Generative AI Engineer

Location:

Hyderabad, Bangalore, Noida, Chennai and Pune

We are seeking a  Generative AI Developer  to design, build, deploy, and operate
AI-powered applications natively on AWS . The ideal candidate has strong experience in  Python , hands-on expertise with  AWS Bedrock (Agent Core SDK) ,  AWS Strands SDK , and a solid foundation in  cloud-native development, Dev Ops pipelines, and observability .
You will work closely with platform, data, and product teams to deliver  secure, scalable, and production-grade GenAI solutions .

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 Prompt engineering and agent orchestration
Build AI workflows using  AWS Strands SDK  for scalable model execution and orchestration
Develop and maintain reusable  AI components, APIs, and services  in Python
Optimize model performance, latency, and cost for production workloads

AWS-Native Application Development
Design and develop  cloud-native applications  on AWS using:
o AWS Lambda, ECS/EKS, EC2 o API Gateway / Application Load Balancer o S3, Dynamo

DB, Aurora, Open Search
Implement secure IAM roles and policies aligned with least-privilege principles
Build event-driven and microservices-based architectures

Dev Ops & CI/CD
Design and maintain  CI/CD pipelines  using tools such as:
AWS Code Pipeline / Code Build / Code Deploy o Git Hub Actions / Git Lab CI (as applicable)
Infrastructure as Code (IaC) using:
AWS Cloud Formation / CDK / Terraform
Automate build, test, deployment, and rollbacks for GenAI workloads

Observability & Operations
Implement end-to-end  observability  for AI and application workloads:
Amazon Cloud Watch (logs, metrics, alarms) o AWS X-Ray tracing o Custom metrics for model behavior and performance
Monitor:
Model response latency o Token usage and cost o Error rates and failure scenarios
Participate in  incident management , root cause analysis, and system optimization

Security, Governance & Compliance
Ensure secure handling of data used in AI workflows
Implement:
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

Required

Skills & Qualifications Technical Skills (Must Have)  
• Python  (advanced proficiency)
Hands-on experience with:
o AWS Bedrock o AWS Bedrock Agent Core SDK o AWS Strands SDK
Strong knowledge of  AWS services  and cloud-native design patterns
Experience building and deploying applications  natively on AWS
CI/CD pipeline implementation and maintenance
Observability and monitoring in production environments

Preferred Skills (Good to Have)

Experience with :
LLMs, RAG (Retrieval Augmented Generation)
Vector databases and embeddings
Knowledge of containerization:
Docker, Kubernetes (EKS)
Familiarity with MLOps or Model Lifecycle Management

Experience with cost optimization for AI workloads
Understanding of ethical AI and responsible AI principles