AWS Gen AI Engineer

Sonata Software; Bengaluru; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Sonata Software in Bengaluru seeks an AWS Gen AI Engineer to build AI-powered applications, RAG workflows, prompt frameworks, Bedrock integrations and reusable GenAI accelerators. You will design and implement GenAI components, RAG pipelines, embeddings and knowledge retrieval workflows, along with evaluation logic and guardrails to ensure output quality.

AWS certification is preferred. The role requires a degree in CS/IT and hands-on delivery against the stated scope, with a focus on scalable,

Qualifications

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

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.

Skills

Amazon Bedrock

RAG

Prompt engineering

Python

Embeddings

Model evaluation

Education

B.E. / B.Tech / M.Tech / MCA or equivalent

Tools

Vector stores

Semantic search

Lambda

Step Functions

API integration

Job description

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.