AI ENGINEER
Design and develop Agentic AI solutions focused on process automation and complex problem-solving. Integrate AI models into enterprise applications while collaborating with technical and business teams.
7 AI Engineer jobs in Armenia available for remote work from home. Apply for positions such as AI ENGINEER, Staff AI Engineer- Developer Tools, Cloud AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and develop Agentic AI solutions focused on process automation and complex problem-solving. Integrate AI models into enterprise applications while collaborating with technical and business teams.
You will design and implement AI-powered features and workflows for CLion, focusing on integrating coding agents into the C++ development environment. The role involves collaborating with cross-functional teams to define the technical roadmap and architecture for AI-assisted software development.
Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments. Manage and maintain AI systems while ensuring seamless integration and performance monitoring.
Lead the design and development of shared libraries, Spring Boot starters, and agentic frameworks to enable internal teams to build AI agents. Mentor product teams in Python-based AI development and establish standards for agent orchestration, evaluation, and guardrails.
Develop production-ready coding agents and agentic workflows by integrating internal and open-weight models into JetBrains products. Design the agent loop, create evaluation suites, and establish feedback loops to improve model behavior based on real-world usage.
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Design and implement backend services and APIs using Python and Django while modeling clean database schemas. Implement complex algorithmic logic for scoring, ranking, and routing to turn product ideas into technical endpoints.
Drive the adoption of AI-assisted development by coaching engineers and establishing best practices across the organization. Build internal AI integrations and tooling while tracking productivity metrics to measure the impact of AI enablement.
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