Utilize AI-assisted development tools and coding copilots to improve engineering productivity, code quality, and delivery efficiency.
Develop scalable APIs, microservices, and cloud-native solutions that meet performance, reliability, and security requirements.
Implement automated testing frameworks, CI/CD pipelines, Infrastructure as Code (IaC), and DevSecOps practices to support high-quality software delivery.
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Utilize AI-assisted development tools and coding copilots to improve engineering productivity, code quality, and delivery efficiency.
Develop scalable APIs, microservices, and cloud-native solutions that meet performance, reliability, and security requirements.
Implement automated testing frameworks, CI/CD pipelines, Infrastructure as Code (IaC), and DevSecOps practices to support high-quality software delivery.
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Establish prompt architecture standards — versioning, A/B testing, structured output schemas — and apply reasoning patterns (ReAct, CoT, ToT) appropriate to each agent use case.
Architect and build production agentic systems hands-on — agent harnesses, orchestration topologies (supervisor/worker, event-driven, parallel), A2A coordination patterns, and LLM gateway configuration; write code, resolve complex engineering problems, and set the quality standard through personal example.
Design and implement knowledge layer components: RAG pipelines (hybrid search, re-ranking, late chunking), MCP-connected knowledge sources, Text-to-SQL, Elasticsearch integration, and knowledge graph layers — selecting and tuning the right retrieval strategy per use case.
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