Vehicles are becoming software-defined, data-rich platforms — generating massive real-time telemetry across performance, diagnostics, safety, and environment. A fast-growing automotive software company is building AI and agent-based systems that help manufacturers turn this data into intelligent, real-time insights and automated vehicle support. They are hiring a Senior / Staff AI Engineer to lead advanced applied AI initiatives in this space.
Role
Lead end-to-end AI development for production systems that combine LLMs, RAG, time-series, computer vision, and classical ML. This is a hands-on senior role requiring both breadth and depth across ML/AI, with impact on real-world, large-scale deployments.
What You’ll Do
- Build and deploy AI models and services end to end
- Apply LLMs, RAG, retrieval, and agent-style AI systems
- Work across multiple AI domains (LLM, CV, time-series, ML)
- Fine-tune large models for domain use cases
- Design vector search and retrieval pipelines
- Turn large, complex datasets into production AI solutions
- Partner with cross-functional teams to deliver scalable systems
Requirements
- 7+ years in ML/AI engineering or applied AI
- Strong breadth + depth across ML/AI techniques
- Experience with LLMs and modern AI stacks
- Python or C++ plus PyTorch / Scikit-learn / data tooling
- Vector DB & retrieval stacks (FAISS, HNSW, Chroma, Elasticsearch)
- Data engineering tools (Spark, Databricks, Dataflow) + SQL
- Parallelization and production deployment experience
- Strong software engineering practices
Strong Plus
- Automotive, mobility, embedded, or edge AI experience
- AI in safety-critical or large-scale production systems