linkedin
AI Native Engineer
cruq.ai
Abu Dhabi, UAE
Full Time
Senior
3 days ago
System ArchitectureRAG Pipeline DesignLangGraphLangChainPythonCloud Platforms (Azure, AWS, GCP)
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
System ArchitectureRAG Pipeline DesignLangGraph
About the Role
cruq.ai is seeking an AI-Native Software Engineer to architect systems, design technical specifications, and orchestrate multi-agent workflows. The role involves RAG pipeline design, agentic workflow management, and reviewing AI-generated code.
Key Skills for This Role
System ArchitectureRAG Pipeline DesignLangGraphLangChainPythonCloud Platforms (Azure, AWS, GCP)
Responsibilities
- Define high level system structures, API contracts, and data models before instructing AI tools to implement them
- Author rigorous, unambiguous technical specifications and context rules to guide AI agents
- Architect and own end to end Retrieval Augmented Generation pipelines
- Build and operate agent harnesses using orchestration frameworks (e.g., LangGraph, LangChain, AutoGen)
- Design and enforce human in the loop gates for agentic write operations
- Review, test, and audit AI generated code for security vulnerabilities, performance, edge cases, and architectural alignment
Requirements
- Strong mastery of computer science fundamentals — data structures, algorithms, distributed systems, and system design
- Exceptional ability to read, evaluate, and critique AI generated code across multiple languages
- Hands on production experience building agent harnesses using LangGraph, LangChain, or equivalent
- Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search
- Advanced hands on experience with AI native IDEs (e.g., Cursor, Windsurf, GitHub Copilot) and command line agentic tools
- Proven ability to manage AI context windows, system instructions, tool schemas, and prompt structure
- Solid experience with cloud native deployment (Azure, AWS, or GCP), RESTful API design, async patterns
- Strong experience writing automated test suites to validate AI generated logic inside CI/CD pipelines
- Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent deep production experience
Full Job Posting
Job Summary
- We are seeking an AI Native Software Engineer who views AI not just as an autocomplete tool, but as a core collaborative partner in software delivery.
- In this role, you will spend less time manually writing boilerplate and more time architecting systems, designing precise technical specifications, and orchestrating multi agent workflows.
Core Responsibilities
- System Architecture & Design: Define high level system structures, API contracts, and data models.
- Context Engineering & Spec Writing: Author rigorous, unambiguous technical specifications.
- RAG Pipeline Design: Architect and own end to end Retrieval Augmented Generation pipelines.
- Agentic Workflow Management: Build and operate agent harnesses using orchestration frameworks.
- Human in the Loop Validation: Design and enforce HITL gates for agentic write operations.
- Review, test, and audit AI generated code for security vulnerabilities, performance, edge cases, and architectural alignment.
Required Technical Skills
- Engineering Fundamentals: Strong mastery of computer science fundamentals.
- Code Review & Auditing: Exceptional ability to read, evaluate, and critique AI generated code.
- Agentic System Design: Hands on production experience building agent harnesses.
- RAG & Retrieval Engineering: Practical experience designing RAG pipelines.
- AI Tooling Proficiency: Advanced hands on experience with AI native IDEs and command line agentic tools.
- Context & Prompt Engineering: Proven ability to manage AI context windows and prompt structure.
- Cloud & API Integration: Solid experience with cloud native deployment and RESTful API design.
- Testing & CI/CD: Strong experience writing automated test suites for AI generated logic.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent deep production experience.
- Experience integrating with enterprise HR, workforce, or ERP platforms (e.g., SAP SuccessFactors, Workday, Concur, or Oracle HCM).
- Hands on ML experience beyond API consumption: model fine tuning, training pipelines, evaluation frameworks, or MLOps deployment.
- Familiarity with enterprise identity providers (e.g., OKTA, Azure AD) and secure token handling in agentic contexts.
- A portfolio or GitHub repository demonstrating projects built primarily via agentic or spec driven development methodologies.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career