Lead Developer

Job Summary

AI Engineer

Responsibilities

• Design and implement AI GenAI solutions for automotive engineering use cases.
• Develop agentic workflows using LLMs RAG vector databases and AI orchestration frameworks.
• Automate requirements analysis test case generation test script generation log analysis and traceability.
• Integrate AI solutions with engineering toolchains such as MATLAB Simulink Polarion DOORS CANoe ECU-TEST Jira and Git.
• Define scalable AI architecture governance and deployment strategy on Azure/AWS.
• Collaborate with MBD V&V Systems and Embedded Engineering teams to industrialize AI solutions.
• 5-10 years in Automotive Software MBD V&V or Systems Engineering.
• Hands-on experience with Python and AI ML frameworks.
• Experience with LLMs RAG LangChain LlamaIndex Vector DBs and Agentic AI architectures.
• Strong understanding of Automotive V-Cycle ASPICE and ISO 26262.
• Experience with MATLAB/Simulink CANoe ECU-TEST DOORS/Polarion or similar automotive tools.
• Knowledge of Azure OpenAI AWS Bedrock or equivalent AI platforms.
• Exposure to deployment of enterprise GenAI solutions in engineering environments.