AI Designer
Apply generative AI models to real-world design scenarios to identify quality gaps and opportunities for improvement. Evaluate and rank generated images based on composition and usability to guide model evolution.
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Apply generative AI models to real-world design scenarios to identify quality gaps and opportunities for improvement. Evaluate and rank generated images based on composition and usability to guide model evolution.
The intern will analyze platform and experiment data using BigQuery to drive product decisions and improve user experience. Additionally, they will contribute to product design in Figma and perform QA on new features.
Integrate security into the entire software development lifecycle by designing secure pipelines and implementing SAST, SCA, and DAST tools. Collaborate with engineering teams to remediate vulnerabilities and conduct threat modeling for applications and services.
Design and develop scalable backend applications and RESTful APIs using Python and AWS. Collaborate on frontend development with React and participate in the full software development life cycle for an AI-powered SaaS platform.
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.
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Design and implement cloud-native AI solutions, focusing on RAG systems and agentic workflows to solve client business challenges. Act as a technical advisor throughout the project lifecycle, from presales discovery and scoping to production delivery and mentoring.
Design and lead the development of product features for AppGlass, focusing on AI-first debugging of production systems. Develop tooling for AI engineering workflows and manage enterprise integrations across Kubernetes and cloud environments.
Own the end-to-end product vision and roadmap for the Kotlin plugin in IntelliJ IDEA, ensuring a fast and trustworthy developer experience. This involves hands-on prototyping with AI agents, maintaining reference projects, and conducting user interviews to refine features.
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.
Lead the technical direction and implementation of AI-powered workflows and coding agents within the CLion IDE. Design architectures for C++ specific AI capabilities and build evaluation frameworks to benchmark AI-assisted development.
Own the acquisition, onboarding, and activation journey for JetBrains AI for teams and organizations. Optimize user flows across various product surfaces to drive meaningful product usage and conversion.
Drive and coordinate complex initiatives for the JetBrains Platform by aligning multiple teams and stakeholders around shared goals. Support the end-to-end planning and execution process while managing risks, dependencies, and bottlenecks.
Define and evolve the architecture of a core fintech platform to ensure scalability, resilience, and maintainability. Lead architectural reviews and collaborate with stakeholders to transform business requirements into sustainable technical solutions.
Develop and maintain scalable Python applications and RESTful APIs using frameworks like FastAPI or Django. Design and implement generative AI chatbot applications and optimize Retrieval Augmented Generation (RAG) systems.
Review and evaluate AI-generated outputs for accuracy, clarity, and cultural appropriateness in Armenian. Provide structured annotations and corrections to improve AI model performance across text and multimedia content.
Develop an internal AI agent platform and surrounding microservices to drive automation and innovation. Participate in architectural setup, technology selection, and performance optimization of the agent ecosystem.
Host live Q&A sessions and lead lessons to guide students through the QA Engineering program. Provide personalized 1:1 support, review student projects, and offer actionable feedback to help them master tech professions.
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Develop and maintain core technical services for CCaaS telephony, focusing on call routing and media stream handling. Optimize and refactor the codebase to enable faster feature delivery and support the introduction of Telephony as a Service.
The role focuses on maintaining service reliability through SLO/SLI management, toil reduction, and monitoring system optimization. It involves managing incidents, conducting postmortems, and automating Jira Service Management workflows.
Own the foundational health of the PHP monolith, including runtime upgrades, dependency management, and observability. Build shared TypeScript services and event-driven pipelines on GCP to reduce friction for other engineering teams.
Design, develop, and support secure, high-performing backend software and APIs for a fintech ecosystem. Integrate third-party payment solutions and optimize database performance to ensure system scalability.
Design, develop, and support secure, high-performing backend software and APIs for a fintech ecosystem. Integrate third-party payment solutions and optimize database performance to ensure system scalability.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data platforms to support analytics and AI initiatives. They will collaborate with cross-functional teams to ensure data quality, security, and performance within financial services environments.
The Data Solutions Architect will define and govern enterprise-wide data architecture to ensure alignment with business strategy and regulatory requirements. They will lead the design of AI and machine learning platforms while driving the adoption of modern data paradigms like Data Mesh.
Design and deploy advanced machine learning models to address critical financial use cases such as credit risk, fraud detection, and customer analytics. Collaborate with cross-functional teams to build scalable data pipelines and present actionable insights to senior stakeholders.
The ServiceDesk Engineer will troubleshoot complex technical issues, including API errors and performance bottlenecks, while maintaining documentation and playbooks. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
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The ServiceDesk Engineer L2 will troubleshoot complex technical issues, perform root cause analysis, and manage product bugs in collaboration with engineering teams. They are also responsible for automating routine tasks, maintaining documentation, and participating in on-call incident management.
The role involves managing SRE fundamentals, including SLO/SLI metrics, incident resolution, and toil management. You will also be responsible for automating workflows using Jira Service Management and maintaining infrastructure via Terraform and GCP.
You will design, implement, and scale the platform's core backend systems and data pipelines while leading end-to-end development for critical features. Additionally, you will define architecture standards for security and identity management while collaborating with cross-functional teams.
You will collaborate with an international team to develop and ship high-quality software features. The role involves applying creative problem-solving and elegant algorithmic design to complex technical challenges.
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