J

AI Engineer (Remote, International)

Jobgether • Estonia
Remote
This Job is No Longer Active This position is no longer accepting applications

This role involves designing and deploying AI-driven components to enhance internal workflows and user-facing experiences. The ideal candidate will have strong Python programming skills and experience with AI/ML systems. Collaboration with cross-functional teams is essential to identify and deliver AI use cases.

Key Highlights
Building and scaling AI systems powered by large language models
Designing and deploying AI-driven components
Collaboration with cross-functional teams
Key Responsibilities
Design, build, and maintain LLM-powered AI components
Develop systems spanning data retrieval, embeddings, conversational interfaces, and intelligent automation workflows
Experiment with and evaluate new AI models, frameworks, and architectures
Technical Skills Required
Python SQL Machine Learning
Benefits & Perks
Competitive compensation
Remote-first international work environment
Opportunity to work on large-scale AI systems
Nice to Have
Experience with Java
Time-series analysis
Large-scale advertising or real-time systems

Job Description

This role sits within a high-performance engineering environment focused on building and scaling AI systems powered by large language models and real-time data. You will work on designing and deploying AI-driven components that enhance internal workflows and user-facing experiences, spanning data retrieval, conversational interfaces, and intelligent decision systems. The work operates at the intersection of machine learning, distributed systems, and advertising technology, where performance, scale, and latency are critical. You will also contribute to improving underlying data infrastructure to support LLM-based applications and evolving AI workloads. This is a highly collaborative role involving engineers, analysts, and product teams, with strong emphasis on experimentation and rapid iteration. You will have significant autonomy to explore emerging AI frameworks while helping define the long-term technical direction of generative AI systems.
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