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Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP)

Apple

Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP)

Apple

Sunnyvale, CA

·

On-site

·

Full-time

·

4d ago

We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple's next-generation Generative AI platform. This role blends deep systems thinking, scalable backend development, and cutting-edge GenAI technologies such as Agentic frameworks and Retrieval-Augmented Generation (RAG). You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you're excited about building production-grade GenAI infrastructure and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.

Description:

An ideal candidate should be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. You enjoy learning new technologies and have deep interest in either client/systems software design and programming or server side distributed system software development. You take responsibility; you feel a personal stake in the product you ship and for the end-user of it; you communicate responsibilities and scope clearly.","responsibilities":"Leading effort to build large scale, distributed and highly available system and pipelines.

Enterprise Agent Orchestration: Architect and implement complex, stateful multi-agent workflows using Lang Graph, Google ADK.

Working on problems in an agentic context: distributed state persistence, message consensus between agents (A2A), and handling non-deterministic failures in long-running loops, context engineering, agentic memory

Work with cross functional teams to drive requirements.

Design and implement as per secure guidelines

Work with QA to identify issues and fix it.

Other aspects of the job include mentoring and providing feedback to junior developers, working with the team manager and PM in estimating scope and team capacity, responding to urgent requests from executives or business needs, and maintaining the stability and high reliability of our systems.

Preferred Qualifications:

Strong experience working with Gen Ai based systems Agentic frameworks (e.g., Lang Graph, ADK, AutoGPT) and RAG (Embedding, Chunking, Search).

Experience working with RAG Data ingestion pipelines, Vector DB and data platforms

A2A (Agent-to-Agent): Experience building autonomous agent ecosystems where agents negotiate, share context, and delegate tasks via standardized protocols.

Deep understanding of REST, GraphQL and gRPC APIs, authentication (OAuth, API keys), and distributed systems

Strong grasp of software design principles (SOLID, DRY) and testing frameworks.

Security: Knowledge of "Prompt Injection"/ Guardrail defense and secure context handling (PII redaction)

Excellent written and oral communication skills on both technical and non-technical topic.

Ability to debug complex cross-platform issues and optimize performance.

Ability to articulate technical concepts effectively to diverse audiences

Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues

Minimum Qualifications:

Bachelor's degree in Computer Science or similar degree or equivalent experience

6+ years of software engineering experience in Java or Python

Experience in building, maintaining or enhancing RESTful web services using cloud platforms like AWS or GCP

Extensive understanding and experience with Agentic workflows, LLM's, RAG, and protocols like MCP, A2A

Experience with implementation of complex agentic systems using Lang Graph, ADK, Claude Code, or similar frameworks

Experience working and building MCP servers, extensive experience with prompt engineering and evaluations

Experience in designing scalable, highly available distributed systems which can handle high data volumes

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits:

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

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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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit