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 Responsibilities2. Prompt Engineering & Custom Tooling3. Backend Microservices & System Integration4. Testing, Monitoring & MaintenanceTechnical Specifications & Skills • 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 • 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 • 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 • 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 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 Show more Show less

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field. 3-5 years of hands-on experience building LLM-based applications, AI agents, and backend services in production environments.

Prompt Engineering & Custom Tooling; Backend Microservices & System Integration; Testing, Monitoring & Maintenance. 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, implement context management, model selection, caching, and guardrails, establish workflow triggers, write advanced prompt architectures, build and maintain custom tools for agents, protect against prompt injection, build scalable backend microservices with Node.js/TypeScript, integrate with REST/SOAP APIs, perform database operations, manage Git and CI/CD, thoroughly test agent behavior, set up logging/tracing/evaluation frameworks, and maintain documentation.