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[ Fastwater Staffing ] AI / Generative AI Engineer (Amazon Bedrock) | Fully Remote

HIKINEX

Location
Remote (United States)
Employment
Contract
Level
Senior Level
Posted 2 days ago

About the Role

Join HikinEx as an AI/Generative AI Engineer to build a cutting-edge AI platform powered by Amazon Bedrock. This role offers the chance to enable non-technical users to interact with large geospatial datasets using natural language, directly impacting how data is accessed and utilized.

Skills

Amazon Bedrock Generative AI RAG Bedrock Agents Prompt Engineering AWS Lambda Python OpenSearch Serverless AWS CloudFormation API Gateway Vector Search AI Safety Bedrock Guardrails CI/CD Infrastructure-as-Code Natural-language-to-API

Perks

  • Fully Remote

Full job details

AI / Generative AI Engineer (Amazon Bedrock)

Location: Fully Remote
Type: Full-Time Contract
Duration: Approximately 9 Weeks
Start Date: ASAP

About the Role

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

Required Experience

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.