AI Automation Engineer
Skills
Amazon Web ServicesAutonomous SystemsBusinessDatabasesEvent DrivenLarge Language ModelsMotors
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of software engineering experience
- 2+ years working with AI/ML systems LLMs or intelligent automation
- Experience with LLM APIs such as OpenAI or Anthropic
- Experience with vector databases and RAG systems
- Experience with workflow orchestration tools
- Strong programming skills
- Experience building API integrations and distributed systems
- Experience deploying systems in AWS GCP or Azure
- Strong problem solving and system thinking skills
Nice to have
- Cross-functional mindset
- Production focus
- Security aware
- Problem solver
- Systems thinker
Day to day
- Design and deploy AI-powered automation solutions that improve operational efficiency and reduce manual work.
- Build agent-based systems prompt pipelines and retrieval-augmented generation workflows that can act across internal tools and APIs.
- Develop scalable workflow automation reusable components and production-ready code with strong observability logging guardrails and monitoring.
- Partner cross-functionally with engineering operations product data and security teams to identify high-impact automation opportunities and ensure safe compliant deployment.