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Senior AI-Native Engineer
Celebal Technologies
Abu Dhabi, UAE
Full Time
Senior
1 weeks ago
data structuresalgorithmsdistributed systemssystem designLangGraphLangChain
Free
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data structuresalgorithmsdistributed systems
About the Role
Celebal Technologies is seeking a Senior AI-Native Engineer in Abu Dhabi to architect systems, design technical specifications, and orchestrate multi-agent workflows. The role requires strong CS fundamentals, experience with AI agent frameworks, RAG pipelines, and cloud-native deployment.
Key Skills for This Role
data structuresalgorithmsdistributed systemssystem designLangGraphLangChain
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 RAG pipelines (document ingestion, chunking, embedding, vector store, hybrid retrieval, relevance evaluation)
- Build and operate agent harnesses using orchestration frameworks (LangGraph, LangChain, AutoGen) including tool definitions, routing logic, guardrails, fallback paths, and evaluation hooks
- 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
- Contribute across backend services, APIs, and lightweight frontend surfaces as needed
- Guide AI agents through rapid prototyping loops, debugging cycles, and CI/CD pipelines
Requirements
- 8 10 years of experience
- Strong mastery of computer science fundamentals (data structures, algorithms, distributed systems, system design)
- Exceptional ability to read, evaluate, and critique AI generated code across multiple languages
- Hands on production experience with agentic frameworks (LangGraph, LangChain, or equivalent)
- Practical experience designing RAG pipelines (vector store selection, embedding strategies, hybrid search, etc.)
- Advanced hands on experience with AI native IDEs (Cursor, Windsurf, GitHub Copilot) and command line agentic tools (Claude Code, Aider, Codex CLI)
- 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, and enterprise identity/auth integration
- Strong experience writing automated test suites to validate AI generated logic inside CI/CD pipelines
Full Job Posting
Overview
- We are seeking an AI Native Software Engineer who views AI as a core collaborative partner in software delivery.
- You will spend less time writing boilerplate and more time architecting systems, designing specifications, and orchestrating multi agent workflows.
Required Technical Skills
- 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 rapidly.
- Hands on production experience building agent harnesses, multi agent orchestration pipelines, and supervisor/routing patterns using LangGraph, LangChain, or equivalent.
- Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search, Reciprocal Rank Fusion, and retrieval quality evaluation.
- Advanced hands on experience with AI native IDEs (Cursor, Windsurf, GitHub Copilot) and command line agentic tools (Claude Code, Aider, Codex CLI).
- 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, and enterprise identity/auth integration.
- Strong experience writing automated test suites to validate AI generated logic inside modern CI/CD pipelines.
Core 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 toward deterministic, reviewable outputs.
- Architect and own end to end Retrieval Augmented Generation pipelines, document ingestion, chunking strategy, embedding selection, vector store configuration, hybrid retrieval, and relevance evaluation.
- Build and operate agent harnesses using orchestration frameworks (e.g. LangGraph, LangChain, AutoGen) including tool definitions, routing logic, guardrails, fallback paths, and evaluation hooks.
- Design and enforce HITL gates for agentic write operations.
- Review, test, and audit AI generated code for security vulnerabilities, performance characteristics, edge cases, and architectural alignment before production.
- Contribute across backend services, APIs, and lightweight frontend surfaces as the scope demands.
- Guide AI agents through rapid prototyping loops, debugging cycles, and CI/CD pipelines.
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