Principal AI Engineer
Cornerstone
- Location
- Dublin, CA, United States
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- USD 151,200–241,900/yr
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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