Opportunity overview
What you should know
We checked this opportunity from Oyster. It is listed as Africa, Europe & United Kingdom.
The work location is Remote — Kenya, Nigeria, Portugal, Romania, South Africa, Spain or United Kingdom. Employer-stated compensation: Salary not included in the job posting.
Job description
About this role
✨ 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. 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…
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.
Qualifications and requirements
- 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.
- Senior engineering role building and scaling AI platform capabilities for Oyster.
The description, responsibilities and qualifications used for this page and its JobPosting data appear above. Use the application action in the Job snapshot to confirm any later changes before applying.
Why you may be eligible
The source lists Africa, Europe & United Kingdom as the eligible location. Confirm that you meet any work-authorization, time-zone and experience requirements.
Career Studio · Early access
Want help preparing your application?
Use this job to tailor your CV and prepare a focused cover letter based on the employer’s requirements.
- Job-specific CV guidance
- Focused cover-letter draft
- You review, edit and submit it yourself
How this listing was checked
- Source status
- Applicant-tracking source confirmed
- Employer or source
- Oyster
- Source checked
- September 9, 2026
- Application destination
- Employer or official applicant-tracking website
- Work setup and location
- Remote · Remote — Kenya, Nigeria, Portugal, Romania, South Africa, Spain or United Kingdom
- Who can apply
- Africa, Europe & United Kingdom · Confirmed by source
- Pay
- Not stated by employer
- Deadline
- Not stated by employer
We check the source and visible requirements, but the employer controls changes and the final hiring decision. Confirm the latest requirements before applying.