Description
Требования: Experience with S2S integration, preferably using technologies such as n8n or Temporal, or alternatively MuleSoft, Apache Camel, or Boomi. Experience with Go and Python. Experience building multi-tenant SaaS solutions.
Experience building and scaling AI-native products and applications. Experience with production-grade GenAI solutions, including RAG pipelines (hybrid retrieval, embeddings) and agentic systems (agent orchestration, tool usage). Experience with AI frameworks and tooling such as Pydantic AI, LangChain, and MCP.
Experience with MCP development and plan-based agentic software development. Experience with DevOps and cloud-native infrastructure, including Docker, Kubernetes, CNCF technologies, and CI/CD pipelines. Experience with API gateways and API products, preferably with platforms such as Kong or Tyk.
Preferably experience optimizing AI services for latency and cost. Preferably experience with specification-driven development. Passionate about and eager to adopt new technologies.
Up to date with the latest developments in GenAI and AI-based software development.
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