Senior Software Engineer, Environment and Supply Chain Innovation
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.
Responsibilities:
Design and build complex agentic systems using LLMs, including RAG pipelines, prompt engineering, evaluation frameworks, and inference endpoints
Develop and maintain backend services supporting ML workloads - data ingestion, model evaluation, and production inference
Design and maintain cloud infrastructure (Kubernetes, Terraform) to support AI workloads and application deployments
Write well-tested, production-ready code with attention to reliability, performance, and developer experience
Support the data engineering team with scalable infrastructure for ELT pipelines and data warehousing
Contribute to observability, monitoring dashboards, and tooling for ML systems
Collaborate with cross-functional teams to translate business requirements into technical solutions and strategies
Participate in design reviews, code reviews, and establish engineering best practices via ADRs and knowledge sharing
Communicate and present technical solutions, strategy, and roadmaps to ESCI stakeholders and leadership
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
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)
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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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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