AI/ML Engineer (GenAI), G&A Solutions Engineering (GSE)
Apple· G&A Solutions Engineering (GSE)
Hybrid (Austin, TX)Full-timePosted 7mo ago
About the role
AI/ML Engineer focusing on GenAI and agentic AI within iRecon Payments to modernize reconciliation, invoicing, and payments processing at scale. Combines classical ML with Generative AI to improve observability, autonomous workflows, and productivity across financial data and AI tools.
Responsibilities
- Act as a technical catalyst, modernizing complex product architectures to enable full observability and autonomous workflows for reconciliation, invoicing, and payments
- Navigate the intersection of financial data and Large Language Models to drive productivity and operational efficiency
- Build next-generation payments platform leveraging AI/ML and Generative AI capabilities
- Develop and extend RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
- Work with transformer/Large Language Models concepts and fine-tuning for domain-specific tasks
- Collaborate with stakeholders to explain AI concepts and impact to business teams
Qualifications
- 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts
- Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks
- Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience
- 3+ years deploying production-grade AI/ML solutions in the FinTech domain
- 2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection)
- Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO)
- Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks
- Strong written and verbal communication skills to explain complex AI concepts to business stakeholders
Skills
Required:Machine Learning
Benefits
- Apple is an equal opportunity employer; accessibility and accommodations information provided in job posting
Last updated Jun 26, 2026. Interested? Apply on the company site.
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