Senior Python AWS GenAI Engineer | Backend & Cloud Development
Experience
6-12 Years
Location
Hyderabad, Pune, Bangalore, Chennai / Hybrid
Job Overview
Senior Backend & Cloud Engineer
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.
