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Are you passionate about taking AI from prototype to production at scale?

Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding?

Can you build AI systems that are not just impressive demos, but reliable production tools?

The 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.

Description

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.","responsibilities":"Prototype AI solutions to rapidly validate use cases and demonstrate feasibility

Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability

Implement prompt engineering solutions optimized for legal use cases

Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs

Develop context engineering approaches that leverage the semantic layer for improved accuracy

Implement grounding mechanisms to reduce hallucinations and improve factual accuracy

Build evaluation frameworks to measure AI accuracy, relevance, and safety across use cases

Integrate AI capabilities with legal workflows (CLM, matter management, e Billing)

Develop AI agent solutions for automation use cases across legal operations

Implement guardrails and safety mechanisms for production AI systems

Collaborate with AI Architect on system design and technical standards

Support AI Product Developers with APIs, integration patterns, and technical guidance

Preferred Qualifications

Experience with Lang Chain, Llama Index, or similar LLM orchestration frameworks

Experience with agentic AI frameworks (Lang Graph, CrewAI, or similar)

Familiarity with knowledge graphs and GraphRAG patterns

Experience with AI evaluation tools (RAGAS, Deep Eval, or similar)

Knowledge of legal domain and legal NLP applications

Experience with guardrails and safety frameworks (Guardrails AI, Ne Mo Guardrails)

Understanding of MCP (Model Context Protocol) or similar integration patterns

Experience deploying and monitoring AI systems at scale

Track record of shipping AI products that users rely on

Minimum Qualifications

4+ years of delivering solutions in AI/ML engineering, NLP, or related roles

Strong proficiency in Python and ML frameworks (Py Torch, Tensor Flow, or similar)

Experience with LLM APIs (OpenAI, Anthropic, or similar)

Experience with RAG architectures and vector databases

Understanding of prompt engineering techniques and best practices

Experience taking AI systems from prototype to production

Experience with evaluation frameworks for AI systems

Supporting AI applications in production

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.