08/09/2026 updated


100 % available
Software Engineer | Python & AI/LLM Backend Developer | AWS Certified
New Delhi, India
Only remote
Bachelor of Technology, Computer Science & EngineeringAmazon Web ServicesCloud EngineeringAWS LambdaBackend ProgrammingTerraform
Python Backend Development
Expertise in building and shipping production-grade web applications and backend systems using Python frameworks such as FastAPI, Django, and Flask, including API design, database schema management, and containerized deployment.
AI & LLM Engineering
Hands-on experience with applied AI and LLM engineering, including RAG pipelines, agentic workflows, and natural-language data retrieval using LangChain, LangGraph, Langflow, Claude Agents SDK, OpenAI Agents SDK, and AWS Bedrock.
AWS Cloud Infrastructure
Proficiency in designing and managing AWS production infrastructure across dev, test, and prod environments, covering services such as EC2, ECS/Fargate, Lambda, RDS, S3, API Gateway, CloudFront, Cognito, IAM, Secrets Manager, WAF, and CloudWatch.
Frontend Development
Experience with modern frontend stacks including React.js, Next.js, Tailwind CSS, Material UI, and Streamlit for building full-stack web applications.
Database Management
Knowledge of relational and NoSQL databases including PostgreSQL, MySQL, SQLite, and DynamoDB, as well as vector and graph databases such as Pinecone, Qdrant, FalkorDB, and Zep.
DevOps & CI/CD
Practical experience with DevOps tooling including Docker, Redis, RabbitMQ, GitHub Actions, GitLab CI, OpenTofu, Gunicorn, Vercel, Auth0, and Supabase, supporting containerization and CI/CD pipelines.
Data Engineering
Familiarity with data engineering tools and libraries including Pandas, NumPy, Polars, Apache Airflow, AWS Glue, Matplotlib, SciPy, and TensorFlow.
Azure & GCP
Experience with Azure Virtual Machines, Microsoft Entra ID, Azure App Registration, Google BigQuery, and Google Cloud Functions for cloud-based deployments and integrations.
GraphQL & API Design
Experience designing and implementing APIs using GraphQL (Strawberry) and RESTful principles, with documentation via Swagger/OpenAPI and adherence to Agile/Scrum and code review practices.
Expertise in building and shipping production-grade web applications and backend systems using Python frameworks such as FastAPI, Django, and Flask, including API design, database schema management, and containerized deployment.
AI & LLM Engineering
Hands-on experience with applied AI and LLM engineering, including RAG pipelines, agentic workflows, and natural-language data retrieval using LangChain, LangGraph, Langflow, Claude Agents SDK, OpenAI Agents SDK, and AWS Bedrock.
AWS Cloud Infrastructure
Proficiency in designing and managing AWS production infrastructure across dev, test, and prod environments, covering services such as EC2, ECS/Fargate, Lambda, RDS, S3, API Gateway, CloudFront, Cognito, IAM, Secrets Manager, WAF, and CloudWatch.
Frontend Development
Experience with modern frontend stacks including React.js, Next.js, Tailwind CSS, Material UI, and Streamlit for building full-stack web applications.
Database Management
Knowledge of relational and NoSQL databases including PostgreSQL, MySQL, SQLite, and DynamoDB, as well as vector and graph databases such as Pinecone, Qdrant, FalkorDB, and Zep.
DevOps & CI/CD
Practical experience with DevOps tooling including Docker, Redis, RabbitMQ, GitHub Actions, GitLab CI, OpenTofu, Gunicorn, Vercel, Auth0, and Supabase, supporting containerization and CI/CD pipelines.
Data Engineering
Familiarity with data engineering tools and libraries including Pandas, NumPy, Polars, Apache Airflow, AWS Glue, Matplotlib, SciPy, and TensorFlow.
Azure & GCP
Experience with Azure Virtual Machines, Microsoft Entra ID, Azure App Registration, Google BigQuery, and Google Cloud Functions for cloud-based deployments and integrations.
GraphQL & API Design
Experience designing and implementing APIs using GraphQL (Strawberry) and RESTful principles, with documentation via Swagger/OpenAPI and adherence to Agile/Scrum and code review practices.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Backend developer on a real-time alerting platform routing care-event notifications to staff mobile apps via push notifications. Built a Python/Flask alert microservice managing active alerts in memory, handling the full alert lifecycle across multiple device workflow types, and persisting changes asynchronously to MySQL through an internal message queue. Implemented startup migration handling, background threads for auto-close/auto-complete logic, and push notification dispatch to iOS through a PHP/Zend Framework 2 API gateway within a Dockerized microservice architecture.
DevOps engineer and code reviewer for two internal tools for an auto-parts company: a natural-language sales analytics tool and an Excel-based production scheduling system. Owned deployment and infrastructure on a Next.js/FastAPI stack on AWS EC2 with Docker, S3, and Cognito. Reviewed code across five sub-projects and supported Langflow-based natural-language-to-pandas query orchestration.
Full-stack contributor on a multi-tenant business intelligence platform enabling natural-language querying across 30+ database engines via a text-to-SQL service built with FastAPI and LangChain/LangGraph. Built agentic query workflows using Claude Agents SDK and Agno framework over AWS Bedrock, integrated FalkorDB knowledge graph, Qdrant and Pinecone for vector search, and LangSmith for LLM observability. Owned AWS production infrastructure across ECS/Fargate, RDS, ALB, API Gateway, CloudFront, Cognito, Secrets Manager, KMS, WAF, GuardDuty, Security Hub, CloudWatch, and CloudTrail.
Certificates
AWS Certified AI Practitioner
Amazon Web Services2026