Apple
AI/ML Engineer (GenAI), G&A Solutions Engineering (GSE)
Austin, Texas · Full-time · Posted Jun 1, 2026
- Experience
- 2+ years building machine-learning solutions; preferred: 3+ years deploying production-grade AI/ML in FinTech and 2+ years building conversational assistants or autonomous agents.
- Education
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience.
About the job
Build AI/ML capabilities for a next-generation payments platform, applying machine learning and Generative and Agentic AI to transactional data and workflows.
What you'll do
- Modernize product architectures to support observability and autonomous reconciliation, invoicing, and payments workflows.
- Build machine-learning and LLM-based solutions that improve productivity and operational efficiency.
- Apply Generative and Agentic AI to processing financial and transactional data at scale.
What they ask for
- 2+ years building machine-learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering.
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts.
- Hands-on experience fine-tuning LLMs using PEFT/LoRA and building or extending RAG, MCP, or multi-agent frameworks.
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience.
Nice to have
- 3+ years deploying production-grade AI/ML solutions in FinTech.
- Experience with conversational assistants or autonomous agents, LLM lifecycle techniques, emerging AI tools, or explaining AI concepts to business stakeholders.
Tools
PEFT/LoRA, RAG, MCP (Model Context Protocol), LangChain, LlamaIndex, AutoGen, LangGraph, CrewAI
AI focus
Use classical machine learning, Generative AI, and Agentic AI for payments and transactional processing, including LLM fine-tuning, retrieval, and autonomous workflows.
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