AWS Bedrock Developer + Python

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 Lang Chain, 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

Education: MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

Preferred skills: Technology->data science->PYTHON,Technology->Machine Learning->Generative AI->closed models (aws bedrock)