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Senior Data & AI Platform Engineer, AWS, Snowflake, Vector Search

Platform EngineerPlatform EngineerFull TimeRemoteTeam 11-50Since 2021Company SiteLinkedIn

Location

United States

Posted

14 days ago

Salary

Not specified

5 yrs expEnglishAWSDistributed SystemsETLPython

Job Description

• Design and build data-driven tools that operate on large datasets stored in S3 and Snowflake • Implement pipelines that: • Extract specific columns or datasets from Snowflake • Generate vector embeddings via APIs such as OpenAI • Store and manage embeddings in vector databases like Pinecone • Enable semantic search and similarity-based retrieval • Develop enrichment workflows that: • Query structured data • Use LLM APIs to generate new derived columns • Write enriched results back into Snowflake • Build reusable internal services and SDKs around embedding generation, prompt orchestration, and data augmentation • Optimize performance and cost across AWS infrastructure • Work closely with product and data teams to turn use cases into scalable engineering solutions • Ensure reliability, observability, and maintainability of AI-powered pipelines

Job Requirements

  • 5+ years of software engineering experience
  • Strong backend engineering skills (Python preferred; other modern languages acceptable)
  • Solid experience with:
  • AWS (IAM, Lambda, ECS/EKS, S3, networking, security best practices)
  • Data warehousing (Snowflake preferred)
  • API design and distributed systems
  • Hands-on experience working with LLM APIs (e.g., OpenAI) and embedding workflows
  • Experience with vector databases (Pinecone or similar)
  • Strong understanding of data modeling, ETL/ELT patterns, and performance optimization
  • Production experience in at least one startup environment
  • Ability to operate independently and ship high-impact systems end-to-end

Benefits

  • Work on practical, production-grade AI systems
  • Direct impact on how data is leveraged across the company
  • Startup speed with real ownership and autonomy
  • Opportunity to define the internal AI platform from the ground up

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