lead analysis, customer insights, sales agents and intelligent recommendations
Develop full-stack solutions across React, TypeScript, JavaScript, Next.js, Python, Node.js, FastAPI, REST APIs, GraphQL and microservices
Work directly with customers, prospects and senior stakeholders through discovery sessions, technical workshops, AI strategy discussions, solution design, demonstrations, proof-of-concepts, RFP/RFI responses, presentations, roadmaps and implementation
Partner with Business Development to create industry-specific technical demonstrations around customer challenges
Work with R&D and Services teams to introduce AI technologies, develop engineering standards, train developers and consultants, build reusable components and internal frameworks, identify automation opportunities, and run AI workshops
Create product demonstrations, AI demo videos, technical walkthroughs, customer presentations, internal training videos, LinkedIn/video content, technical articles and architecture demonstrations
Rapidly prototype, prioritise, make decisions, iterate from feedback and move ideas to demonstrations under tight deadlines

Requirements

7+ years of software engineering / solution architecture experience
Strong full-stack development skills
Strong React and TypeScript
Strong Python and/or Node.js
Significant Salesforce experience
Experience with Salesforce Agentforce / Einstein
Hands-on experience with OpenAI and/or Anthropic Claude
Experience building LLM-powered applications
Experience with AI agents and RAG
Strong API and integration experience
Cloud experience
Enterprise architecture experience
Excellent communication skills
Experience working directly with customers
Ability to work independently, rapidly prototype, prioritise and make decisions quickly
Curiosity and willingness to learn rapidly changing AI technologies

Core Competencies

Demonstrates extensive experience in full-stack development, particularly with React, TypeScript, Python, and Node.js, while leveraging Salesforce technologies to build AI-driven solutions. Proven ability to engage with stakeholders, prototype rapidly, and implement innovative AI applications in a customer-focused environment.

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