
AI Automation Specialist
3 days ago
Job Description:
- We are seeking a skilled AI developer to join our team and help us create innovative solutions for our clients.
The ideal candidate will have a strong portfolio of automation and AI agent projects, practical experience in automation or orchestration platforms, and working knowledge of MCP server architecture and AI model integration patterns.
Solid understanding of ML, AI, and data fundamentals is essential, including prompt engineering, embeddings, context management, and RAG. Experience integrating REST APIs, webhooks, and event-driven workflows is also required.
The successful candidate will be able to work independently, troubleshoot effectively, and deliver solutions without heavy oversight.
Key Responsibilities:
- Develop AI agents & automation workflows: Build multi-step, context-aware systems that combine AI reasoning with data processing and external integrations.
- Integrate APIs & data sources: Connect diverse systems such as chat platforms, CRMs, databases, and cloud apps using secure, efficient integrations.
- System Architecture: Design solutions that are maintainable, extensible, and optimized for performance.
- Testing & Quality Assurance: Implement structured testing, error handling, and monitoring to ensure high system uptime.
- Documentation & Handover: Create clear technical documentation so solutions can be maintained and scaled.
- Continuous Improvement: Research emerging tools and approaches to improve efficiency, accuracy, and scalability.
Benefits:
- Flexible hours and remote work setup.
- Opportunity to work on real client projects with measurable business impact.
- Exposure to cutting-edge AI and automation tools.
- Direct collaboration with founders and a clear growth path toward full-time leadership in automation projects.
Required Skills and Qualifications:
- Strong portfolio of automation and AI agent projects (links, demos, or case studies required).
- Practical experience in automation or orchestration platforms such as n8n, LangChain, Make, or custom-built pipelines.
- Working knowledge of MCP server architecture and AI model integration patterns.
- Solid understanding of ML, AI, and data fundamentals including prompt engineering, embeddings, context management, and RAG.
- Experience integrating REST APIs, webhooks, and event-driven workflows.
Preferred Qualifications:
- Experience with vector databases such as Pinecone, Weaviate, or Qdrant and conversational AI frameworks.
- Familiarity with data processing, scheduling, and cloud deployment.
- Understanding of GDPR-conscious data handling and security best practices.
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