AI Automation Engineer — Business Transformation

About the Role

This is not a traditional engineering position.

You will work closely with clients to analyze, redesign, and implement intelligent systems that replace manual operations with scalable, AI-driven workflows.

You will be expected to think beyond code — and into process architecture, efficiency, and leverage.

Key Responsibilities

• Analyze client operations and identify automation and optimization opportunities
• Design and implement AI-powered workflows using LLMs and intelligent agents
• Architect end-to-end systems that integrate across multiple platforms (CRMs, payment systems, internal tools, etc.)
• Build reliable, production-grade automations that directly impact business performance
• Collaborate with stakeholders to translate business requirements into scalable technical solutions
• Continuously refine systems to improve efficiency, accuracy, and resilience

Required Qualifications

• Strong engineering foundation (Python, JavaScript, or similar)
• Proven experience integrating APIs and building interconnected systems
• Hands-on experience with LLMs (OpenAI, Anthropic, etc.) and prompt/system design
• Solid understanding of automation architecture and workflow orchestration
• Ability to structure ambiguous problems into clear, executable systems

Nice to Have

• Experience with frameworks such as CrewAI, n8n, LangChain, and similar
• Familiarity with RAG architectures and vector databases
• Background in consulting, SaaS, or operationally complex environments
• Exposure to multi-system integrations across business functions

What Makes This Role Unique

• You will work on high-impact transformation initiatives, not isolated features
• Each engagement involves re-architecting real business processes, not incremental improvements
• You will gain exposure to diverse industries and operational models
• Your work will directly influence efficiency, scalability, and cost structures of our partners