Senior Backend Engineer
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Key skills for this role
About the Role
Cander is seeking a Senior Backend Engineer to architect and develop production-grade application infrastructure for AI-driven transformation. The role involves designing secure, high-performance backend systems for AI agents, integrating with enterprise ERPs and engineering data.
Key Skills for This Role
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, to enforce Authentication, RBAC, and data redaction
- Optimize systems for strictly air gapped or on premise deployment
- Implement comprehensive reliability engineering practices, including logging, tracing, monitoring, and observability mechanisms
Requirements
- 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) for traffic management and security
- Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications
- 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
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 Large Language Models (LLMs) and critical enterprise systems such as industrial ERPs and sensitive engineering data.
- Operate 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).
- Develop the Task Router & Intent Classifier services.
- 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.
- Design and deploy defense grade security services.
- Optimize systems for strictly air gapped or on premise deployment.
- Implement comprehensive reliability engineering practices.
Required Qualifications
- 5+ years of experience in Backend Engineering with a focus on distributed systems or platforms serving ML/AI models in production.
- Expert proficiency in Python (FastAPI/Django) and strong experience with Go or Java.
- Deep experience with Docker and Kubernetes for on premise deployments.
- Strong background in RESTful APIs and gRPC services, with API Gateway experience.
- Proficiency with PostgreSQL and Vector Databases (Weaviate, Milvus).
- Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a plus.
- Experience building systems requiring high availability, auditability, and defense grade security.
- Proven track record of collaborating with Data Scientists and Frontend Engineers.
- Experience implementing logging, tracing, monitoring, and observability mechanisms.
Technical Skills
- Expert proficiency in Python (FastAPI/Django) and Go or Java.
- Deep expertise in Docker and Kubernetes.
- Strong background in RESTful APIs and gRPC services, with API gateway experience.
- Proven proficiency in PostgreSQL and vector databases (Weaviate, Milvus).
- Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP).
- Experience implementing defense grade security measures.
- Knowledge of scalable data lakehouse architectures.
- Strong foundation in reliability engineering.
- Experience optimizing systems for air gapped or on premise deployment.
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.
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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