The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies
Named one of America's Greatest Startup Workplaces 2026 by Newsweek
A G2 Spring 2026 Leader across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
👩💻 The RoleLocation: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3.
Oyster’s Data Engineering team is building the foundational AI platform layer that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI applications.
As an AI Platform Engineer, you’ll build the shared infrastructure, services, integrations, and developer tooling that sit beneath these applications. You’ll work hands-on with LLMs, AI agents, RAG, tool calling, and AI workflows, leveraging Oyster’s existing AWS/Snowflake data platform to turn AI use cases from experimentation into reliable, production-ready systems.
You’ll partner closely with Engineering, Product, and IT to establish the platform primitives, technical patterns, and guardrails that allow Oyster to build and scale AI securely and effectively.
Key ResponsibilitiesDesign and build reusable platform capabilities for LLM applications, AI agents, RAG, tool calling, and AI workflows.
Build data and knowledge pipelines supporting ingestion, embeddings, retrieval, vector search, metadata, and knowledge management.
Develop secure integrations between AI applications and enterprise data and systems using APIs, MCP, tool calling, and similar patterns.
Build reusable frameworks, libraries, services, and developer tooling so engineering teams can build AI applications without repeatedly solving the same foundational problems.
Establish patterns and standards for AI deployment, observability, evaluation, and lifecycle management, including quality, accuracy, latency, security, reliability, and cost.
Help take AI capabilities from prototype to production, building for reliability, scalability, and maintainability.
Ensure that the AI platform's capabilities meet Oyster’s security, privacy, access control, and data governance requirements.
Evaluate emerging AI models, frameworks, and infrastructure technologies and determine where they can create meaningful value for Oyster.
5+ years in data engineering, platform engineering, backend engineering, or a related discipline, with experience building and operating production systems.
Strong 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.
Strong data engineering fundamentals, including pipelines, data modeling, data quality, and secure data access.
Experience with Snowflake, Databricks, or comparable modern data platforms, plus tools such as dbt, Airflow, or similar.
Experience building shared AI infrastructure, platforms, or reusable AI capabilities, rather than only integrating AI into individual applications.
Experience taking AI systems from experimentation to reliable production.
Solid understanding of security, authentication/authorization, privacy, and data governance.
Strong communicator who can translate ambiguous AI opportunities into practical engineering solutions across teams.
Experience with AWS Bedrock or other managed foundation-model platforms.
Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI to enterprise tools and data.
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 for engineering teams.
A reliable home internet connection (or be able to get one).
Fluent English language skills.
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ so other global teams can learn from us.
How YOU workWith diverse locations, cultures, and needs, we created How YOU Work; a program supporting your whole human experience at Oyster:
Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
Mental health support: Access Plumm, our mental well-being service.
Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email [email protected] with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline.
