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.

📌 AWS Gen AI Engineer (Bengaluru)
🏢 Sonata Software
📍 Bengaluru