Python-AWS Bedrock Developer

We are seeking a skilled Python Developer with AWS Bedrock expertise to design and build Generative AI-powered applications on AWS. The ideal candidate will work on LLM integration, API development, and scalable AI solutions, leveraging AWS cloud services.

Key Responsibilities:

Generative AI & AWS Bedrock:

Develop and deploy AI applications using AWS Bedrock (LLMs and foundation models)
Integrate models such as Anthropic Claude, Amazon Titan, etc.
Design and optimize prompt engineering strategies
Build use cases like:

Chatbots
Document summarization
Q&A systems (RAG)
Recommendation engines

Python Development

Build backend services using Python (FastAPI, Flask)
Develop APIs to integrate AI models into applications
Create reusable modules and services for AI workflows

Cloud Development (AWS)

Work with AWS services:

Lambda (serverless)
API Gateway
S3 (storage)
DynamoDB / RDS

IAM & VPC:

Design scalable, secure cloud-native architectures

Data & AI Pipeline Development:

Build RAG (Retrieval-Augmented Generation) pipelines
Integrate with:

Vector databases (Pinecone, FAISS, Open Search)

Data sources and APIs:

Handle preprocessing, embedding, and inference workflows

Dev

Ops & Deployment:

Implement CI/CD pipelines using:

GitHub Actions / Jenkins / AWS Code Pipeline

Deploy AI applications using Docker (preferred)
Monitor systems using CloudWatch, X-Ray

Security & Governance:

Implement secure access to Bedrock models using IAM policies
Ensure data privacy and compliance
Protect APIs and manage authentication/authorization

Required Skills & Qualifications:

Core Skills:

3–6 years of experience in Python development
Hands-on experience with AWS (mandatory)

Exposure or experience with AWS Bedrock / Generative AI:

Programming

Strong proficiency in:

Python

REST API development:

Experience with:

FastAPI / Flask
JSON, API integrations

Cloud & AI Skills:

Strong understanding of:

Serverless architecture
LLM-based applications

Familiarity with prompt engineering and RAG concepts

AWS Services

Lambda, API Gateway
S3, DynamoDB/RDS
IAM, VPC

Preferred Qualifications:

Experience with Lang Chain / Llama Index:

Knowledge of vector databases (FAISS, Pinecone, Open Search)
AWS Certifications (Solutions Architect / AI Specialty – preferred)
Experience with Terraform (IaC)

• Primary skills:Technology->AWS Bedrock, python

Education: MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

• Preferred skills: Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock),Technology->Open System->Python
• Open System->Python