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Python + Gen AI Developer

  • Source: Naukri
  • Capgemini
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

**Senior Python AWS GenAI Engineer Backend & Cloud Development**

Experience

6-12 Years

Location

Hyderabad, Pune, Bangalore, Chennai / Hybrid

Job Overview

We are seeking a highly skilled Senior Backend & Cloud Engineer with strong expertise in Python, AWS Cloud, and Generative AI technologies. The ideal candidate should have hands-on experience designing and building scalable AI-powered applications using RAG architectures, Agentic AI frameworks, Vector Databases, and AWS Bedrock. The role involves developing cloud-native solutions, integrating LLMs, and building high-performance backend systems on AWS.

Mandatory Requirements

  • Minimum 6+ years of overall software development experience
  • Minimum 3+ years of hands-on Generative AI experience
  • Strong expertise in Python development
  • Experience developing and deploying AI/ML applications in AWS environments
  • Strong understanding of distributed systems, cloud-native architectures, and scalable backend development

Key Responsibilities

  • Design and develop enterprise-grade Generative AI applications using LLMs and AWS services.
  • Build and optimize RAG (Retrieval Augmented Generation) pipelines.
  • Develop Agentic AI solutions and multi-agent workflows.
  • Integrate and manage Vector Databases for semantic search and knowledge retrieval.
  • Build scalable REST APIs and microservices using Python frameworks.
  • Design event-driven and serverless architectures on AWS.
  • Collaborate with product, engineering, and AI teams to deliver innovative AI solutions.
  • Ensure application reliability, security, scalability, and performance.

Required Technical Skills

Generative AI

  • Generative AI / LLM Application Development
  • RAG (Retrieval Augmented Generation)
  • Agentic AI / AI Agents
  • Prompt Engineering
  • LangChain / LangGraph
  • AWS Bedrock
  • MCP/NCP Protocols
  • Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB, OpenSearch Vector, etc.)

Python Development

  • Core Python
  • Multithreading & Multiprocessing
  • FastAPI
  • Flask
  • Django
  • REST API Development
  • Asynchronous Programming

AWS Cloud

  • AWS Bedrock
  • AWS Lambda
  • DynamoDB
  • S3
  • SNS
  • SQS
  • SES
  • AWS Step Functions
  • AWS Fargate
  • API Gateway
  • ECS/EKS

DevOps & Cloud Infrastructure

  • Docker
  • Kubernetes
  • Terraform
  • CloudFormation
  • AWS CDK
  • CI/CD Pipelines
  • GitHub Actions
  • Azure DevOps
  • AWS CodePipeline

Monitoring & Observability

  • CloudWatch
  • Grafana
  • Prometheus

Preferred Qualifications

  • Experience building production-grade GenAI applications.
  • Knowledge of LLM fine-tuning and model evaluation.
  • Experience with enterprise AI adoption and deployment.
  • Exposure to MLOps and AI governance frameworks.
  • Strong system design and architecture skills.

What We Are Looking For

  • Hands-on developer, not just a coordinator or architect.
  • Strong GenAI implementation experience with real-world projects.
  • Ability to work across AI, Backend, and Cloud technologies.
  • Excellent problem-solving and debugging skills.
  • Strong communication and stakeholder management skills.

Skills

  • Python
  • amazon-web-services
  • serverless
  • LangChain
  • LangGraph
  • bedrock
  • FAISS
  • opensearch
  • FastAPI
  • Flask
  • Django
  • aws-lambda
  • aws-step-functions
  • aws-fargate
  • amazon-ecs
  • Docker
  • Kubernetes
  • Terraform
  • Github
  • github-actions
  • microsoft-azure
  • azure-devops
  • aws-codepipeline
  • amazon-cloudwatch
  • Grafana
  • Prometheus

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