Added
27 days ago
Type
Full time
Salary
Salary not provided

Related skills

nlp python django kubernetes express
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πŸ“‹ Description

  • Define and own AI-powered system architectures, incl Generative AI and multi-agent workflows.
  • Design orchestration patterns for LLMs with APIs, data platforms, and tools.
  • Architect agentic AI systems with multi-agent coordination and human-in-the-loop.
  • Establish MCP, tool integration, and agent interoperability standards.
  • Define evaluation and governance for AI, incl metrics, safety, observability.
  • Lead model selection and trade-offs for latency, cost, and accuracy.

🎯 Requirements

  • Proven experience designing and deploying AI architectures with Generative AI, NLP, LLM integration, and software engineering.
  • Strong background building software platforms (Python/Django, Java/Spring, TypeScript/Express) for API integration.
  • Deep understanding of model trade-offs and selecting the right model per use case.
  • Hands-on experience with function-calling and tools integration into LLMs via MCP.
  • Experience with Agentic AI orchestration frameworks (LangGraph, Google ADK, OpenAI Agents SDK, CrewAI).
  • Experience using CI/CD tools (GitHub Actions, Jenkins, AWS CodeDeploy, Azure Pipelines).

🎁 Benefits

  • Health and dental plan
  • Life insurance
  • Monthly voucher for meals, culture, education, health and mobility
  • Child care assistance and more!
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