ASP.NET MVC, AWS AI Services, AWS Bedrock, Prompt Engineering
Marysville, OH (Hybrid)
JD:
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 ElastiCache
Skills
Mandatory Skills : ASP.NET MVC, AWS AI Services, AWS Bedrock, Prompt Engineering
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