AI Infrastructure Engineer
SpeechifyFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 5+ years of industry experience in distributed systems or AI infrastructure.
Proficiency in strong programming and data engineering skills with open source & distributed frameworks like AWS, Spark, Flink, Iceberg, DynamoDB is required, along with familiarity in cloud-based data services (AWS, RDS, DynamoDB), containerized infrastructure (EKS, Docker), data streaming (Flink, Spark streaming, CDC), and the tech stack including Spark, AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis), Pytorch, Databricks, Snowflake, and LLM APIs.
This information is not specified in the job description.
This information is not specified in the job description.
Candidates with strong quantitative and engineering skills, experience supporting ML/AI teams with scalable frameworks, expertise in improving LLM responses and evaluation frameworks, and a self-motivated approach with strong ownership of systems will stand out.
Advanced answer engine providing reliable information
Perplexity AI provides an advanced answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both precise and relevant. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking trustworthy data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.