Senior Software Engineer - AI Agents & GenAI

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 Responsibilities1. 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 & SkillsCore 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.