AI Automation Engineer / AI Agent Developer / Dot NET Developer
Summary
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Designs and builds automated business workflows Integrates applications using APIs Automates repetitive processes Uses workflow tools like n8n Make Zapier Power Automate Focuses on process efficiency
AI Automation Engineer Responsibilities
- Analyze business processes to identify automation opportunities
- Design and implement end-to-end automated workflows
- Integrate third-party systems using REST APIs and webhooks
- Develop scripts using Python or JavaScript where needed
- Connect AI services LLMs OCR speech-to-text into workflows
- Monitor troubleshoot and optimize automations
- Implement logging security and error handling
- Create documentation and train end users
Typical skills
- Workflow automation platforms n8n Make Zapier Power Automate
- Python or JavaScript
- REST APIs and webhooks
- SQL and databases
- Git
- Cloud platforms AWS Azure Google Cloud
- Basic prompt engineering
AI Agent Developer Responsibilities
- Build AI agents powered by large language models
- Design prompts tools and memory for AI agents
- Integrate AI agents with external APIs and business systems
- Develop retrieval-augmented generation RAG applications
- Optimize agent performance reliability and cost
- Implement safeguards permissions and human-in-the-loop workflows
- Evaluate agent quality using testing frameworks and benchmarks
- Deploy and maintain AI applications in production
Typical skills
- Python
- LLM APIs
- Prompt engineering
- RAG and vector databases
- MCP agent frameworks and orchestration tools
- LangGraph CrewAI AutoGen or similar frameworks
- REST APIs
- Docker and cloud deployment
- Security and AI governance
Common Responsibilities
- Both roles often build AI-powered business solutions
- Integrate enterprise applications
- Work with APIs and databases
- Deploy cloud-based applications
- Automate manual processes
- Collaborate with business stakeholders to understand requirements
- Document solutions and maintain production systems
Typical Deliverables
- AI chatbots and virtual assistants
- Customer support automation
- Document processing pipelines
- Email and ticket automation
- CRM and ERP integrations
- AI agents that can perform tasks using business tools
- Analytics dashboards and automated reporting
- End-to-end business workflow automations
In many organizations especially smaller teams one person may perform both roles building automated workflows while also developing
BE / Btech - IT