Apple · 5 hours ago
AI Engineer
Austin, TX
Full-time
Onsite
Senior Level
$181K/yr - $272K/yr
7+ years expApple is a leading technology company known for its innovative products and services. They are seeking a dedicated AI Engineer to craft, implement, and operate AI solutions that enhance Apple Sales and improve customer experiences. The role involves building intelligent agents and optimizing AI features within sales data platforms, while collaborating with various teams to drive decision-making tools.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Architect Recommendation System based on agentic frameworks
Architect repository of images to support insights based on diffusion models
Architect agentic summarization framework for scalability
Architect RAG framework for scale
Design modular APIs, SDKs, and microservices to integrate LLMs, retrieval-augmented generation (RAG), traditional ML models, and data pipelines
Drive interoperability with existing ML systems (e.g., forecasting, attribution, anomaly detection) and support downstream apps like dashboards, web tools, and chat interfaces
Partner closely with data science, engineering, and sales ops to embed context-aware intelligence in decision-making tools
Lead technical decision-making on infrastructure components, embedding safety mechanisms (e.g., autonomy sliders, grounding checks, model monitoring)
Build scalable pipelines for multi-modal agent input, memory, and semantic routing
Contribute to hiring and mentoring a cross-functional team of engineers and scientists
Collaborate closely with business teams to incorporate AI into their weekly cadences
Qualification
Required
7+ years of experience in ML, data engineering, or backend development, with recent focus on GenAI and LLMs
Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment
Ability to lead development of AI projects from start to finish
Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales
Proficiency in Python (FastAPI, LangChain, or similar frameworks), prompt engineering, and RESTful API design
Hands-on experience with LLM APIs, embeddings, vector databases, and RAG workflows
Solid grounding in data structures, async programming, and pipeline orchestration
Experience working with monitoring and observability tools (e.g., Prometheus, OpenTelemetry, Weights & Biases)
Bias for action, curiosity, and a collaborative mindset
Familiarity with telemetry and evaluation frameworks for AI agents
Experience working with data science teams on insights generation leveraging LLMs
Knowledge of project management, productivity, and design tools such as Wrike and Sketch
Strong time management skills with the ability to collaborate across multiple teams
Proven experience designing scalable, cloud-native platforms (e.g., AWS, GCP, or on-prem hybrid)
Ability to balance competing priorities, long-term projects, and ad hoc requirements
Ability to work in a fast-paced, dynamic, constantly evolving business environment
B.S Degree in Computer Science/Engineering, or equivalent work experience
Preferred
Strong experience articulating and translating business questions into AI solutions
Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences
Experience with anomaly detection and causal inference models
Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership
Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs
Proficiency with other complementary technologies for distributed systems architecture and asynchronous messaging, agent communication, and catching like RabbitMQ, Redis, and Valkey are preferred
Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase