Why This Role Stands Out
Advance your career by designing and implementing cutting-edge LLM applications using AWS Bedrock, a role perfect for experienced engineers eager to shape the future of AI. You'll have the opportunity to build innovative solutions and develop specialized skills within a dynamic environment. Apply today to join Saksoft and make a significant impact.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Marysville, OH, United States
Posted
3 weeks ago
DynamoDBMicroservicesAPI GatewayAWSETLASP.NETEMRGitHub ActionsPython
Job Description
Title: AI AWS Bedrock Engineer
Location: Marysville – Ohio(Onsite)
Contract
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 ElastiCache
Skills
Mandatory Skills : ASP.NET MVC, AWS AI Services, AWS Bedrock, Prompt Engineering
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