AI Engineer - GenAI & Agentic Systems

Flatgigs

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