HIKINEX
201 - 500 employees
🤝 B2B
🎯 Recruiter
B2B • Recruitment
HIKINEX is a multi-channel integrated service provider that delivers outsourced sales, recruitment, virtual assistant, and marketing support to help companies scale quickly and reduce operating costs. The company offers sales-as-a-service (appointment setting, outbound sales, sales training), end-to-end recruiting and talent acquisition (sourcing, screening, ATS management, executive recruiting), virtual administrative support, and marketing/brand ambassador services. HIKINEX operates remotely out of San Francisco and emphasizes flexible, scalable staffing and operations solutions for B2B clients.
AI Engineer, Generative AI
Job not on LinkedIn
🔥 0 minutes ago
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HIKINEX
201 - 500 employees
🤝 B2B
🎯 Recruiter
B2B • Recruitment
HIKINEX is a multi-channel integrated service provider that delivers outsourced sales, recruitment, virtual assistant, and marketing support to help companies scale quickly and reduce operating costs. The company offers sales-as-a-service (appointment setting, outbound sales, sales training), end-to-end recruiting and talent acquisition (sourcing, screening, ATS management, executive recruiting), virtual administrative support, and marketing/brand ambassador services. HIKINEX operates remotely out of San Francisco and emphasizes flexible, scalable staffing and operations solutions for B2B clients.
đź“‹ Description
• Design and develop AI applications using Amazon Bedrock • Build and configure Bedrock Agents and Action Groups • Implement Retrieval-Augmented Generation (RAG) architectures • Develop natural-language-to-API workflows • Configure Bedrock Knowledge Bases and vector search solutions • Implement AI safety controls, content filtering, and PII protection • Build and maintain serverless AWS solutions • Deploy infrastructure using Infrastructure-as-Code practices • Monitor AI system performance, usage, and operational metrics
🎯 Requirements
• Generative AI & Amazon Bedrock • Amazon Bedrock Agents and Action Groups • Prompt engineering and orchestration • Natural-language-to-API integrations • Production deployment of generative AI solutions • Retrieval-Augmented Generation (RAG) • Bedrock Knowledge Bases • OpenSearch • Serverless vector stores • Embeddings, chunking strategies, and retrieval optimization • End-to-end RAG implementation • AI Safety & Governance • Bedrock Guardrails • PII detection and redaction • Topic enforcement and content moderation • Responsible AI implementation • AWS Serverless Technologies • AWS Lambda (Python) • Amazon API Gateway • API authentication (IAM, API Keys) • Amazon S3 • Deployment & Operations • AWS CloudFormation • CI/CD pipelines for AI workloads • CloudWatch monitoring and dashboards • AI performance metrics, including latency, token consumption, error rates, and guardrail activity
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