This role pays more than
88%
of similar roles. Most pay
$178,125–$241,750
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
Sr Python Backend Engineer, AIML joins the AI and Machine Learning team to build world-class data solutions that power the Foundation Model lifecycle. This role involves developing server-side logic, building high-performance backend systems and APIs using frameworks like FastAPI, Django, or Flask, and integrating front-end work with Python applications. The engineer will architect data pipelines, microservices, and cloud-native applications while managing LLM-powered workflows, AI agents, and agentic pipelines. Key technical requirements include proficiency in Python, REST API, Redis, VectorDB, and orchestration tools like Airflow, alongside experience with Docker and Kubernetes. Candidates must also navigate the training lifecycle and integrate GenAI frameworks such as LangChain or LlamaIndex. The role focuses on solving complex data engineering problems and building robust infrastructure to support machine learning research and production-scale backend services.
Design and develop scalable, high-performance backend systems and APIs using Python frameworks like FastAPI, Django, or Flask.
Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
Architect and maintain data pipelines and microservices to support the ML training lifecycle and data engineering workflows.
Integrate third-party web services, LLM APIs, and GenAI frameworks like LangChain or LlamaIndex into platform capabilities.
Translate business requirements into technical designs and robust backend solutions for cross-functional stakeholders.
Implement software development best practices including code reviews, automated testing, and continuous integration.
Monitor, debug, and optimize backend systems for reliability and performance in production environments.
What we're looking for
Bachelor's degree in Computer Science or a related field.
10+ years of extensive backend development experience with solid foundational programming skills like algorithms and data structures.
Expertise in architecting and developing backend systems using Python, specifically with frameworks like FastAPI, Django, or Flask.
Proficiency in REST API, Redis, VectorDB, and other large-scale data storage systems.
In-depth knowledge of workflow orchestration (Airflow), distributed systems, cloud-native applications, and containerization (Docker, Kubernetes).
Experience building and productionizing GenAI applications, including LLM integration, RAG pipelines, and agentic workflows using frameworks like LangChain or LlamaIndex.
Knowledge of Data Engineering, the ML training lifecycle, and large-scale data processing.
Experience with cloud platforms such as AWS or GCP.
Swift
Objective-C
Go
C++
Java
Python
Rust
React
Angular
Vue
JavaScript
SQL
NoSQL
Spark
Hadoop
Kafka
Kubernetes
AWS
Google Cloud
Microsoft Azure
Distributed Systems
Data Pipelines