Live opening · Posted 18 days ago

Full-Stack AI Engineer – AWS AI

Asian Infotel Pvt Ltd · Mumbai, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 18 days ago
CompanyAsian Infotel Pvt Ltd
LocationMumbai, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed18 days ago

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About the role

Description supplied by the original job listing.

Asian Infotel Pvt. Ltd. (AIPL) is looking for a Full-Stack AI Engineer – AWS AI to design, develop, integrate, test, deploy, and support enterprise AI solutions using Python, AWS AI/ML services, Amazon Bedrock, Generative AI, RAG pipelines, APIs, and AI Agents.
Key Responsibilities
Build enterprise Generative AI and Agentic AI applications on AWS.
Develop solutions using Amazon Bedrock, foundation models, embeddings, and model APIs.
Build and maintain RAG pipelines and AI Agents.
Develop backend APIs using Python, FastAPI, or Flask.
Develop frontend applications using React.js, Angular, or equivalent.
Integrate AI solutions with enterprise applications, databases, APIs, and third-party systems.
Implement secure, scalable, and production-ready AWS architectures.
Support testing, deployment, monitoring, troubleshooting, and production support.
Work with CI/CD and DevOps practices.
Required Skills
AI/GenAI: Generative AI, LLMs, Amazon Bedrock, RAG, Vector Search, Embeddings, Prompt Engineering, AI Agents.
Backend: Python, FastAPI/Flask, REST APIs, Microservices, API Integration.
Frontend: React.js, JavaScript/TypeScript, HTML/CSS.
AWS: Bedrock, Lambda, S3, API Gateway, DynamoDB, RDS, OpenSearch, ECS/EKS, Step Functions, CloudWatch, IAM.
Preferred Qualifications
3–5 years of software development / AI engineering experience.
Strong hands-on experience with Python and AWS.
Practical experience building and deploying Generative AI applications.
Experience with Amazon Bedrock, RAG, and AI Agents.
Full-stack application development experience.
AWS certification is an added advantage.

Work arrangement
No

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