AI SME (Subject Matter Expert)
LocationKraków, Lesser Poland Voivodeship, Poland
Work moderemote
Typefull-time
SeniorityMid
Experience1–2 yrs
Departmentwww.datamaxai.ai - EAM AI REPORTING
Company size501–1,000 people
PostedFeb 19, 2026 · 7mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Experience with multi-agent systems
Experience with tool / function calling
Experience with Retrieval-Augmented Generation (RAG)
Experience with memory systems and vector databases
Experience with workflow orchestration for AI agents
Hands-on experience with OpenAI ecosystem (production or prototype deployments)
Hands-on experience with Anthropic Claude
Hands-on experience with Google Gemini
Hands-on experience with Azure OpenAI
Hands-on experience with open-source LLMs (Llama, Mistral or similar)
Experience with structured outputs and guardrails
Experience with model selection based on use case, latency and cost
Experience integrating AI systems with Microsoft Dynamics
Experience integrating AI systems with HubSpot
Experience integrating AI systems with Zoho
Understanding of REST APIs
Understanding of OAuth authentication
Understanding of Webhooks
Understanding of automation tools (Make, Zapier, n8n or similar)
Experience with vector databases (Pinecone, Weaviate, Chroma or similar)
Experience with knowledge retrieval systems
Experience with semantic data structuring
Experience with business data modelling for AI use cases
Experience with conversational AI frameworks
Experience with AI voice agents
Experience with speech-to-text and text-to-speech systems
Experience with telephony or real-time AI integrations
Knowledge of data governance principles
Knowledge of prompt injection mitigation
Knowledge of AI monitoring and evaluation
Knowledge of responsible AI deployment
Experience integrating AI systems with Salesforce
Skills
Salesforce
Microsoft Dynamics
HubSpot
Zoho
OpenAI
Anthropic Claude
Google Gemini
Azure OpenAI
Llama
Mistral
REST APIs
OAuth
Webhooks
Make
Zapier
n8n
Pinecone
Weaviate
Chroma
Speech-to-text
Text-to-speech
MaxAccelerate AI Labs Division
Location: UAE / Europe / Remote (Flexible)
Reports to: Group CEO / Head of Innovation
About the company
About MaxAccelerate AI Labs
MaxAccelerate 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.
About the role
We are now seeking an AI Subject Matter Expert (SME) to lead technical architecture, prototyping and deployment of AI agent systems.
The Role
This 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.
Responsibilities
Key Responsibilities
AI Agent Design & Deployment
Design, 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 Experience
Hands-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 Integrations
Experience 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 Architecture
Experience with:
• Vector databases (Pinecone, Weaviate, Chroma or similar)
• Knowledge retrieval systems
• Semantic data structuring
• Business data modelling for AI use cases
Conversational & Voice AI
Experience with:
• Conversational AI frameworks
• AI voice agents
• Speech-to-text and text-to-speech systems
• Telephony or real-time AI integrations
Governance & Responsible AI
Knowledge of:
• Data governance principles
• Prompt injection mitigation
• AI monitoring and evaluation
• Responsible AI deployment
Requirements
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.
Hiring process
Please apply with:
• Your LinkedIn profile
• A short summary of AI agents you have built
• Links, demos or documentation of prototype systems