Live opening · Posted 1 day ago

Artificial Intelligence Engineer

DeepAdapt · Türkiye (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyDeepAdapt
LocationTürkiye (Remote)
Work modeYes
SkillsArtificial Intelligence, Python
SourceLinkedin
ListedPosted 1 day ago

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About the role

Description supplied by the original job listing.

About Us
We are a new AI startup in London and California built around significant proprietary intellectual property and a clear ambition: to help define what comes next in artificial intelligence.
We believe the next foundational challenge in AI is enabling systems to continue learning after deployment—to adapt to new information, experience, and feedback during runtime while preserving and building on what they already know.
Our work in adaptive continual learning directly addresses this challenge. We believe the technology we have developed can help shape the next chapter of AI and change how intelligent systems learn, operate, and evolve in the real world.
We are looking for an exceptional engineer who wants to turn this foundation into working technology and play a meaningful role in building the company around it.
The Role
We are seeking an AI Engineer based in Türkiye, preferably in Ankara, with strong communication skills and demonstrated experience building Model Context Protocol (MCP) servers, integrations, and agent gateways.
You will work on the engineering foundations of our AI systems: connecting agents with tools and data, developing learning and memory capabilities, and translating proprietary concepts into reliable implementations.
This is a hands-on role with substantial ownership. Your ideas, judgment, and execution will help shape both the technology and our engineering practices.
What You Will Do
Develop AI applications and agent systems supporting adaptive continual learning.
Build MCP servers, clients, and integrations connecting agents to tools, data, and services.
Develop agent gateways for model routing, tool access, orchestration, and monitoring.
Implement and evaluate memory, retrieval, and feedback-driven adaptation.
Translate research concepts and proprietary methods into practical, testable systems.
Improve reliability, performance, and maintainability.
Communicate technical decisions, progress, and results clearly.
What You Bring
Hands-on experience building AI applications and agent infrastructure.
Demonstrated experience with MCP development and agent gateways.
Strong Python skills and experience with backend services, APIs, and modern AI frameworks.
A solid understanding of machine learning and an interest in continual learning.
Sound engineering practices, including testing, documentation, and systematic debugging.
Excellent written and spoken English, with the ability to explain complex ideas clearly.
Initiative, accountability, and the ability to work independently while collaborating closely.
Why Join Us
You will join at a formative stage, work directly with substantial proprietary technology, and influence important technical decisions. We welcome people who bring curiosity, communicate openly, and take pride in building systems that work. If you want to help advance how AI learns, we would like to hear from you.

Work arrangement
Yes

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