Senior AI Platform Engineer - Oyster

Senior AI Platform Engineer at Oyster

Oyster is building a global employment platform that empowers companies to hire, pay, and care for talent anywhere in the world. We are a remote-first company with a distributed team across 60+ countries.

About the Role

The Data Engineering team at Oyster is seeking a Senior AI Platform Engineer to build the foundational AI platform layer. This role will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI applications. You will work hands-on with LLMs, AI agents, RAG, tool calling, and AI workflows, leveraging our AWS/Snowflake data platform to transition AI use cases from experimentation to reliable, production-ready systems.

You will partner closely with Engineering, Product, and IT to establish platform primitives, technical patterns, and guardrails for secure and effective AI scaling.

Key Responsibilities

• Design and build reusable platform capabilities for LLM applications, AI agents, RAG, tool calling, and AI workflows.
• Construct data and knowledge pipelines for ingestion, embeddings, retrieval, vector search, metadata, and knowledge management.
• Develop secure integrations between AI applications and enterprise data/systems using APIs, MCP, tool calling, and similar patterns.
• Build reusable frameworks, libraries, services, and developer tooling to streamline AI application development.
• Establish patterns and standards for AI deployment, observability, evaluation, and lifecycle management (quality, accuracy, latency, security, reliability, cost).
• Transition AI capabilities from prototype to production, focusing on reliability, scalability, and maintainability.
• Ensure AI platform capabilities meet Oyster's security, privacy, access control, and data governance requirements.
• Evaluate emerging AI models, frameworks, and infrastructure technologies for potential value creation.

Core Requirements

• 5+ years in data engineering, platform engineering, backend engineering, or a related discipline, with experience building and operating production systems.
• Strong proficiency in Python and SQL.
• Hands-on experience building and deploying production applications or services using LLMs / generative AI.
• Experience with RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems.
• Solid data engineering fundamentals, including pipelines, data modeling, data quality, and secure data access.
• Experience with Snowflake, Databricks, or comparable modern data platforms, and tools like dbt, Airflow.
• Experience building shared AI infrastructure, platforms, or reusable AI capabilities.
• Proven experience taking AI systems from experimentation to reliable production.
• Strong understanding of security, authentication/authorization, privacy, and data governance.
• Excellent communication skills to translate AI opportunities into practical engineering solutions.

Bonus Points

• Experience with AWS Bedrock or other managed foundation-model platforms.
• Hands-on experience with MCP (Model Context Protocol) or similar approaches.
• LLM evaluation, observability, monitoring, or AI quality experience.
• Experience with LangChain, LangGraph, or similar frameworks.
• Vector database or search technology experience.
• Experience implementing AI security, governance, or responsible AI practices.
• Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure.

You'll also need

• A reliable home internet connection.
• Fluent English language skills.

About Oyster

Oyster's mission is to create a more equal world of work. We embrace asynchronous, collaborative work and operate with transparency. Our values guide our decisions and culture: Make it happen, Drive change, Build and give trust, Move as one united team.

How YOU work at Oyster

• Work from anywhere: Fully remote with no borders or HQ.
• Paid time off: 40 days off per year (including holidays and vacation).
• Mental health support: Access to Plumm.
• Wellbeing allowance: Monthly allowance via ThanksBen.
• Flexible parental leave: At least three months' paid leave for new parents.
• WFH stipend: For laptop and home office equipment.

We encourage you to apply even if you don't meet every criterion. Oyster is committed to equal opportunity and fostering an inclusive work environment. If you require accommodations during the recruiting process, please email jobs@oysterhr.com.