Description

Technical requirements (JD)

• Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core.
• Cloud Platform: AWS (Lambda, API Gateway, S3, IAM, CloudWatch/X-Ray for Monitoring).
• Programming Languages: Python (Primary), Node.js.
• DevOps & Tools: Git, CI/CD (Deep Experience with GitHub Actions / AWS CodePipeline), Terraform or CloudFormation (IaC), Artifact Management.
• Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.
• Enterprise AI Platform Team (Infra): Bedrock AgentCore, Terraform/Jenkins, EKS, MCP/LLM Gateways (Kong), IAM/Okta, CloudWatch/Splunk, RAG (PostgreSQL/Redshift).
• Agent Building Team (Apps): Strands SDK, CrewAI, Bedrock AgentCore SDK, Python, React/Node, evaluation frameworks

At least one AWS certification, preferably:

• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner
• AWS Certified Solutions Architect – Associate

Proof of hands-on project experience, such as:

• GitHub repositories
• Portfolio projects
• Deployed applications or demos
• Technical documentation demonstrating ownership and contributions

Key Skills

Education

Any Graduate