AWS Gen AI Engineer

AWS Gen AI Engineer

Role Summary

The AWS Gen AI Engineer will build AI-powered applications, RAG workflows, prompt frameworks, Bedrock integrations and reusable GenAI accelerators.

Required Primary Skills

• Amazon Bedrock
• RAG
• Prompt engineering
• Python
• Embeddings
• Model evaluation

Secondary Skills

• Vector stores
• Semantic search
• Lambda
• Step Functions
• API integration

Technical Skills

• Amazon Bedrock, foundation models, embeddings and RAG
• Prompt engineering, evaluation, guardrails and response-quality checks
• Python, API development, Lambda and Step Functions basics
• Vector stores, semantic search and orchestration frameworks

Key Responsibilities

• Build GenAI application components and integrations.
• Implement RAG pipelines, embeddings and knowledge retrieval workflows.
• Develop prompts, evaluation logic, guardrails and response quality checks.
• Integrate Amazon Bedrock and foundation models with business applications.
• Create reusable GenAI templates and accelerators.

Preferred Certifications

• AWS Certified AI Practitioner
• AWS Certified Machine Learning Engineer - Associate
• AWS Certified Solutions Architect - Associate
• AWS Certified Developer - Associate

Expected Deliverables

• GenAI application components
• RAG pipelines and prompt templates
• Evaluation and guardrail documentation
• Reusable GenAI accelerators

Qualification

• B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline.
• Hands-on delivery experience aligned to the stated experience range and role scope.