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Senior AI Platform Engineer
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Oyster HR·EMEA·18 авг.

Senior AI Platform Engineer

🏢 ОфисSeniorПолная занятость
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Наша компания

✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY 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.

О роли

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

Чем предстоит заниматься

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

Наши требования

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
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

Дополнительно

A reliable home internet connection (or be able to get one)
Fluent English language skills
HOW WE WORK TOGETHER 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. 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 WORK
With 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
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
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
Our available positions are on our careers page. Our team will only contact you from an .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 please report it via our Compliance and Ethics Helpline
O
Oyster HR
EMEA

ГрейдSenior
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано18 авг.
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