Senior Backend Engineer
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Key skills for this role
About the Role
Cander seeks a Senior Backend Engineer in Abu Dhabi to architect and develop production-grade backend systems for AI-driven transformation.
Key Skills for This Role
Responsibilities
- Design and architect the orchestration layer for AI agents (Agent of Agents framework), coordinating specialized AI workers
- Develop the Task Router & Intent Classifier services to map user prompts to specific skills or playbooks
- Build scalable, containerized microservices optimized for high concurrency requests within the LeverEDGE platform
- Construct a secure Data Access Layer (DAL) for SAP S/4HANA and Ariba connectivity
- Engineer a scalable, secure, and observable connection layer for the central data lakehouse platform
- Implement backend logic to interface with Vector Databases and RAG models for Knowledge Mining Chatbot
- Develop robust external API connectors for data feeds (e.g., S&P Global, Orbis) to power Supply Chain Risk Scoring
- Design and deploy defense grade security services including Gateway & Policy Guard for authentication, RBAC, and data redaction
- Optimize systems for strictly air gapped or on premise deployment on local GPU clusters
- Implement comprehensive reliability engineering practices including logging, tracing, monitoring, and observability
Requirements
- 5+ years of experience in Backend Engineering with focus on building distributed systems or platforms serving ML/AI models in production
- Expert proficiency in Python (FastAPI/Django) for AI integration
- Strong experience with Go or Java for high performance microservices
- Deep experience with Docker and Kubernetes for on premise deployment
- Strong background in designing RESTful APIs and gRPC services, with API Gateway experience
- Proficiency with PostgreSQL and Vector Databases (Weaviate, Milvus)
- Experience building systems requiring high availability, auditability, and defense grade security
Full Job Posting
Job Summary
- Senior Backend Engineer to architect and develop the production grade application infrastructure for an AI driven transformation.
- Design and implement secure, high performance backend systems that serve as the foundational ‘nervous system’ for AI agents.
- Enable seamless interaction between LLMs and critical enterprise systems such as industrial ERPs and sensitive engineering data.
Key Responsibilities
- Design and architect the orchestration layer for AI agents (Agent of Agents framework), coordinating specialized AI workers such as Controllership Agent and Treasury Agent, while managing state, task routing, and error handling.
- Develop the Task Router & Intent Classifier services to map user prompts to specific skills or playbooks, ensuring deterministic execution for critical financial and engineering workflows.
- Build scalable, containerized microservices optimized for high concurrency requests within the LeverEDGE platform, delivering low latency responses for real time market intelligence and design trade off analysis.
- Construct a secure Data Access Layer (DAL) for SAP S/4HANA and Ariba connectivity, enforcing strict validation logic before any transaction is committed to ensure data integrity and security.
- Engineer a scalable, secure, and observable connection layer for the central data lakehouse platform, ensuring all read transactions are authenticated, authorized, and audited.
- Implement backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Augmented Generation (RAG) models, enabling the Knowledge Mining Chatbot to securely query historical proposals and technical documents.
- Develop robust external API connectors for data feeds (e.g., S&P Global, Orbis) to power Supply Chain Risk Scoring engines and LeverEDGE component comparative analysis, with handling for rate limiting, caching, and data normalization.
- Design and deploy defense grade security services, including Gateway & Policy Guard, to enforce Authentication, Role Based Access Control (RBAC), and redaction of Personally Identifiable Information (PII) and International Traffic in Arms Regulations (ITAR) data before it reaches Large Language Mode
- Optimize systems for strictly air gapped or on premise deployment, ensuring efficient resource usage on local GPU clusters rather than relying on cloud scaling.
- Implement comprehensive reliability engineering practices, including logging, tracing, monitoring, and observability mechanisms, adhering to EDGE Group policies and enterprise best practices for high availability and auditability.
Required Qualifications
- 5+ years of experience in Backend Engineering with a focus on building distributed systems or platforms that serve ML/AI models in production environments.
- Expert proficiency in Python (FastAPI/Django) for AI integration and strong experience with Go or Java for high performance microservices development.
- Deep experience with Docker and Kubernetes (k8s) for deploying scalable applications in on premise environments.
- Strong background in designing RESTful APIs and gRPC services, with experience building API Gateways (e.g., Kong, NGINX) for traffic management and security.
- Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
- Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.
- Ability to thrive in a structured 'Governance Collision' environment, delivering Agile software (Sprints, MVPs) that passes rigorous 'Stage Gate' reviews and Systems Engineering audits.
- Experience building systems requiring high availability, auditability, and defense grade security, preferably in Fintech, Healthcare, or Defense sectors.
- Proven track record of collaborating with Data Scientists to productize models and working with Frontend Engineers to deliver seamless user experiences.
- Experience implementing comprehensive logging, tracing, monitoring, and observability mechanisms adhering to enterprise best practices.
Technical Skills
- Expert proficiency in Python (FastAPI/Django) for AI integration and backend development, with strong experience in building scalable microservices using Go or Java for high performance applications.
- Deep expertise in containerization and orchestration with Docker and Kubernetes (k8s), including deployment and management of scalable applications in on premise environments.
- Strong background in designing and implementing RESTful APIs and gRPC services, with hands on experience building and securing API gateways (e.g., Kong, NGINX) for traffic management and authentication.
- Proven proficiency in relational databases such as PostgreSQL for transactional data management, alongside experience with vector databases (Weaviate, Milvus) for semantic search and retrieval augmented generation (RAG) applications.
- Familiarity with enterprise integration patterns and ERP protocols, including OData and SOAP, to facilitate secure and scalable connectivity with systems like SAP S/4HANA and Ariba.
- Experience implementing defense grade security measures, including authentication, role based access control (RBAC), and data redaction for personally identifiable information (PII) and International Traffic in Arms Regulations (ITAR) sensitive data.
- Knowledge of scalable data lakehouse architectures and secure, observable connection layers for centralized data platforms, ensuring authenticated, authorized, and audited transactions.
- Strong foundation in reliability engineering, including comprehensive logging, tracing, monitoring, and observability mechanisms adhering to enterprise best practices for high availability systems.
- Experience optimizing systems for air gapped or on premise deployment, with an emphasis on efficient resource utilization on local GPU clusters rather than cloud based scaling.
Company And Project Focus
- This role is centered within a dynamic and innovative technology company that prioritizes scalable, high performance backend systems.
- You will contribute to a mission critical project focused on developing robust, efficient, and maintainable backend architectures.
- The project emphasizes modern engineering practices, leveraging cutting edge technologies to deliver solutions that drive business growth and operational excellence.
- Your work will directly impact core infrastructure, ensuring reliability, security, and seamless integration across systems.
Location and Company
- This role is based in Abu Dhabi, United Arab Emirates (UAE).
- The position is focused on the development and deployment of iAI Agent Orchestration systems, which require on premise and secure infrastructure alignment with national defence and enterprise grade standards.
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