• Develop NLP systems for processing security and compliance data • Build LLM/RAG pipelines for contextual intelligence generation • Design knowledge graph structures linking risks, controls, and assets • Build scalable AI pipelines for real-time or near-real-time analysis

• Design and develop agentic AI systems and orchestration workflows • Build and optimize RAG pipelines and LLM-based solutions • Convert system descriptions (e.g., P&IDs, technical documentation) into structured Knowledge Graphs • Enhance Knowledge Graphs by integrating real-time and external data sources • Develop KG-to-model mapping logic to generate simulation-ready models • Design and implement pipelines using LLMs, VLMs, and ML/DL models for document understanding • Build and maintain backend services and APIs using Python (FastAPI) • Implement data processing workflows and AI pipelines • Ensure scalability, performance, and observability of systems • Collaborate with cross-functional teams including engineers and domain experts

Role Description We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases. This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time. If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact. Key Responsibilities - Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level - Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases - Quickly deliver functional automation systems for client requirements - Design and improve internal AI infrastructure to reduce reliance on third-party tools - Debug, test, and refine workflows for performance and reliability - Collaborate with an operations/project manager to gather requirements and iterate on solutions - Continuously explore new AI tools and frameworks to improve system capabilities Qualifications - Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude) - Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms - Ability to balance rapid implementation with long-term system scalability - Solid problem-solving skills with experience debugging workflows and integrations - Experience connecting APIs, webhooks, and third-party tools - Clear and professional English communication skills - Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems) Benefits - 💰 Competitive salary based on experience and location - 🌎 Fully remote role with flexible work environment - 🚀 Work on cutting-edge AI automation projects with real business impact - 📈 Strong growth opportunity into senior AI / systems roles - 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design - 🤝 Direct collaboration with a fast-moving, high-performance team

Role Description We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases. This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time. If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact. Key Responsibilities - Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level - Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases - Quickly deliver functional automation systems for client requirements - Design and improve internal AI infrastructure to reduce reliance on third-party tools - Debug, test, and refine workflows for performance and reliability - Collaborate with an operations/project manager to gather requirements and iterate on solutions - Continuously explore new AI tools and frameworks to improve system capabilities Qualifications - Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude) - Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms - Ability to balance rapid implementation with long-term system scalability - Solid problem-solving skills with experience debugging workflows and integrations - Experience connecting APIs, webhooks, and third-party tools - Clear and professional English communication skills - Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems) Benefits - 💰 Competitive salary based on experience and location - 🌎 Fully remote role with flexible work environment - 🚀 Work on cutting-edge AI automation projects with real business impact - 📈 Strong growth opportunity into senior AI / systems roles - 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design - 🤝 Direct collaboration with a fast-moving, high-performance team