# Senior Software Engineer - AI Agents & GenAI

**Company:** [GSSTech Group](http://jobs.workable.com/companies/cu9XaZB8i9r9X8CdwN62f7.md)
**Location:** Dubai, United Arab Emirates
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/c489bf36-e2e7-40d3-9174-2090e4d9dc8d)

## 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.

## Requirements

### 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.