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 architectures
- LLM orchestration
- Secure enterprise integrations
- Prompt engineering
- Vector search systems
Key Responsibilities
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
Prompt Engineering & Reliability
- Design and optimise advanced prompt frameworks
- Build guardrails and fallback logic for enterprise stability
- Implement evaluation frameworks to measure hallucination and output consistency
Full Stack Engineering (Node.js / React)
- 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
Secure Enterprise Integration
- Integrate GenAI services using secure API frameworks
- Implement role-based access control
- Ensure compliance and sensitive data handling standards
AI Tooling & Frameworks
- 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
Requirements
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
Preferred Experience
- 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
Ideal Candidate Profile
- Builder mindset
- Enterprise-grade engineering discipline
- Comfortable working in high-security environments
- Able to ship production AI, not just prototypes
