Apple
Overview
The Developer Experience Platform team builds the frameworks services and AI tools that help Apples enterprise developers move faster through the software development lifecycle. Were creating a new AI-powered developer platform that brings together ai agents and autonomous workflows to support how apps are built across is a hands-on engineering role with broad impact. Youll contribute to building the backbone of our agentic AI platform balancing reliability and scale with experimentation and right candidate has strong backend and distributed systems expertise practical experience with AI agents and a focus on building reliable systems.
Qualifications
Bachelors degree in Computer Science Artificial Intelligence Machine Learning or a related field or equivalent practical experience
4 years of industry experience in software engineering or machine learning
Hands-on experience building AI agents with Large Language Models (LLMs) including Retrieval-Augmented Generation (RAG) using frameworks such as LangChain LangGraph Pydantic AI or CrewAI
Strong programming skills in multiple languages (e.g. Python Java Go or TypeScript) with solid experience designing and developing distributed systems backend services and APIs in production environments
Familiarity with deploying and operating services in cloud environments (AWS GCP or Azure) including containerization (Docker) and orchestration (Kubernetes)
Experience with CI / CD pipelines and MLOps practices for deploying scaling and monitoring LLM-powered services
Background in building REST or GraphQL APIs microservices and event-driven systems
Knowledge of vector databases memory systems and human-in-the-loop workflows
Strong collaboration skills with the ability to work effectively across ML research platform engineering and product teams
Additional Information Required Experience :
Unclear Seniority
Employment Type :
Full Time
Experience :
years
Vacancy :
1
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Qualifications
Bachelors degree in Computer Science Artificial Intelligence Machine Learning or a related field or equivalent practical experience
4 years of industry experience in software engineering or machine learning
Hands-on experience building AI agents with Large Language Models (LLMs) including Retrieval-Augmented Generation (RAG) using frameworks such as LangChain LangGraph Pydantic AI or CrewAI
Strong programming skills in multiple languages (e.g. Python Java Go or TypeScript) with solid experience designing and developing distributed systems backend services and APIs in production environments
Familiarity with deploying and operating services in cloud environments (AWS GCP or Azure) including containerization (Docker) and orchestration (Kubernetes)
Experience with CI / CD pipelines and MLOps practices for deploying scaling and monitoring LLM-powered services
Background in building REST or GraphQL APIs microservices and event-driven systems
Knowledge of vector databases memory systems and human-in-the-loop workflows
Strong collaboration skills with the ability to work effectively across ML research platform engineering and product teams
Additional Information Required Experience :
Unclear Seniority
Employment Type :
Full Time
Experience :
years
Vacancy :
1
#J-18808-Ljbffr