[Hiring] AI / Generative AI Engineer @HIKINEX

Role Description

We are seeking an experienced AI / Generative AI Engineer to help build a production-grade AI platform powered by Amazon Bedrock. This platform will enable non-technical users to query large geospatial datasets using natural language, eliminating the need for SQL or GIS expertise. This is a hands-on engineering role focused on designing, deploying, and optimizing enterprise-scale generative AI solutions in AWS.

Key Responsibilities

• 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

Qualifications

• 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

Ideal Candidate

We are specifically looking for engineers who have successfully delivered production generative AI solutions on AWS using:

• Amazon Bedrock Agents
• RAG architectures
• Bedrock Guardrails

Candidates with primarily AWS infrastructure, DevOps, or cloud engineering backgrounds without hands-on production GenAI delivery experience will not be the right fit for this opportunity.

Start Date

Immediate availability is strongly preferred.