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Experience
3 - 8 Years
Education
Masters in Computer Application(Computers), Master of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Key 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.
· Maintain modularity to support future portability to GCP or Azure if needed.
· Follow best practices in stateless services, decoupled APIs, and open standards (e.g., CloudEvents).
· Explore options like Kubernetes, Crossplane, or Pulumi for future polycloud strategy.
Job Summary: 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.
Required date: Immediately
Job Type: Full-Time
Experience Level: 8+ Years
Desired Candidate Profile
Required Qualifications & Skills:
· 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
Ideal Candidate Has:
· 7+ years in backend/cloud roles, with 3+ years in microservices on AWS.
· Experience building multi-tenant, secure, event-driven systems.
· Strong exposure to LLM orchestration, RAG models, and semantic vector search pipelines.
· Deep understanding of cloud-native patterns and DevSecOps principles.
· Familiarity with multi-modal AI (text, image, voice), embeddings, token limits, and context windows.
· Bonus: Prior experience designing for cloud-agnostic or multi-cloud deployments.
· Strong product thinking and the ability to turn business needs into technical architecture.
What You Can Expect from Us
• 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
Employment Type
- Full Time
Company Industry
- IT - Software Services
Department / Functional Area
- Engineering
Keywords
- Backend Architect
- Database Design
- Performance Tuning
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Klugsys PropTech
Klugsys PropTech L.L.C-MFZ is an innovative PropTech company based in Dubai, dedicated to transforming the real estate industry through cutting-edge AI technology. Our flagship platform, Hayy AI, leverages artificial intelligence to enhance property search, lead management, and agent productivity. We focus on delivering smart, transparent, and efficient solutions for buyers, sellers, and agents, with a vision to redefine real estate experiences across the region.
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