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AI Solutions Specialist

Role overview

Qualifications

  • Proven track record with deployed AI agents or documented case studies of AI integrations
  • Technical proficiency with LLM architectures (GPT-4, Claude 3.5, Gemini 1.5 Pro)
  • Experience with automation platforms and API orchestration (Zapier, Make.com)
  • Mastery of technical prompt construction to eliminate hallucination and ensure structured outputs (JSON, Markdown, etc.)

Responsibilities

  • Agent Architecture: Design and deploy multi-functional AI agents tailored for specific departments, including marketing automation, UI/UX design workflows, and internal data processing
  • System Integration: Connect AI models to existing software stacks (CRMs, ERPs, project management tools) via APIs to create cohesive, automated ecosystems
  • Advanced Prompt Engineering: Develop, test, and refine complex prompt libraries using Chain-of-Thought, Few-Shot prompting, and Retrieval-Augmented Generation (RAG)
  • Workflow Automation: Identify manual bottlenecks and build AI-driven solutions to streamline operations and reduce lead times

About the company

IDSCCC logo

IDSCCC

Digital Transformation Consulting

نقدم في مركز الخدمات المتكاملة الرقمية للاستشارات برامج استشارية وتقنية للتحول الرقمي لجميع انواع المنشاءات

Company details

Company typeStartup
IndustryDigital Transformation Consulting
Company size2 - 10

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Job description

This is a remote position.

We are seeking a versatile AI Solutions Specialist to lead the charge in designing, building, and deploying custom AI agents across our ecosystem. This isn't just a role for a "user"; we need an architect who can bridge the gap between complex business logic and generative AI capabilities.

The ideal candidate will have a proven track record of moving beyond simple chat interfaces to create autonomous agents that handle automation, seamless application integration, and high-level creative output.

Key Responsibilities

  • Agent Architecture: Design and deploy multi-functional AI agents tailored for specific departments, including marketing automation, UI/UX design workflows, and internal data processing.

  • System Integration: Connect AI models to existing software stacks (CRMs, ERPs, project management tools) via APIs to create cohesive, automated ecosystems.

  • Advanced Prompt Engineering: Develop, test, and refine complex prompt libraries using techniques like Chain-of-Thought, Few-Shot prompting, and Retrieval-Augmented Generation (RAG).

  • Workflow Automation: Identify manual bottlenecks and build AI-driven solutions to streamline operations and reduce lead times.

  • Optimization & Scaling: Monitor agent performance, refine model outputs for accuracy and brand voice, and scale successful pilots into company-wide tools.


Requirements

Required Experience & Skills

Category
Requirement
Proven Track Record
Portfolio of deployed AI agents or documented case studies of AI integrations.
Technical Proficiency
Deep understanding of LLM architectures (GPT-4, Claude 3.5, Gemini 1.5 Pro) and their specific strengths.
Integration Tools
Experience with automation platforms (Zapier, Make.com) and API orchestration.
Prompt Engineering
Mastery of technical prompt construction to eliminate hallucination and ensure structural output (JSON, Markdown, etc.).
Domain Versatility
Ability to pivot between creative (marketing/design) and logic-based (automation/coding) AI applications.

Core Competencies

  • Problem Solver: You don't just see a tool; you see a solution to a specific business friction point.

  • Adaptive Learner: The AI landscape shifts weekly; you pride yourself on staying ahead of the curve.

  • Clear Communicator: You can translate "AI-speak" into actionable business value for stakeholders.

Note: We are looking for candidates who can demonstrate functional results—show us an agent you built that actually solved a problem, saved time, or generated revenue.




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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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