Senior Backend Engineer
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Key skills for this role
About the Role
Cander is looking for a Senior Backend Engineer to architect and develop production-grade backend systems for an AI-driven transformation. The role involves designing secure, high-performance microservices, integrating with enterprise systems like SAP S/4HANA, and building orchestration layers for AI agents.
Key Skills for This Role
Responsibilities
- Design and architect the orchestration layer for AI agents (Agent of Agents framework)
- 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
- 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
- Develop robust external API connectors for data feeds to power Supply Chain Risk Scoring engines
- Design and deploy defense grade security services, including Gateway & Policy Guard
- Optimize systems for strictly air gapped or on premise deployment
- Implement comprehensive reliability engineering practices, including logging, tracing, monitoring, and observability
Requirements
- 5+ years of experience in Backend Engineering with a focus on building distributed systems or platforms that serve ML/AI models in production
- Expert proficiency in Python (FastAPI/Django) for AI integration and strong experience with Go or Java for high performance microservices
- Deep experience with Docker and Kubernetes for deploying scalable applications in on premise environments
- Strong background in designing RESTful APIs and gRPC services, with experience building API Gateways
- Proficiency with Relational Databases (PostgreSQL) and Vector Databases (Weaviate, Milvus)
- 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 that passes rigorous 'Stage Gate' reviews
- Experience building systems requiring high availability, auditability, and defense grade security
- Proven track record of collaborating with Data Scientists and Frontend Engineers
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.
- As the technical lead for Workstream 2: Build, you will construct robust, on premise microservices that power the clients engineering platform and autonomous iAI agents.
- Operating within a structured Stage Gate delivery framework, ensuring all software adheres to stringent security, reliability, and compliance standards.
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.
- 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 (e.g., Weaviate) and Retrieval Augmented Generation (RAG) models.
- Develop robust external API connectors for data feeds (e.g., S&P Global, Orbis) to power Supply Chain Risk Scoring engines.
- Design and deploy defense grade security services, including Gateway & Policy Guard.
- Optimize systems for strictly air gapped or on premise deployment.
- Implement comprehensive reliability engineering practices, including logging, tracing, monitoring, and observability mechanisms.
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 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).
- 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 that passes rigorous 'Stage Gate' reviews.
- Experience building systems requiring high availability, auditability, and defense grade security.
- Proven track record of collaborating with Data Scientists to productize models and working with Frontend Engineers.
- Experience implementing comprehensive logging, tracing, monitoring, and observability mechanisms.
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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