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Apple US AI Software Engineer United States, West Virginia 337894577
05.09.2025
We’re looking for a hands-on AI Software Engineer to build the glue between AI services and the surfaces that matter—whether it’s dashboards, web interfaces, internal tools, or real-time APIs. You’ll work across LLM agent endpoints, front-end triggers, and platform APIs to bring AI experiences to life with performance and reliability.This role will operate in both capacities, to augment existing AI roadmap, as well as innovate and trailblazing new frontier tech projects, crafting AI experiences that reduce time to insights and catalyze decision making.
In this role, you will:
- 8+ years of experience in Software Development, ML, and/or data science 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 Software from start to finish.
- Strong JavaScript expertise. Experienced in Front-end development using React, and API development with Express.
- Experience building REST/GraphQL APIs and integrating with external services
- 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).
- 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).
- Able to balance competing priorities, long-term projects, and ad hoc requirements.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
- Familiarity with Gen AI paradigms.
- B.S Degree in Computer Science/Engineering, or equivalent work experience.
- 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.
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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