The Environment and Supply Chain Innovation (ESCI) team sits within Worldwide Operations and works to uphold Apple's values across our global supply chain. The ESCI Technology Solutions team is seeking an experienced AI and infrastructure engineer to join us. You'll work alongside other software and data engineers in collaboration with our internal and external users to build applications that help support ESCI's goals which include upholding the highest standards of labor and human rights for the people in our supply chain and Apple 2030 - Apple's goal to be carbon neutral across our global footprint by 2030.
Description
As a Senior AI and Infrastructure Engineer, you will be a hands-on technical leader responsible for designing, building, and supporting AI-powered systems and the infrastructure behind them. You'll develop agentic systems, ML-backed services, and production pipelines while partnering with cross-functional teams to coordinate the complex interdependencies inherent in platform development. This role requires excellent communication skills - you'll collaborate with ESCI subject matter experts from a variety of disciplines to craft requirements, strategy, and architectural patterns that deliver high-impact solutions.
Minimum Qualifications
7+ years of software engineering experience, with expertise in backend technologies and AI/ML systems
Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent industry experience)
Proven experience building complex agentic systems using LLMs
Strong programming skills in Python; proficiency with backend API service development
Hands-on experience with Kubernetes and Infrastructure as Code (Terraform)
Familiarity with ML concepts including model inference, evaluation, data pipelines, and LLM application development
Experience with a cloud data warehouse - Snowflake preferred (warehouses/roles, performance tuning, cost management)
Experience developing ELT pipelines and orchestrating transformations (dbt Cloud, Airflow, Dagster, or similar)
Strong proficiency in database technologies and CI/CD solutions
Excellent communication skills and ability to collaborate with both technical and non-technical teams
Experience leading technical projects and mentoring engineers via PR review, collaboration, and ADRs
Preferred Qualifications
Experience with RAG architectures, prompt engineering, evaluation pipelines, and agentic workflows
Familiarity with ML frameworks such as PyTorch, Hugging Face, or LangChain
Experience working on platform engineering or developer experience platforms
Experience with data engineering practices including dbt, Snowflake, Databricks, and building data marts for analytics
Proficiency in JavaScript/TypeScript for tooling and web application development
Experience with CQRS/ES architecture patterns
Knowledge of observability tools and practices (Telemetry, Prometheus, Grafana)
Experience with GitOps workflows and deployment automation
Collaborative mindset with keen interest in keeping up with the latest in the industry
Ability to work independently on scoped features with minimal supervision
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 8a3089d97a9b64286b707a5075bae121
- Posted 3 days ago
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