AI Automation Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design and build end-to-end AI automation and agentic architectures integrating LLMs, agents, tools, APIs, and MCP.
Develop multi-step AI workflows ensuring context, state management, validation, error handling, and backend API integrations.
Own full lifecycle from requirements through implementation to production deployment of AI automation features.
Minimum Requirements
1–3 years of experience in software engineering or AI application development.
Strong knowledge of agentic architectures, agentic loops, tool/function calling, MCP, context and prompt engineering, workflow orchestration.
Proficient with LLM APIs/SDKs, REST APIs, and programming in Python, JavaScript/TypeScript, or similar languages.
Ability to design end-to-end system architecture and demonstrate strong debugging/problem-solving skills.
Ideal Candidate Profile
Experienced in building practical, production-ready AI automation systems over traditional ML model training.
Capable of independently taking AI use cases from concept and architecture through to production.
Demonstrates strong ownership and deep understanding of how agents, tools, APIs, and application systems integrate at scale.