AI Application Architect

Asks for

• AgentsThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• distributed systemsThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• DockerThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• ElasticsearchThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• EmbeddingThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• Function CallingThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• GoThe ad says“Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills.”
• GrafanaThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• high-availability designThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• JavaThe ad says“Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills.”
• KafkaThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• KubernetesThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• LLMThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• microservices architectureThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• MySQLThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• observabilityThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• OpenTelemetryThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• platform engineeringThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• PrometheusThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• Prompt EngineeringThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• PythonThe ad says“Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills.”
• RAGThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• RedisThe ad says“Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.”
• service governanceThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• software architectureThe ad says“Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.”
• Tool CallingThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”
• TypeScriptThe ad says“Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills.”
• vector databasesThe ad says“Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.”