About the role

What will you do at Apple?

Are you excited to tackle some of the most ambitious technical challenges in

Apple Intelligence? Be involved in collaborating closely with our machine

learning researchers, engineers, and data scientists? Together, you will

orchestrate groundbreaking research initiatives and develop transformative

products designed to build a significant impact for billions of users worldwide!

The AI and Machine Learning team is looking for Sr Backend Engineer to build

world-class data solutions that are used by data scientists, ML engineers and

researchers to power Apple Foundation Model lifecycle.

DESCRIPTION

We are looking for a skilled Python Backend Engineer to join our development

team.

In this role, you will

be responsible for building and maintaining the
server-side logic. You will be tasked with developing back-end components,
connecting the application with third-party web services, and supporting the
front-end developers by integrating their work with the Python application. Our
ideal candidate must have demonstrated expertise in Python. Knowledge of Data
Engineering & ML domain & training lifecycle is an added plus. You are
comfortable with analyzing business requirements, identifying gaps, and
translating requirements into technical designs. You are proficient and adhere
to the best practices of software development, such as agile development, code
reviews, continuous integration, and automated testing. You have worked closely
with project managers, UI/UX designers, and other cross functional stakeholders
to deliver high quality work on-time. You are well-versed in GenAI tools and
agentic development, with hands-on experience building or integrating
LLM-powered workflows, AI agents, and modern AI-assisted development practices.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field. 10+ years of extensive
backend development experience, with solid foundational programming skills
(algorithms, data structures, OOP, etc) and experience designing, writing,
reviewing, testing and delivering software for applications and systems at
scale. Expertise in architecting and developing backend systems using Python;
extensive experience in FastAPI, Django, or Flask will be great. Proficient in
REST API, Redis, VectorDB or other large scale data storage systems. In-depth
knowledge of workflow orchestration systems like Airflow, distributed systems,
cloud-native applications, and containerization technologies like Docker and
Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle. Experience with
large-scale data processing, distributed systems , microservices, various
caching strategies, and performance optimization. Excellent problem solving
skills and be able to navigate through complex technical challenges and design
decisions. Experience with cloud platforms like AWS or GCP Experience building
and productionizing GenAI applications, including LLM integration, prompt
engineering, RAG pipelines, and agentic workflows using frameworks such as
LangChain or similar tools. Master or Ph.D. in a related field. Previous
experience in a high-growth tech company or similar environment.

Which skills does this role require?

LLM integrationPrompt engineeringRAG pipelinesLangChainBackend EngineeringApple IntelligenceMachine LearningData EngineeringPrompt EngineeringRAGCode ReviewsAWSGCPMicroservicesREST APIsLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Backend engineering jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.