AI SME (Subject Matter Expert)

MaxAccelerate

Киев
Постоянная работа
Полная занятость

3 д. назад
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MaxAccelerate AI Labs Division
Location: UAE / Europe / Remote (Flexible)
Reports to: Group CEO / Head of InnovationAbout MaxAccelerate AI LabsMaxAccelerate AI Labs is the innovation division of MaxAccelerate Technology Group, focused on designing and deploying next-generation AI automation ecosystems for enterprise clients.We are building intelligent AI Agents that integrate across CRM platforms such as Salesforce, Microsoft Dynamics, HubSpot and Zoho — transforming Sales, Recruitment, Customer Service and Executive Intelligence operations.Our objective is to build a catalogue of production-ready AI solutions and an AI Academy for enterprise deployment.We are now seeking an AI Subject Matter Expert (SME) to lead technical architecture, prototyping and deployment of AI agent systems.The RoleThis is a hands-on technical role. You will be responsible for:

Designing and deploying enterprise-grade AI agent systems
Building working prototypes and production-ready AI automations
Selecting and implementing best-in-class AI models and frameworks
Architecting multi-agent workflows
Integrating AI into CRM and business systems
Supporting the creation of modular AI solutions for repeatable deployment

This is not a management-only role. We are looking for someone who actively builds.Key ResponsibilitiesAI Agent Design & DeploymentDesign, build and optimise:

AI Sales Agents (SDR automation, lead qualification, CRM updates)
AI Customer Service Agents (ticket triage, response drafting, sentiment analysis)
AI Recruitment Agents (CV screening, candidate scoring, AI interviewers)
AI Executive Insight Agents (KPI summaries, reporting automation)

Experience required in:

Multi-agent systems
Tool / function calling
Retrieval-Augmented Generation (RAG)
Memory systems and vector databases
Workflow orchestration for AI agents

LLM & Model ExperienceHands-on experience with:

OpenAI ecosystem (production or prototype deployments)
Anthropic Claude
Google Gemini
Azure OpenAI
Open-source LLMs (Llama, Mistral or similar)
Structured outputs and guardrails
Model selection based on use case, latency and cost

CRM & System IntegrationsExperience integrating AI systems with:

Salesforce (preferred but not essential)
Microsoft Dynamics
HubSpot
Zoho

Understanding of:

REST APIs
OAuth authentication
Webhooks
Automation tools (Make, Zapier, n8n or similar)

Salesforce CRM experience is preferred but not essential.AI Data & Knowledge ArchitectureExperience with:

Vector databases (Pinecone, Weaviate, Chroma or similar)
Knowledge retrieval systems
Semantic data structuring
Business data modelling for AI use cases

Conversational & Voice AIExperience with:

Conversational AI frameworks
AI voice agents
Speech-to-text and text-to-speech systems
Telephony or real-time AI integrations

Governance & Responsible AIKnowledge of:

Data governance principles
Prompt injection mitigation
AI monitoring and evaluation
Responsible AI deployment

Candidate Requirements

12–24 months hands-on experience building AI agents or AI automation systems
Proven working prototype examples of AI agents already built and deployed (must be able to demonstrate)
Strong systems-thinking and architecture mindset
Comfortable operating in a fast-moving innovation environment
Commercial awareness and ability to translate technical solutions into business outcomes

This role is suited to a builder who has already created real AI agents and wants to scale that experience into enterprise-grade deployments.What You Will Help Build

A full AI Agent Ecosystem
A catalogue of modular AI automation solutions
Enterprise-ready AI deployment frameworks
AI training and enablement programmes

If you have already built AI agents and want to help architect and scale a dedicated AI Labs division, we would like to hear from you.Please apply with:

Your LinkedIn profile
A short summary of AI agents you have built
Links, demos or documentation of prototype systems

MaxAccelerate