GenAI Developer
KeySkills
-
Generative AI,
AWS Bedrock,
Bedrock Agent Core SDK,
AWS Strands SDK,
Python,
Anthropic Claude,
LLMs,
Prompt Engineering,
RAG,
Vector Databases,
Embeddings,
LangGraph,
CrewAI,
Multi-Agent Systems,
AWS Lambda,
ECS,
EKS,
EC2,
API Gateway,
DynamoDB,
Aurora,
OpenSearch,
Microservices,
Event-Driven Architecture,
CI/CD,
AWS CodePipeline,
GitHub Actions,
Terraform,
CloudFormation,
AWS CDK,
CloudWatch,
X-Ray,
Observability,
Security,
IAM,
Secrets Manager,
Responsible AI,
Cost Optimization.,
Job Description
- Key Responsibilities Generative AI Development:Design and implement Generative AI applications using AWS Bedrock, including:o Bedrock Agent Core SDK o Foundation Models (FM) integration oPrompt engineering and agent orchestration.Build AI workflows using AWS Strands SDK for scalable model execution and orchestrationDevelop and maintain reusable AI components, APIs, and services in PythonOptimize model performance, latency, and cost for production workloads.AWS-Native Application DevelopmentDesign and develop cloud-native applications on AWS using:o AWS Lambda, ECS/EKS, EC2 o API Gateway / Application Load Balancer o S3, DynamoDB, Aurora, OpenSearch.Implement secure IAM roles and policies aligned with least-privilege principlesBuild event-driven and microservices-based architectures.DevOps & CI/CDDesign and maintain CI/CD pipelines using tools such as:AWS CodePipeline / CodeBuild / CodeDeploy o GitHub Actions / GitLab CI (as applicable)Infrastructure as Code (IaC) using:AWS CloudFormation / CDK / TerraformAutomate build, test, deployment, and rollbacks for GenAI workloads.Observability & OperationsImplement end-to-end observability for AI and application workloads:Amazon CloudWatch (logs, metrics, alarms) o AWS X-Ray tracing o Custom metrics for model behavior and performanceMonitor:Model response latency o Token usage and cost o Error rates and failure scenariosParticipate in incident management, root cause analysis, and system optimization.Security, Governance & ComplianceEnsure secure handling of data used in AI workflowsImplement:Encryption at rest and in transit o Secure secrets management (AWS Secrets Manager / Parameter Store)Follow enterprise standards for:Data privacy o AI governance o Responsible AI usage.
Job Details
Experience :
7 To 12
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
9 Lac - 15 Lac
P.A
Education Summary
UG :
Any UG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
1206629494
e-mailId :
rashmi.mishra@birlasoft.com
Address :
Birlasoft (India) Ltd.8th Floor, A - Wing, Prince Infocity II,No.283 / 4, Rajiv Gandhi Salai (OMR),Kandanchavadi, Chennai,Tamilnadu, India
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaQlik Sense Architect
Experience -
10 to 15
Gen AI Lead
Experience -
0 to 1
Key Skills -
AWS Bedrock,
AWS Bedrock Agent Core SDK,
AWS Strands SDK,
AWS X-Ray,
Application Load Balancer,
OpenSearch,
Amazon Aurora,
S3,
DynamoDB,
EC2,
ECS,
EKS,
AWS Lambda,
API Gateway,
Amazon CloudWatch,
AWS CodePipeline,
AWS CodeBuild,
AWS CodeDeploy,
GitHub Actions,
GitLab CI,
AWS CloudFormation,
CDK,
Terraform,
Parameter Store,
AWS Secrets Manager,
Python.,
Software Development Engineer
Experience -
2 to 3
Key Skills -
Java / Python / C++,
Data Structures & Algorithms,
System Design,
Distributed Systems,
Microservices Architecture,
Scalable & Fault-Tolerant Systems,
RESTful APIs,
SQL & NoSQL Databases,
Cloud Computing (AWS),
Agile Development,
Unit & Integration Testing,
High-Performance Backend Development,
Full Stack Developer
Experience -
0 to 2