Software Engineer (Applied AI)

We are looking for a Staff level Software Engineer with experience working with the latest LLM’s from OpenAI, Anthropic, Gemini, Mistral, Llama etc. "and custom fine-tuned models i.e(Defog, Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and experimenting with new approaches to solve existing problems better. \\n\\nThis role will work with and across multiple organizations and functional roles to develop solutions that not only end up in production, but have a significant impact. Some solutions will be stand alone while others will be built on top of existing systems through a deep collaboration. We want someone that has experience taking an idea from the whiteboard to production and then scale it. You are going to get to do that again here. The applications we build are used daily by the people at Apple that design our products along with those that figure out how to make them at scale. This includes; Manufacturing Design Engineers, Product Designers, Mechanical Engineers, Quality Engineers, Supply Chain Managers, along with our Suppliers. We work closely with them to design and architect the best solutions for the challenges faced when making the highest quality hardware products. 10 years in a senior role working across the entire tech stack with a skilled team.\\n10 years building robust APIs and backend services\\nExpert level grasp of at least 1 modern programming language: Go (preferred), Python, Java, etc.\\nExperience building solutions that leverage API’s from the latest LLMs. Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy\\nExperience building robust evaluations for prompt optimization and tuning ML workflows\\nExperience with RAG and modern model in context learning techniques\\nExperience with SQL and database systems such as PostgreSQL\\nExperience with building ETL pipeline in data warehouse such as Snowflake\\nManufacturing experience or exposure is a plus, but not required.aa415a4b-8b21-40fc-a65c-70d2b25ca29a