AI Automation Engineer/AI Agent Developer/Dot NET Developer (SQL Serve
Summary
Designs and builds AI-powered workflow automations and agents using Python, LLM APIs, and tools like n8n or CrewAI to integrate systems and streamline business processes.
Role & responsibilities
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
Preferred candidate profile
BE / Btech - IT