Agentic AI Engineer for Aerospace (Entry Level)
Tasks
- Build AI driven engineering solutions
- Deploy AI solutions on cloud platforms
- Design APIs and orchestrate workflow automation
- Design and develop LLM based intelligent agents
- Develop MBSE workflows using SysML
- Develop RAG pipelines for engineering knowledge
- Develop proofs of concept and technical documentation
- Integrate CAD MBSE and PLM systems
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Life insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
3DExperience | Agent Frameworks | Autogen | Azure | CAA | CATIA | CI/CD | Cameo Systems Modeler | DELMIA | Docker | EKL | EKL macros | Enovia | Git | LLM Agent | LLM agent frameworks | Langchain | Language Models | Large Language Models | Llamaindex | Magic Cameo Systems Modeler | MagicGrid | Mbse | No Magic | No Magic Cameo | No Magic Cameo Systems Modeler | OpenAI | Python | RAG | REST API | Retrieval-Augmented Generation | SysML | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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