| Detailed JD (Roles and Responsibilities) | AI Developer Required Skills & Experience - Software Development (5 years): Proficient in Python and/or ; strong REST API design and implementation skills.
- AWS Serverless: Deep experience with AWS Lambda Step Functions API Gateway (or Lambda Function URLs) DynamoDB/S3 and IAM.
- Container & Kubernetes: Hands-on with Docker and EKS (or ECS); comfortable with Helm K8s manifests and cluster autoscaling.
- MCP or Agent Frameworks: Familiarity with the Model Context Protocol spec or similar LLM tool-invocation patterns; experience with Bedrock Agents or LangChain is a plus.
- Infrastructure as Code: Expert in Terraform AWS CDK or CloudFormation for defining and deploying AWS infrastructure.
- Security Best Practices: Strong understanding of VPC networking PrivateLink security groups WAF Secrets Manager and implementing least-privilege IAM policies.
- Monitoring & Observability: Experience with CloudWatch (logs dashboards alarms) Kibana or open-source tooling (Prometheus Grafana).
- CI/CD & DevOps: Proficient setting up pipelines (GitHub Actions Azure DevOps or AWS CodePipeline) for automated testing and deployments.
- Prompt Engineering Collaboration: Ability to translate AI/ML requirements into clear tool definitions and assist in iterative prompt tuning.
Desirable (Nice-to-Have) - Experience working with Amazon Bedrock fine-tuning or deploying custom LLMs.
- Familiarity with advanced AWS AI services (Opensearch Sagemaker Kendra).
- Background in building event-driven architectures using EventBridge SNS/SQS.
- Knowledge of regulatory frameworks (GDPR HIPAA) and implementing compliant data flows.
- Exposure to service mesh (AWS App Mesh Istio) or serverless container frameworks (Fargate).
- Prior role in a multi-account AWS Organization with cross-account IAM and billing structures.
Soft Skills - Excellent communicator comfortable bridging technical teams (AI Infra Security).
- Self-starter with strong ownership mentality-able to drive complex features end-to-end.
- Analytical mindset to troubleshoot distributed event-driven systems.
- Able to mentor junior engineers and evangelize best practices for secure scalable MCP deployments.
| |
| |
| |
| Total Experience | 8 | |
| Relevant Experience | 3 | |
| Mandatory skills | Python and AWS | |
| Desired skills | Node JS Angular JS | |
| Domain (Industry) | Insurance | |
| Work Location | Bangalore / Hyderabad / Bhubaneswar/ Chennai | |
| Mode of Interview- Telephonic/Face to Face/Video Interview | Video Interview | |
| WFO / WFH / Hybrid | Hybrid | |
| Shift Details (Time) | 2 PM to 11 PM | |
Detailed JD (Roles and Responsibilities) AI Developer Required Skills & Experience Software Development (5 years): Proficient in Python and/or ; strong REST API design and implementation skills. AWS Serverless: Deep experience with AWS Lambda Step Functions API Gateway (or Lambda Function UR...
| Detailed JD (Roles and Responsibilities) | AI Developer Required Skills & Experience - Software Development (5 years): Proficient in Python and/or ; strong REST API design and implementation skills.
- AWS Serverless: Deep experience with AWS Lambda Step Functions API Gateway (or Lambda Function URLs) DynamoDB/S3 and IAM.
- Container & Kubernetes: Hands-on with Docker and EKS (or ECS); comfortable with Helm K8s manifests and cluster autoscaling.
- MCP or Agent Frameworks: Familiarity with the Model Context Protocol spec or similar LLM tool-invocation patterns; experience with Bedrock Agents or LangChain is a plus.
- Infrastructure as Code: Expert in Terraform AWS CDK or CloudFormation for defining and deploying AWS infrastructure.
- Security Best Practices: Strong understanding of VPC networking PrivateLink security groups WAF Secrets Manager and implementing least-privilege IAM policies.
- Monitoring & Observability: Experience with CloudWatch (logs dashboards alarms) Kibana or open-source tooling (Prometheus Grafana).
- CI/CD & DevOps: Proficient setting up pipelines (GitHub Actions Azure DevOps or AWS CodePipeline) for automated testing and deployments.
- Prompt Engineering Collaboration: Ability to translate AI/ML requirements into clear tool definitions and assist in iterative prompt tuning.
Desirable (Nice-to-Have) - Experience working with Amazon Bedrock fine-tuning or deploying custom LLMs.
- Familiarity with advanced AWS AI services (Opensearch Sagemaker Kendra).
- Background in building event-driven architectures using EventBridge SNS/SQS.
- Knowledge of regulatory frameworks (GDPR HIPAA) and implementing compliant data flows.
- Exposure to service mesh (AWS App Mesh Istio) or serverless container frameworks (Fargate).
- Prior role in a multi-account AWS Organization with cross-account IAM and billing structures.
Soft Skills - Excellent communicator comfortable bridging technical teams (AI Infra Security).
- Self-starter with strong ownership mentality-able to drive complex features end-to-end.
- Analytical mindset to troubleshoot distributed event-driven systems.
- Able to mentor junior engineers and evangelize best practices for secure scalable MCP deployments.
| |
| |
| |
| Total Experience | 8 | |
| Relevant Experience | 3 | |
| Mandatory skills | Python and AWS | |
| Desired skills | Node JS Angular JS | |
| Domain (Industry) | Insurance | |
| Work Location | Bangalore / Hyderabad / Bhubaneswar/ Chennai | |
| Mode of Interview- Telephonic/Face to Face/Video Interview | Video Interview | |
| WFO / WFH / Hybrid | Hybrid | |
| Shift Details (Time) | 2 PM to 11 PM | |
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
