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Senior Data & AI Engineer - Find My

Apple· Software and Services
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HyderabadFull-timePosted 1w ago

About the role

Senior data & AI engineer for Apple's Find My team in Hyderabad, focusing on designing and building data pipelines, GenAI and agent-based tools, with privacy by design, enabling engineering, operations and business partners across Find My services.

Responsibilities

  • Design and build end-to-end data pipelines (batch, near real-time, real-time) at scale using technologies such as Kafka, Spark, Flink, Iceberg, Snowflake, Cassandra, or PostgreSQL
  • Develop GenAI-powered applications and agents, including RAG pipelines, embeddings, vector databases, and semantic search over structured and unstructured data
  • Build AI agents or agentic workflows (planning, memory, tool use, execution loops) and multi-agent systems coordinating retrieval, reasoning, and action steps using frameworks such as LangChain, LlamaIndex, or similar
  • Collaborate with product, SRE, privacy and other engineering teams (often remote) and contribute to design and code reviews
  • Ensure privacy by design through data minimization, aggregation, and access controls from day one
  • Take ideas from prototype to production and ship POCs with AI/ML/GenAI services
  • Influence how Find My services scale through data engineering and AI initiatives
  • Partner with teams across hardware, software and privacy to deliver an exceptional user experience

Qualifications

  • 10+ years of experience in software engineering with at least 5 years in data engineering and applied AI/ML engineering
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
  • Ability to thrive in a multi-functional team on high-profile, critical projects
  • Experience designing and building end-to-end data pipelines at scale (batch, near real-time, real-time) with 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 GenAI-powered applications & agents (RAG, embeddings, vector databases, semantic search)
  • Experience building AI agents or agentic workflows (planning, memory, tool use, execution loops), including multi-agent systems (LangChain, LlamaIndex, etc.)
  • Experience with cloud-native data platforms on AWS, GCP or Azure
  • Experience with privacy-preserving analytics techniques (aggregation thresholds, differential privacy)
  • Experience handling sensitive data with privacy controls (data minimization, anonymization, retention, access policies)
  • Excellent analytical, problem-solving, written and verbal communication skills
  • Experience with data governance, lineage, data quality checks and observability tools (OpenTelemetry, Prometheus, Grafana, Splunk)
  • Track record of shipping AI/ML/GenAI POCs to production in a fast-changing environment
  • Experience with location, device telemetry, or IoT data is a plus

Skills

Required:Data pipeline design and engineeringGenAI and AI agent developmentAgent-based workflowsPythonJavaSQL (dimensional modeling)
Nice to have:Data governance and observability

Benefits

  • Not specified in the text
Last updated Oct 16, 2026. Interested? Apply on the company site.

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