Senior Software Engineer - AI Agents & GenAI

GSSTech Group; Dubai; On-site; AED 240,000 - 360,000; Full time

Job summary

GSSTech Group is seeking a highly motivated Senior Software Engineer (AI Agents & GenAI) in Dubai to design, build, and deploy autonomous AI agent solutions and microservices integrated with enterprise platforms. You will work in a backend-focused role leveraging Node.js/TypeScript and modern agent frameworks to orchestrate multi-step workflows, tool calls, and secure API integration.

The ideal candidate has 3–5 years of hands-on experience with LLM-based applications, strong Node.js/TypeScript

Qualifications

• 3–5 years of hands-on experience building LLM-based applications, AI agents, and backend services.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Strong Node.js/TypeScript backend development experience.
• Experience with LangChain and LangGraph or similar agent frameworks.
• Familiarity with Oracle AI Agent Studio and Oracle Fusion HCM Cloud.
• Excellent technical documentation and ownership mindset.

Responsibilities

• Translate complex business requirements into AI agent solutions using LangChain/LangGraph or Oracle AI Agent Studio.
• Design and execute multi-step agentic workflows with agent/tool calls and supervisor/worker patterns.
• Implement context management, model selection, caching, and guardrails to optimize latency and reduce hallucinations.
• Establish and manage workflow triggers across event-based, cron, webhook-based, and user-initiated flows.
• Build and maintain backend microservices using Node.js and TypeScript; integrate with REST/SOAP APIs and databases.
• Set up testing, monitoring, logging, and long-term documentation for maintainability.

Skills

Node.js/TypeScript

LLM orchestration

Prompt engineering

API integration

Git & CI/CD

Microservices architecture

Education

Bachelor's/Master's in CS/SE/AI

Tools

LangChain

LangGraph

Oracle AI Agent Studio

Oracle Fusion HCM Cloud

REST/SOAP APIs

OAuth/SSO

Job description

We are seeking a highly motivated, hands‑on Senior Software Engineer (AI Agents & GenAI) to join an enterprise technology team in Dubai. Operating within the Software Engineering Chapter, this role focuses on designing, building, and deploying autonomous AI agent solutions, custom tools/skills, and microservices integrated with enterprise platforms (including Oracle Fusion HCM Cloud).

The ideal candidate brings strong backend development experience in Node.js/TypeScript, deep expertise in LLM orchestration (LangChain/LangGraph), and practical skills in building reliable, multi‑step agentic workflows and tool‑calling mechanisms from ground up.

Key Responsibilities

1. AI Agent Development & Orchestration

• Translate complex business requirements into working AI agent solutions using frameworks like LangChain, LangGraph, or Oracle AI Agent Studio.
• Design and execute multi‑step agentic workflows (sequential, conditional, and parallel agent/tool calls, supervisor‑worker patterns, and agent‑to‑agent handoffs).
• Implement advanced context management, model selection, caching, and guardrails to optimize for latency, cost, and hallucination reduction.
• Establish and manage workflow triggers across event‑based, schedule‑based (cron), webhook‑based, and user‑initiated execution flows.

2. Prompt Engineering & Custom Tooling

• Write and refine advanced prompt architecture (system prompts, role‑based prompting, few‑shot/zero‑shot design, chain‑of‑thought structuring, structured JSON/XML outputs).
• Build and maintain custom tools, skills, and functions for agents to perform data lookups, calculations, document generation, and external action executions.
• Protect AI solutions against prompt injection attacks and handle edge‑case failures gracefully.

3. Backend Microservices & System Integration

• Build and maintain scalable backend microservices using Node.js and TypeScript.
• Integrate AI agents with internal and external REST/SOAP APIs, managing authentication (OAuth, SSO, API Keys), response parsing, retry mechanisms, and error handling.
• Perform database operations across relational and non‑relational database storage layers.
• Set up and manage version control (Git) and CI/CD pipelines for smooth agent and code deployment.

4. Testing, Monitoring & Maintenance

• Thoroughly test agent behavior, evaluating non‑deterministic outputs and edge cases systematically.
• Set up logging, tracing, and evaluation frameworks for production AI agent monitoring and debugging.
• Maintain clear architectural, API, and prompt documentation for long‑term platform maintainability.

Technical Specifications & Skills

Core AI & LLM Stack (Essential)

• LLM Fundamentals: Solid grasp of tokens, temperature, top_p, streaming data, context windows, and non‑deterministic logic.
• Prompt Engineering & Tools: Expert in structured outputs, function/tool calling, guardrails, and advanced techniques (Chain‑of‑Thought, RAG / Vector Databases).
• Agentic Frameworks: Hands‑on experience with LangChain, LangGraph, or similar agent frameworks; exposure to MCP (Model Context Protocol).
• API & Integration: Deep experience with REST/SOAP APIs, webhooks, and secure authentication (OAuth, SSO).

Backend & Engineering Stack (Essential)

• Languages & Architecture: Strong proficiency in Node.js and TypeScript within a Microservices architecture.
• Databases & DevOps: Experience with Relational and NoSQL databases, Git version control, and CI/CD pipelines.

Preferred / Added Advantages

• Experience with Oracle AI Agent Studio and Oracle Fusion HCM Cloud.
• Experience building multi‑agent systems and supervisor/worker agentic patterns.
• Familiarity with AI monitoring, observability, and evaluation tools.

Qualifications & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
• Experience: 3–5 years of hands‑on experience building LLM‑based applications, AI agents, and backend services in production environments.
• Soft Skills: Strong ownership mindset, analytical troubleshooting skills for AI systems, and excellent technical documentation capabilities.