Senior AI Engineer (Conversational AI)

New
R
RemoFirstArtificial Intelligence
Egypt. Poland. Tunisia. South Africa. Romania. CroatiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
Full Stack DevelopmentCI/CDPrompt Engineering

Requirements

  • 5+ years of experience building AI-powered applications in production.
  • Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks.
  • Proven experience designing and developing conversational AI systems (voice and/or chat applications).
  • Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines.
  • Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing.
  • Demonstrated experience improving AI quality through iterative evaluation and experimentation.
  • Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code.
  • Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar.
  • Experience deploying, monitoring, and maintaining AI applications in production environments.
  • Full-stack development experience with modern backend and frontend technologies.
  • Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments.

Responsibilities

  • Design, develop, and maintain production-grade conversational AI systems.
  • Own AI features from technical design through deployment and production support.
  • Design scalable AI architectures and agent workflows.
  • Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines.
  • Continuously improve AI quality through experimentation, evaluation, and data-driven optimization.
  • Integrate multiple AI providers and select the best models for different use cases.
  • Monitor production AI systems and proactively improve reliability, quality, and performance.
  • Collaborate with product, frontend, and backend teams to deliver end-to-end AI features.
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