Siri Language Technologies team is looking for a resourceful Full-stack Engineer who will drive the design and implementation of the annotation tooling data pipeline and web services to support the development of next-generation NLU technologies. You will be working directly with NLU data scientists and modeling engineers to interpret requirements and make informed design decisions.
- BS MS in Computer Science Computer Engineering or equivalent degree with applicable experience
- Experience designing building and maintaining APIs (GraphQL preferred) and cloud technologies (Kubernetes and AWS preferred).
- Proficient coding skills in the back-end data manipulation and scripting languages (e.g. Python Swift Golang)
- Proficient in SQL and NoSQL databases to build solutions for large scale systems (e.g. PostgresSQL DynamoDB Elasticsearch/OpenSearch &AWS Iceberg)
- Experience with web programming languages (e.g. Typescript/Javascript NodeJS CSS) and modern frontend/web library/framework (React Redux NextJS)
- Some experience in building highly available production services including deployment automation and scaling
- Excellent grasp of the fundamentals of software engineering
- Proficient knowledge of Git
- Experience with large-scale distributed data processing (e.g. Hadoop Spark Kafka)
- Demonstrates experience architecting and integrating Large Language models into production grade full stack applications data pipelines or agents workflows utilizing APIs such as OpenAI Anthropic Claude & HuggingFace for open source models
- Hands-on experience leveraging AI-assisted development environments and code generation tooling (e.g. Claude code Cursor GPT-based agent playgrounds) to accelerate prototyping improve engineering velocity and enhance developer productivity
Siri Language Technologies team is looking for a resourceful Full-stack Engineer who will drive the design and implementation of the annotation tooling data pipeline and web services to support the development of next-generation NLU technologies. You will be working directly with NLU data scientists...
Siri Language Technologies team is looking for a resourceful Full-stack Engineer who will drive the design and implementation of the annotation tooling data pipeline and web services to support the development of next-generation NLU technologies. You will be working directly with NLU data scientists and modeling engineers to interpret requirements and make informed design decisions.
- BS MS in Computer Science Computer Engineering or equivalent degree with applicable experience
- Experience designing building and maintaining APIs (GraphQL preferred) and cloud technologies (Kubernetes and AWS preferred).
- Proficient coding skills in the back-end data manipulation and scripting languages (e.g. Python Swift Golang)
- Proficient in SQL and NoSQL databases to build solutions for large scale systems (e.g. PostgresSQL DynamoDB Elasticsearch/OpenSearch &AWS Iceberg)
- Experience with web programming languages (e.g. Typescript/Javascript NodeJS CSS) and modern frontend/web library/framework (React Redux NextJS)
- Some experience in building highly available production services including deployment automation and scaling
- Excellent grasp of the fundamentals of software engineering
- Proficient knowledge of Git
- Experience with large-scale distributed data processing (e.g. Hadoop Spark Kafka)
- Demonstrates experience architecting and integrating Large Language models into production grade full stack applications data pipelines or agents workflows utilizing APIs such as OpenAI Anthropic Claude & HuggingFace for open source models
- Hands-on experience leveraging AI-assisted development environments and code generation tooling (e.g. Claude code Cursor GPT-based agent playgrounds) to accelerate prototyping improve engineering velocity and enhance developer productivity
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