JobHabor

Principal AI Engineer

Cornerstone

Location
Dublin, CA, United States
Workplace
Hybrid
Employment
Full Time
Salary
USD 151,200–241,900/yr
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Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design, build, and operate AI-powered applications
  • Integrate AI capabilities into Java-based backend systems
  • Design scalable API-first services exposing AI capabilities
  • Implement data pipelines supporting feature engineering, RAG, vector search, and inference
  • Apply best practices for prompt design, model orchestration, evaluation, and observability
  • Build and operate cloud-native AI systems on AWS
  • Design containerized workloads using Docker and Kubernetes
  • Optimize systems for scalability, latency, reliability, and cost efficiency
  • Implement Infrastructure as Code using Terraform or AWS CDK
  • Design and operate relational and NoSQL data stores
  • Make informed trade-offs around data consistency, availability, and performance
  • Work with event-driven and asynchronous architectures
  • Lead complex technical initiatives end-to-end
  • Influence system design and engineering standards
  • Mentor senior engineers and raise the overall bar for AI and cloud engineering excellence
  • Collaborate with Product, Data, UX, Security, and DevOps teams

Requirements

  • 8–10 years of hands-on software engineering experience
  • Strong, hands-on experience with Java in backend and distributed systems
  • Mandatory, hands-on experience with AWS
  • Designing and operating cloud-native workloads on AWS
  • Strong experience with SQL and NoSQL databases in production environments
  • 3+ years of experience building AI-powered applications
  • Experience with ML or LLM-based systems
  • Experience with API-first architectures (REST, GraphQL)
  • Hands-on experience with Docker and Kubernetes (EKS)
  • Strong problem-solving skills
  • Ability to own systems end-to-end

Preferred

  • Experience with Generative AI platforms and frameworks (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex)
  • Experience with vector databases and semantic search
  • Familiarity with MLOps practices, model monitoring, and evaluation frameworks
  • Experience working in product-driven, agile environments

Skills

  • Java
  • AWS
  • EC2
  • S3
  • RDS
  • Lambda
  • EKS
  • Docker
  • Kubernetes
  • Terraform
  • AWS CDK
  • SQL
  • NoSQL
  • REST
  • GraphQL
  • LangChain
  • LlamaIndex
  • OpenAI APIs
  • AWS Bedrock

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