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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Seedify | Europe | $84k - $12k | |||
Genies | Remote | $36k - $56k | |||
Genies | Remote | $36k - $56k | |||
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Bangkok, Thailand |
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Solana Foundation | Remote | $98k - $180k | |||
Binance | South East Asia |
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QuickNode | Portugal | $103k - $117k | |||
TradeOS | San Jose, CA, United States | $45k - $90k | |||
Tether | Norway | $115k - $120k | |||
Tether | Croatia | $115k - $120k | |||
Tether | Lisboa, Portugal | $115k - $120k | |||
Tether | Rome, Italy | $115k - $120k | |||
Tether | Stockholm, Sweden | $115k - $120k | |||
Tether | TI Lugano CH | $115k - $120k |
Senior AI Engineer
Europe
Seedworld Studios /
Full-time /
Remote
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We're developing an AI-powered news automation system to streamline news discovery. We’re seeking a Senior Backl-end AI Engineer to architect and develop the workflow engine and integrate AI capabilities.. This isn’t just another coding gig, this is your chance to build something from the ground up that will power the next evolution of crypto .
Tech Stack
Python, LangGraph, FastAPI, PostgreSQL, Redis, LangChain, OpenAI/Claude APIs, Docker, AWS/GCP
Responsibilities
Architect and implement a multi-agent workflow using LangGraphIntegrate LLM APIs (OpenAI, Claude) for automated content generation
Build backend APIs and robust data pipelinesImplement state management and persistence with PostgreSQL and Redis
Integrate external APIs
Required Qualifications
Python – FastAPI, asyncio, Pydantic LangGraph / LangChain – multi-agent workflows, state managementLLM Integration – OpenAI/Claude APIs, prompt engineering
AI Development experience in agent based systems
Database Design – PostgreSQL, Redis
REST API integration with third-party platforms
Experience with agent-based systems or NLP
$7,000 - $12,000 a month
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What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.