Senior Backend Engineer
Technical Team
KLUGSYS
Dubai / Remote / India
Full Time
Application Deadline: 1/31/2026
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, DevOps, 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, CloudFormation
- CI/CD: GitHub Actions
- Cloud Services: API Gateway, Lambda, S3, DynamoDB, 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), LangChain, Pinecone, Vector DBs, Embedding APIs
- Observability: CloudWatch, X-Ray, OpenTelemetry, Prometheus
Responsibilities
- Design, build, and maintain microservices using Python (FastAPI) and Docker.
- Develop and expose secure APIs (REST, WebSocket) 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, OpenSearch, External APIs, LiveKit 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 (CloudWatch, X-Ray), and logging pipelines.
- Enforce secure API access using Cognito, JWT, and API Gateway Authorizers.
- 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 CloudWatch, 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
Diversity & Inclusion
Klugsys is proud to be an equal opportunity employer. We celebrate diversity and are dedicated to fostering an inclusive space for all team members — regardless of gender, background, orientation, or beliefs.
Ready to Apply?
Join our team and help shape the future of technology