AWS Bedrock

Tekskills Inc.; Bengaluru; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Tekskills Inc. in Bengaluru, India is seeking an AI/ML developer to design, build, and deploy generative AI applications using AWS Bedrock.

You will master prompt engineering, RAG pipelines, and agentic AI solutions, collaborating with data scientists, ML engineers, and software teams to deliver scalable, secure AI-powered workflows.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, ML, or related field.
• 3+ years of experience in AI/ML development, focused on generative AI.
• Hands-on experience with AWS Bedrock and foundation models.
• Proficiency in Python and ML frameworks.
• Experience with AWS services like SageMaker, Lambda, API Gateway, DynamoDB, and S3.
• Experience with prompt engineering, model fine-tuning, and inference optimization.
• Familiarity with MLOps practices and CI/CD pipelines for AI deployment.
• Ability to work with large-scale datasets and optimize AI models for performance.
• Excellent problem-solving skills and agile environment.

Responsibilities

• Design, develop, and deploy generative AI applications using AWS Bedrock.
• Proficiency in prompt engineering and RAG pipelines.
• Build Agentic Generative AI applications.
• Fine-tune and optimize models on Bedrock for various use cases.
• Integrate AI capabilities into enterprise apps/workflows.
• Collaborate with data scientists, ML engineers, and software developers.
• Utilize AWS services (S3, Lambda, SageMaker) to build scalable AI solutions.
• Develop APIs and interfaces to enable interaction with AI models.
• Monitor model performance, run A/B tests, and enhance AI-driven products.
• Ensure compliance with AI ethics, governance, and security best practices.

Skills

Prompt engineering

RAG pipeline

Agentic AI

Python programming

Agile teamwork

Problem solving

Cross-functional

Education

Bachelor's or Master's in CS/AI

Tools

AWS Bedrock

SageMaker

Lambda

API Gateway

DynamoDB

S3

CI/CD

Job description

JD is below:

• Design, develop, and deploy generative AI based applications using AWS Bedrock.


• Proficiency in prompt engineering and RAG pipeline


• Experience in building Agentic Generative AI applications


• Fine-tune and optimize foundation models from AWS Bedrock for various use cases.


• Integrate generative AI capabilities into enterprise applications and workflows.


• Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions.


• Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions.


• Develop APIs and interfaces to enable seamless interaction with AI models.


• Monitor model performance, conduct A/B testing, and enhance AI-driven products.


• Ensure compliance with AI ethics, governance, and security best practices.


• Stay up-to-date with advancements in generative AI and AWS cloud technologies.

Required Skills & Qualifications

• Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field.


• 3+ years of experience in AI/ML development, with a focus on generative AI.


• Hands-on experience with AWS Bedrock and foundation models.


• Proficiency in Python and ML frameworks.


• Experience with AWS services such as SageMaker, Lambda, API Gateway, DynamoDB, and S3.


• Experience with prompt engineering, model fine-tuning, and inference optimization.


• Familiarity with MLOps practices and CI/CD pipelines for AI deployment.


• Ability to work with large-scale datasets and optimize AI models for performance.


• Excellent problem-solving skills and ability to work in an agile environment.

Preferred Qualifications

• AWS Certified Machine Learning – Specialty or equivalent certification.


• Experience in LLMOps and model lifecycle management.


• Knowledge of multi-modal AI models (text, image, video generation).


• Hands-on experience with other cloud AI platforms (Google Vertex AI, Azure OpenAI).


• Strong understanding of ethical AI principles and bias mitigation techniques.