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FlatGigs is hiring on behalf of a confidential enterprise banking client undergoing a large-scale Trade Transformation initiative powered by Generative AI.
We are looking for high-impact engineers who can design and deploy enterprise-grade Agentic AI systems integrating LLMs with secure structured private data environments.
This is not a research role. This is production engineering inside regulated enterprise systems.
Immediate joiners are strongly preferred.
Role Overview
The AI Engineer will design, build, and deploy advanced multi-agent AI systems embedded within enterprise trade platforms.
The role requires strong full-stack engineering capability combined with deep expertise in:
Agentic AI & LLM Architecture
Required Qualifications
We are looking for high-impact engineers who can design and deploy enterprise-grade Agentic AI systems integrating LLMs with secure structured private data environments.
This is not a research role. This is production engineering inside regulated enterprise systems.
Immediate joiners are strongly preferred.
Role Overview
The AI Engineer will design, build, and deploy advanced multi-agent AI systems embedded within enterprise trade platforms.
The role requires strong full-stack engineering capability combined with deep expertise in:
- Agentic AI architectures
- LLM orchestration
- Secure enterprise integrations
- Prompt engineering
- Vector search systems
Agentic AI & LLM Architecture
- Design and implement end-to-end multi-agent workflows
- Connect LLMs with structured private enterprise data
- Build modular AI agents with reasoning and tool orchestration
- Ensure explainability and traceability in regulated environments
- Design and optimise advanced prompt frameworks
- Build guardrails and fallback logic for enterprise stability
- Implement evaluation frameworks to measure hallucination and output consistency
- Develop scalable backend services using Node.js (Express / NestJS)
- Build secure frontend applications using React + TypeScript
- Develop RESTful APIs exposing AI workflows
- Embed AI modules into enterprise trade systems
- Integrate GenAI services using secure API frameworks
- Implement role-based access control
- Ensure compliance and sensitive data handling standards
- Build using LangChain / LangGraph for multi-agent orchestration
- Implement memory layers and workflow graphs
- Work with vector databases (Redis preferred)
- Design and optimise RAG (Retrieval-Augmented Generation) pipelines
Required Qualifications
- 5+ years of full-stack software engineering experience
- Strong hands-on experience with Node.js and React
- Proven experience building LLM-powered production systems
- Experience designing multi-agent AI workflows
- Strong understanding of vector databases (Redis preferred)
- Experience building secure AI systems in regulated domains
- Trade Finance / Treasury / Capital Markets exposure
- Model evaluation frameworks or LLMOps exposure
- Containerisation (Docker / Kubernetes)
- CI/CD pipeline integration
- AI governance and data compliance understanding
- Builder mindset
- Enterprise-grade engineering discipline
- Comfortable working in high-security environments
- Able to ship production AI, not just prototypes
Key Skills
Ranked by relevance
ai
react
redis
restful apis
kubernetes
typescript
embedded
docker
cicd
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- Posted
- Feb 24, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Dubai
- Company
- Flatgigs
Industries
IT Services
IT Consulting
Categories
Other
Related Jobs
3 roles aligned with this opportunity
View Job Details
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2026-05-27
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View Job Details
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Full Stack Node React
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