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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

sevenTenPUNEofficeDirect Career PageEst. 25–45 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Mid-level amplifiers: popular AI role plus metro location create moderate competition.

Background Fit Sensitivity

(High)

Specialized ML/GenAI and cloud tooling requirements reduce cross-industry transferability.

Shortlisting Strictness

(High)

Explicit 8+ years, mandatory LLM/GenAI and AWS/RAG skills make filters stringent.

Estimated fit based on your resume

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Structured overview of role & requirements

Build and implement AI agents and architecture within CI/CD workflows on AWS.

Develop and engineer Retrieval-Augmented Generation (RAG) pipelines using AWS SageMaker and Lambda.

Integrate AI solutions such as agentic workflows, autonomous AI agents, and vector databases with security and tool integrations.

Minimum 3+ years of experience with AI technologies, total work experience 8+ years.

Hands-on experience with LLMs/GenAI platforms like OpenAI or Bedrock.

Proficient in Python programming and AI development.

Strong knowledge of AWS services including Lambda, ECS/EKS, S3, and API Gateway.

Experienced in building autonomous AI agents and agentic workflows at scale.

Skilled in integrating AI with CI/CD pipelines and serverless AWS infrastructure.

Familiar with AI security practices, application vulnerabilities, and cloud-native AI deployments.