
Backend Engineer
2 weeks ago
Backend Engineer (Python, AI, AWS) – 3+ Years
Role Overview
We are looking for a Backend Engineer with 3+ years of experience in Python (FastAPI/ Flask), AWS cloud infrastructure, and AI/ML integration. You will design scalable APIs, manage cloud-native deployments, and work with AI/LLM frameworks to power modern applications.
Key Responsibilities
- Build and maintain scalable APIs with Python (FastAPI / Flask); optional exposure to
- Deploy, manage, and automate AWS services (Lambda, ECS, Step Functions, DynamoDB, API Gateway, EventBridge, SNS, SQS, Cognito, S3, ECR, IAM, Bedrock, KMS).
- Write Terraform scripts for Infrastructure-as-Code.
- Set up CI/CD pipelines (GitHub Actions; Jenkins familiarity).
- Containerize and deploy with Docker.
- Work with databases: DynamoDB, Postgres, MySQL; object storage on S3.
- Implement auth flows with Cognito and Google OAuth; integrate Google APIs (auth, calendar).
- Support AI/ML workflows: model training (Transformers, Random Forest, K-Means), deployment on GPU instances, integration of open-source models.
- Develop LLM agents using LangChain/LangGraph, MCP tools, function calling, streaming, guardrails.
- Build RAG pipelines (Pinecone vector stores; optional Graph RAG with AWS Neptune/Neo4j).
- Leverage AWS Bedrock for generative AI solutions.
- Collaborate via Git/GitHub (branching, PR reviews, conflict resolution).
Qualifications
- 3+ years backend engineering experience.
- Strong in Python (FastAPI / Flask), AWS cloud, Terraform, Docker, CI/CD pipelines.
- Database expertise (SQL + NoSQL).
- Solid foundation in data structures & algorithms.
- Hands-on experience with AI/ML workflows, LLM frameworks (LangChain/LangGraph), and RAG pipelines in production environments.
- Nice to have: (microservices), Graph RAG (Neo4j/AWS Neptune), React/TypeScript.
Job Type: Full-time
Pay: ₹600, ₹1,200,000.00 per year
Benefits:
- Flexible schedule
- Internet reimbursement
- Paid time off
- Work from home
Experience:
- Python: 3 years (Required)
- AWS: 2 years (Required)
Work Location: Remote
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