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About the Role

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.

Responsibilities

Design 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.

Requirements

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.
A reliable home internet connection (or be able to get one).
Fluent English language skills.

Skills

Python
SQL
LLMs
Generative AI
RAG
Embeddings
Vector search
Tool/function calling
AI agents
Enterprise knowledge systems
Data pipelines
Data modeling
Data quality
Secure data access
Snowflake
Databricks
dbt
Airflow
AWS Bedrock
Model Context Protocol (MCP)
LLM evaluation
Observability
AI quality
LangChain
LangGraph
Vector database
AI security
AI governance
Responsible AI
Internal developer platforms
SDKs
APIs
Reusable infrastructure

Location

Remote
UTC−6 to UTC+3

Work Type

Fully remote
Work from home

Experience Level

5+ years

Benefits

Paid time off (40 days per year)
Mental health support (Plumm)
Wellbeing allowance
Flexible parental leave (at least three months paid)
WFH stipend

About the Company

Oyster is building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
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.
Culture and performance are not separate conversations at Oyster.
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.
We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ so other global teams can learn from us.

Equal Opportunity

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 jobs@oysterhr.com with the subject line: Interview Accommodations.