Senior Backend Engineer

# Senior Backend Engineer Technical TeamKLUGSYSDubai / Remote / India Full Time Application Deadline: 3/30/2026##

Job Description We’re hiring a Senior Backend Engineer who brings deep expertise in backend engineering, cloud-native architecture, and a product-first mindset to deliver a next-generation AI-powered real estate platform. You’ll lead core system design and implementation — from microservices and CI/CD pipelines to event-based data processing and AI/LLM integrations.

This role also demands a strong grasp of LLM-based systems, especially Retrieval-Augmented Generation (RAG), multi-modal input handling, and cloud-agnostic strategies that ensure our platform remains scalable and portable across cloud environments.

You will collaborate with AI engineers, data scientists, Dev Ops, and frontend teams to translate vision into a production-grade system. This is a key role in our engineering team powering a next-gen AI-powered real estate app and web platform in the UAE market.## Requirements
* LLM-based systems
* RAG (Retrieval-Augmented Generation)
Multi-Modal Input Handling
* Multi-Modal Input Handling##

Preferred Qualifications & Skills (Optional)
* Languages & Frameworks:
Python (FastAPI), Node.js (optional), SQL
* Containerization:
Docker, ECS (Fargate), ECR
* Infra-as-Code:
Terraform, Cloud Formation
* CI/CD:
Git Hub Actions
* Cloud Services: API Gateway, Lambda, S3, Dynamo

DB, RDS, Pinecone, SNS, SQS, Glue, Athena, Step Functions, VPC
* Authentication:
Cognito, IAM, OAuth2, JWT, RBAC for each panel
* AI/LLM Integrations:
OpenAI GPT-4o, AWS Bedrock (Claude, Titan), Lang Chain, Pinecone, Vector DBs, Embedding APIs
* Observability:
Cloud Watch, X-Ray, Open Telemetry, Prometheus## Responsibilities
* Design, build, and maintain microservices using Python (FastAPI) and Docker.
* Develop and expose secure APIs (REST, Web Socket) for mobile, agent, and web apps.
* Implement features for user onboarding, search, recommendations, notifications, AI-based workflows, and analytics.
* Integrate external APIs (e.g. OpenAI, Open Search, External APIs, Live Kit and many more as a part of the project).
* Design and manage scalable infrastructure on AWS ECS (Fargate/EC2), Lambda.
* Handle secure multi-tenant environments with IAM roles, tagging, and isolation.
* Implement secure secrets management, monitoring (Cloud Watch, X-Ray), and logging pipelines.
* Enforce secure API access using Cognito, JWT, and API Gateway Authorize rs.
* Manage event-driven architecture, optimize cost, performance, and observability across services.
* Audit and monitor cloud usage, IAM policies, encryption standards, and compliance setups.
* Enable real-time integration with Generative AI APIs and LLM orchestration layers.
* Orchestrate AI-powered features including chat, recommendations, smart forms, and summarizations.
* Collaborate on RAG pipelines:
Integrate document stores (e.g., Pinecone), embeddings, and search layers.
* Design LLM-based microservices for tasks like semantic search, summarization, Q&A, and intent recognition.
* Work with the AI/ML team to abstract prompt templates, vector search APIs, and long-context data retrieval.
* Build fault-tolerant systems with autoscaling, secrets management, and role-based access control (RBAC).
* Monitor system health using Cloud Watch, Open Telemetry, X-Ray, Prometheus, and alarms.
* Streamline CI/CD for backend and infrastructure updates.##

What We Offer
* Collaborative and inclusive workplace culture Flexible work arrangements for work-life balance Transparent communication with a flat hierarchy Regular recognition and appreciation Continuous learning & mentoring programs Participation in meaningful and innovative projects Growth in both personal and professional dimensions
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