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Innova ESI · Bengaluru, Karnataka, India

Python + AI / AWS Architect | 6–9 Years | Bangalore | GenAI, RAG, LangChain, FastAPI, Terraform| Immediate Joiner

seniorfull timePosted today
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pythonawsraglangchainfastapiterraformdevsecopsllmci/cdreactsqlpandasserverlessgenerative-aiapache-sparkvector-databases

Hiring: Python + AI / AWS Architect

Location: Bangalore

Experience: 6–9 Years

Role: Python + AI / Cloud Architecture

About the Role

We are looking for an experienced Python + AI / AWS Architect with strong expertise in cloud architecture, Python backend development, Generative AI, and modern DevSecOps practices. The ideal candidate should be capable of designing scalable cloud-native solutions and building AI-powered applications using modern frameworks.

Key Responsibilities

- Design and implement scalable, secure AWS cloud architectures.

- Develop high-performance backend services using Python and FastAPI.

- Build and integrate Generative AI, RAG, and LLM-based applications.

- Develop AI workflows using LangChain and related frameworks.

- Implement infrastructure using Terraform and Infrastructure as Code (IaC).

- Follow DevSecOps, CI/CD, security, and cloud governance best practices.

- Collaborate with frontend teams and contribute to React-based applications when required.

- Work with relational and analytical data using SQL, Pandas, and PySpark.

- Optimize applications for scalability, performance, reliability, and security.

- Provide technical guidance and contribute to architecture and design decisions.

Must-Have Skills

- 6–9 years of overall IT experience

- AWS Architecture & Services

- Python

- FastAPI / Python Backend Development

- Generative AI / GenAI

- RAG (Retrieval-Augmented Generation)

- LangChain

- Terraform

- DevSecOps

- SQL

- Pandas

- PySpark

Good-to-Have Skills

- React / Frontend Development

- LLM application development

- Vector databases and embeddings

- AWS serverless and container services

- CI/CD automation

- Cloud security and monitoring

Ideal Candidate

The ideal candidate combines strong Python backend and AWS architecture expertise with hands-on experience in GenAI/RAG solutions and modern cloud engineering practices. Experience taking AI solutions from architecture through development and deployment will be highly valued.

Interested candidates can share their updated CV.

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