Added
26 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

python kubernetes gcp llms genai
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πŸ“‹ Description

  • Translate architectural solutions into detailed implementation designs, producing Low Level Designs
  • Act as technical reference and knowledge multiplier for the team, promoting standardized
  • Define the technical architecture for AI agents, including agent harness patterns, orchestration
  • Ensure that applications meet non-functional requirements related to security, compliance
  • Guide engineering teams in evaluating business objectives, architectural trade-offs, quality
  • Design and detail integration flows and asynchronous messaging architectures, ensuring secure and

🎯 Requirements

  • Solid professional background as a Senior Software Engineer or Software Architect with scalable
  • Advanced development skills in Python and modern frameworks.
  • Hands-on experience with GCP including GKE, Cloud Run, Cloud Functions, and Secret Manager.
  • Experience architecting Generative AI solutions with LLMs, RAG, and agent frameworks like
  • Strong knowledge of agent architecture and AI agents.
  • Deep understanding of Event-Driven Architecture (EDA) and asynchronous messaging platforms

🎁 Benefits

  • Opportunity to work on modern technology stack combining data, automation, cloud-native, and
  • High ownership and influence over technology decisions.
  • Exposure to AI agent architecture, LLMs, RAG, and GenAI practices.
  • Contribute to scalable, resilient, and secure products.
  • Collaborate with expert engineering teams.
  • Act as a technical reference and grow the team's technical maturity.
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