Aws Devops Architect
Posted Updated
Summary
Designs and builds end-to-end AI/ML applications on AWS: LLM apps, RAG pipelines and agentic workflows via Amazon Bedrock, Python/FastAPI microservices, vector search, React UIs, data pipelines, and CI/CD, plus cost optimization for AI workloads.
Full Stack AI Engineer to design build and deploy end to end AIML powered applications from frontend interfaces to cloud native backend infrastructure with a strong emphasis on AWS as the primary platform for model hosting orchestration and data pipelines
Key Responsibilities
- Design and implement LLM based 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 Elasti Cache.
Required Skills
Category Skills
- Cloud AWSBedrock Lambda API Gateway S3 DynamoDB ECSEKS Step Functions IAM CloudFormationCDKTerraform
- AIMLLLM integration RAG prompt engineering LangChainLangGraph embeddings vector databases
- BackendPython strong FastAPIFlask RESTGraphQL API design
- FrontendReactNextjs or Streamlit TypeScriptJavaScript
- DevOpsCICD Docker containerization Git
- DataSQLNoSQL basic ETL S3 data lake patterns
Mandatory Skills : Amazon Bedrock, AWS Lambda, CI/CD Architecture, GenAI - LLMOps, Python
Good to Have Skills : Docker, Java, MySQL, React
Skills
- Agentic AI
- AI
- API
- Api Design
- API Gateway
- Authentication
- AWS
- AWS Bedrock
- Aws Glue
- CI/CD
- Cloud
- Cloud Native
- Containerization
- Data Lake
- Data Pipelines
- Docker
- DynamoDB
- Embeddings
- ETL
- Generative AI
- Git
- GitHub
- GitHub Actions
- IAM
- Java
- Lambda
- LangChain
- LangGraph
- LLM
- LLMOps
- Microservices
- MySQL
- Node.js
- OpenSearch
- Pinecone
- Prompt Engineering
- Python
- React
- S3
- SageMaker
- Streamlit
- Vector Databases
- Vector Search