233 jobs for "AI Engineer (Agentic AI)"

Data Engineer (Agentic AI, LLM Training), G&A Solutions Engineering (GSE)

At Apple - Austin

Posted on Oct 19

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Engineer II - Senior Agentic AI IGA Developer

At TD Bank - Toronto

Posted on Oct 30

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AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)

At Capital One - McLean · San Francisco

Posted on Nov 8

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AI Engineer (Agentic AI)

At Navy Federal Credit Union - Vienna

Posted on Oct 17

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Principal Engineer - Agentic AI Engineering

At Bank of America - Charlotte

Posted on Nov 6

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Principal Engineer - Agentic AI Engineering

At Merrill - Charlotte

Posted on Nov 6

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Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

At Capital One - New York · San Francisco

Posted on Nov 5

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Machine Learning Engineer - Agentic AI

At Apple - Sunnyvale

Posted on Oct 19

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AI Engineer - Algorithm Evaluation & Agentic Systems

At Apple - Sunnyvale

Posted on Oct 12

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AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG)

At Capital One - New York · San Francisco

Posted on Oct 30

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Senior AI Engineer - Agentic AI & Generative AI

At DTCC - Jersey City

Posted on Nov 5

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Software Development Engineer I - Agentic AI, ArcGIS Enterprise

At Esri - Redlands

Posted on Nov 4

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AI Engineer 4 (Gen AI Platform Services: Agentic Systems)

At Capital One - San Francisco · McLean

Posted on Oct 30

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Software Engineer (Agentic AI), AI & Data Platforms

At Apple - Austin

Posted on Oct 9

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AI Engineer 4 (Gen AI Platform Services: Agentic AI)

At Capital One - New York · San Francisco

Posted on Oct 28

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AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - San Jose · San Francisco

Posted on Oct 22

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AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - San Jose · San Francisco

Posted on Oct 22

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AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - McLean · San Francisco

Posted on Oct 21

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AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)

At Capital One - New York · San Francisco

Posted on Oct 19

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Machine Learning Engineer - Agentic AI

At Apple - Sunnyvale

Posted on Oct 12

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Apple

Data Engineer (Agentic AI, LLM Training), G&A Solutions Engineering (GSE)

Austin, TXPosted 19 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.

Description

The iRecon Payments team is seeking a highly motivated Data Engineer with a strong background in Data Science to drive our Agentic AI initiatives. In this role, you will build robust data pipelines, extract features, and curate high-quality datasets to train custom LLMs. You will navigate complex financial ecosystems to modernize data flows, ensuring accurate reconciliation, invoicing, and payments. You will play a critical role in building GenAI-powered solutions that improve user productivity and operational efficiency.","responsibilities":"Design and build scalable data pipelines to enable Agentic AI solutions and custom LLM training

Perform advanced feature engineering and dataset curation to optimize model performance

Build upstream/downstream integrations with MCP (Model Context Protocol), Knowledge Graphs, and Vector

Databases to support context engineering and retrieval (RAG)

Work with large-scale financial transaction data to ensure precision in reconciliation, disbursements, and receipts

Partner with cross-functional teams to translate business requirements into technical AI solutions

Preferred Qualifications

3+ years of experience building production-grade AI/ML solutions in the FinTech domain

Strong written and verbal communication skills with the ability to articulate complex technical concepts

Demonstrated ability to modernize legacy data systems and adapt to new AI architectures

Experience with "Human-in-the-loop" data workflows for financial operations

Demonstrated ability to quickly learn and adapt to new technologies and tools

Minimum 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

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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