HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HARMAN: Produces connected technologies and audio systems for vehicles and consumers.
6+ YOE6+ years building production software, data, or AI solutions; strong Python experience; hands-on GenAI/LLM work (RAG, prompt engineering, agents); familiarity with Microsoft Fabric/Azure and enterprise data platforms.
Python, Node.js, LangChain, LlamaIndex, Transformers, PyTorch, TensorFlow, Microsoft Fabric, Microsoft Azure, Microsoft Azure OpenAI, Microsoft Power Platform, Microsoft Copilot Studio, Microsoft 365, SQL, NoSQL, Databricks, Docker, Kubernetes, CI/CD, OpenAI, Anthropic, AWS Bedrock, AWS, GCP, MCP, Meta/Llama, Mistral
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
8+ YOEBachelor's in CS/Data Science or related; 8+ years software engineering with 3-5 years AI/ML; proficiency in Python, TensorFlow, Scikit-learn, RAG; strong statistics, ML/deep learning, cloud and DevOps experience; proven production deployments.
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
3+ YOEDesign and build LLM-powered AI applications; strong software engineering skills; 3+ years professional development experience; Python or JavaScript; experience with LLM APIs, RAG, and cloud integrations.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
3+ YOEDevelop production-ready AI applications using LLMs, build backend services and UIs, integrate LLM APIs, implement RAG, and collaborate with cross-functional teams; requires strong software engineering and AI application experience.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
8+ YOEBachelor's in CS/Data Science/AI required (advanced degree preferred). 8+ years software engineering with 3–5 years AI/ML experience. Proficiency in Python, ML libraries, cloud, DevOps, Git, CI/CD, and production deployment experience.