Job Description:

Design and implement LLMbased applications RAG pipelines agentic workflows finetuning prompt engineering Integrate foundation models via Amazon Bedrock and manage model selection guardrails and evaluation Build and optimize vector search and retrieval pipelines Amazon OpenSearch Kendra or thirdparty vector DBs like Pinecone on AWS Implement agent orchestration frameworks LangChain LangGraph Bedrock Agents for multistep reasoning tasks Build scalable APIs and microservices using Python FastAPIFlask or Nodejs Implement data pipelines with AWS Glue EMR or native Python ETL for traininginference data prep Manage containerized workloads via ECSEKS Build responsive UIs that consume backend AI services Implement realtime streaming responses for chatstyle AI interfaces Integrate authentication Amazon Cognito and rolebased access control Architect solutions using core AWS services Bedrock SageMaker Lambda API Gateway S3 DynamoDB RDSAurora ECSEKS Step Functions Set up CICD pipelines CodePipeline CodeBuild or GitHub Actions AWS deploy Manage cost optimization for AI workloads token usage monitoring model routing caching strategies via Elastic ache.

Pay:

$80.00 - $90.00 per hour

Work Location:

Hybrid remote in Marysville, OH 43041