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Apple

Designs phones, computers and their operating systems

Senior Data & AI Engineer - Find My

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • 10+ years of experience in software engineering, including at least 5 years in data engineering and applied AI/ML engineering.
  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Ability to thrive in a multifunctional team on high-profile, critical projects.
  • Experience designing and building end-to-end data pipelines at scale, including batch, near-real-time, and real-time pipelines, using technologies such as Kafka, Spark, Flink, Iceberg, Snowflake, Cassandra, or PostgreSQL.
  • Programming proficiency in Python and Java, and advanced SQL skills including dimensional data modeling.
  • Demonstrated experience building generative AI-powered applications and agents, including retrieval-augmented generation pipelines, embeddings, vector databases, and semantic search over structured and unstructured data.

Responsibilities

  • Design and build the data pipelines behind Find My services and the generative AI and agent-based tools that put that data to work for engineering, operations, and business partners.
  • Build with data minimization, aggregation, and access controls from day one, with privacy at the core of Find My.
  • Take ideas from prototype to production.
  • Partner with product, site reliability engineering, privacy, and other engineering teams, and contribute to design and code reviews.

Desired Qualifications

  • Experience building AI agents or agentic workflows, including planning, memory, tool use, execution loops, and multi-agent systems coordinating retrieval, reasoning, and action steps, using frameworks such as LangChain, LlamaIndex, or similar.
  • Experience with cloud-native data platforms on AWS, GCP, or Azure.
  • Experience with privacy-preserving analytics techniques such as aggregation thresholds or differential privacy.
  • Experience handling sensitive or personal data with privacy controls such as data minimization, anonymization, retention, and access policies.
  • Experience with data governance, lineage, data quality checks, and observability tools such as OpenTelemetry, Prometheus, Grafana, or Splunk.
  • Track record of shipping proofs of concept with AI/ML/generative AI services and taking them to production while managing ambiguity in a fast-changing, matrixed environment.
  • Experience with location, device telemetry, or IoT data.

About the Company

Apple

Designs phones, computers and their operating systems

Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.

Company size
10,001+
Company stage
IPO
Headquarters
Cupertino, CA
Founded
1976

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