Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.\\n\\nAre you passionate about taking AI from prototype to production at scale?\\nDo you enjoy the craft of prompt engineering, retrieval optimization, and grounding?\\nCan you build AI systems that are not just impressive demos, but reliable production tools?\\n\\nThe Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day.
The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable.
4+ years of delivering solutions in AI/ML engineering, NLP, or related roles\nStrong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)\nExperience with LLM APIs (OpenAI, Anthropic, or similar)\nExperience with RAG architectures and vector databases\nUnderstanding of prompt engineering techniques and best practices\nExperience taking AI systems from prototype to production\nExperience with evaluation frameworks for AI systems\nSupporting AI applications in production
Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks\nExperience with agentic AI frameworks (LangGraph, CrewAI, or similar)\nFamiliarity with knowledge graphs and GraphRAG patterns\nExperience with AI evaluation tools (RAGAS, DeepEval, or similar)\nKnowledge of legal domain and legal NLP applications\nExperience with guardrails and safety frameworks (Guardrails AI, NeMo Guardrails)\nUnderstanding of MCP (Model Context Protocol) or similar integration patterns\nExperience deploying and monitoring AI systems at scale\nTrack record of shipping AI products that users rely on
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 36ebb6236e600d3937c16e28565336cd
- Posted 5 hours ago
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