We are looking for a highly experienced AWS Bedrock Developer with strong Python expertise to lead the design, development, and deployment of enterprise-scale Generative AI and AI/ML-powered solutions on AWS. The ideal candidate should have hands-on expertise in Amazon Bedrock, Python-based application development, cloud-native architecture, and integrating foundation models into business applications.

This role requires deep technical knowledge in AWS services, LLM-based solution development, prompt engineering, AI application architecture, and end-to-end implementation of scalable and secure cloud solutions. The candidate is also expected to provide technical leadership, mentor teams, and drive best practices across the development lifecycle.

Strong hands-on experience in Python development

Experience working with AWS Bedrock

Strong understanding of Generative AI / Large Language Models (LLMs) and enterprise AI use cases

Experience in building scalable REST APIs, microservices, and backend applications

Strong knowledge of AWS cloud services, including:

AWS Lambda

Amazon S3

API Gateway

IAM

CloudWatch

ECS / EKS

Step Functions

VPC / Security configurations

Experience in prompt engineering, model integration, and AI application architecture

Strong understanding of cloud-native design patterns

Experience with Git, CI/CD pipelines, and DevOps practices

Knowledge of security, access control, logging, monitoring, and governance in AWS environments

Strong debugging, performance tuning, and architectural problem-solving capabilities

Desired Candidate Profile

9–14 years of relevant IT experience

Strong development background in Python

Hands-on expertise in AWS Bedrock and AWS cloud-native application development

Good experience in Generative AI / LLM-based solution design and development

Strong understanding of enterprise architecture, system integration, and cloud security

Experience in leading technical teams and handling complex solution delivery

Excellent communication, stakeholder management, and documentation skills

Educational Qualification

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline

Work Location

Hyderabad (HYD)

Experience with LangChain, orchestration frameworks, or AI integration libraries

Exposure to RAG (Retrieval-Augmented Generation), embeddings, vector databases, and semantic search

Experience in Docker, Kubernetes, and containerized deployments

Understanding of AI governance, responsible AI, and model lifecycle management

Experience in designing enterprise-scale cloud and AI solutions

Ability to lead teams and collaborate with multiple stakeholders across functions