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AWS Bedrock Developer with Python

18 days ago 2026/08/31
Other Business Support Services
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Job description

Roles and Responsibilities

Independently design and develop AWS Bedrock-based solutions for enterprise use cases
Build robust Python applications with strong focus on scalability, maintainability, and performance
Collaborate with cross-functional teams to deliver AI-powered features and services
Handle end-to-end ownership from design to deployment and support
Contribute to architectural decisions and best practice implementation
Support production deployments and resolve complex technical issues
Mentor junior developers or support team members when required



Additional Responsibilities

* Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
* Good knowledge on software configuration management systems
* Awareness of latest technologies and Industry trends
* Logical thinking and problem solving skills along with an ability to collaborate
* Understanding of the financial processes for various types of projects and the various pricing models available
* Ability to assess the current processes, identify improvement areas and suggest the technology solutions
* One or two industry domain knowledge
* Client Interfacing skills
* Project and Team management



Technical Requirements

5-9 years of relevant IT experience
Strong development background in Python
Hands-on experience in AWS Bedrock and cloud-native application development
Good exposure to Generative AI / LLM solution development
Experience in designing and deploying enterprise-grade AWS solutions
Ability to work in a fast-paced and collaborative environment
Strong communication and technical documentation skills



Job Description

Looking for professionals with strong hands-on experience in AWS Bedrock and Python to build and deploy Generative AI solutions on AWS. The candidate should have experience in Python development, backend/API integration, prompt engineering, cloud-native application development, and working with AWS services such as Lambda, S3, API Gateway, IAM, and CloudWatch. Exposure to LLMs, RAG, vector databases, LangChain, and production deployment of AI-powered applications will be an added advantage.


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