Job Description

Country/Region: IN
Requisition ID: 32799
Work Model:
Position Type:
Salary Range:
Location: INDIA - HYDERABAD - BIRLASOFT OFFICE

Title:

Generative AI Technical Specialist-App Development

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Description:

Long Description

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Generative AI Developer (AWS-Native)

Location Hyderabad / Hybrid / Remote (as applicable)

Experience 5-10 years (with hands-on GenAI experience preferred)

Role Summary

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, DevOps 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:

Bedrock Agent Core SDK

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

Classification: Internal

AWS-Native Application Development

Design and develop cloud-native applications on AWS using:

AWS Lambda, ECS/EKS, EC2

API Gateway / Application Load Balancer

S3, DynamoDB, Aurora, OpenSearch

Implement secure IAM roles and policies aligned with least-privilege principles

Build event-driven and microservices-based architectures

DevOps & CI/CD



Design and maintain CI/CD pipelines using tools such as:

AWS CodePipeline / CodeBuild / CodeDeploy

GitHub Actions / GitLab CI (as applicable)

Infrastructure as Code (IaC) using:

AWS CloudFormation / CDK / Terraform

Automate build, test, deployment, and rollbacks for GenAI workloads

Observability & Operations

Implement end-to-end observability for AI and application workloads:

Amazon CloudWatch (logs, metrics, alarms)

AWS X-Ray tracing

Custom metrics for model behavior and performance

Monitor:

Model response latency

Token usage and cost

Error rates and failure scenarios

Participate in incident management, root cause analysis, and system optimization

Classification: Internal

Security, Governance & Compliance

Ensure secure handling of data used in AI workflows

Implement:

Encryption at rest and in transit

Secure secrets management (AWS Secrets Manager / Parameter Store)

Follow enterprise standards for:

Data privacy

AI governance

Responsible AI usage

Required Skills & Qualifications

Technical Skills (Must Have)

Python (advanced proficiency)

Hands-on experience with:

AWS Bedrock

AWS Bedrock Agent Core SDK

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

Area(s) of responsibility

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