Lead Developer

Job summary

• Design and implement AI and GenAI solutions to support automotive engineering and software development.
• Create agentic AI workflows powered by LLMs, RAG, vector databases, and orchestration frameworks.
• Automate engineering tasks including requirements analysis, test generation, log analysis, and traceability.
• Enhance automotive engineering workflows by integrating AI capabilities with automotive tools and enterprise cloud platforms.

Key responsibilities

• Build agentic AI capabilities using LLMs, RAG, LangChain, LlamaIndex, and vector databases.
• Automate requirements analysis, test case generation, test script generation, and log analysis.
• Integrate GenAI solutions with MATLAB, Simulink, Polarion, DOORS, CANoe, ECU-TEST, Jira, and Git.
• Develop scalable AI architecture, governance, and deployment approaches on Azure or AWS.
• Collaborate with Model-Based Development (MBD), Verification & Validation (V&V), Systems, and Embedded Engineering teams.
• Ensure delivered solutions comply with automotive engineering practices, ASPICE, and ISO 26262.
• Enable enterprise-grade deployment by supporting integration, monitoring, and continuous improvement of GenAI solutions.