Python-AWS Bedrock Developer

Responsibilities

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, OpenSearch)

Data sources and APIs

Handle preprocessing, embedding, and inference workflows

DevOps & Deployment

Implement CI/CD pipelines using:

GitHub Actions / Jenkins / AWS CodePipeline

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 LangChain / LlamaIndex

Knowledge of vector databases (FAISS, Pinecone, OpenSearch)

AWS Certifications (Solutions Architect / AI Specialty – preferred)

Experience with Terraform (IaC)

Technical requirements

Primary skills:Technology->AWS Bedrock, python

Education

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