Key Requirements 7+ years' software engineering experience Expert Python development skills Strong experience with LLMs, Generative AI, AI Agents, RAG, Prompt Engineering and AI Evaluation Experience building and operating production AI solutions Strong API, Microservices, Cloud and Kubernetes expertise Snowflake data engineering and integration experience CI/CD, Infrastructure as Code, automated testing and observability Proven ability to design secure, scalable enterprise platforms Advantageous Snowflake, AWS, Kubernetes or Terraform certifications Experience with LangChain, LlamaIndex, vector databases and semantic search Kafka, Spark and cloud-native engineering Responsible AI, governance and data privacy expertise Automotive, mobility or manufacturing industry experience What You'll Do Build reusable AI platform capabilities and engineering standards Develop AI agents, RAG solutions, tool integrations and guardrails Drive AI-native software engineering practices Engineer Snowflake data products and integrations Provide technical leadership, mentoring and architecture guidance Support production deployments, monitoring and continuous improvement