AI Engineer - Generative AI and Automation

Elevet Careers · Abu Dhabi, United Arab Emirates

Full Time · AED 18000

Job description

Role Overview We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI. Key Responsibilities - Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models - Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel - Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations - Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases - Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services - Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy - Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions - Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics - Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment - Develop MCP (Model Context Protocol) server integrations to extend agent capabilities Requirements - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered - 2 or more years of hands-on experience building production AI systems or intelligent automation solutions - Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks - Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications - Experience with vector databases and semantic search implementations is strongly preferred - Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications - Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial - Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines Technical Skills LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack Workflow Automation:n8n, Make (Integromat), Zapier, Apache Airflow Vector Databases and RAG:Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex Programming: Python (primary), JavaScript/TypeScript, REST API design Cloud and MLOps:AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines Observability and Evaluation:LangSmith, Helicone, Weights and Biases, custom evaluation harnesses AI Agent Focus Areas - Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis - Multi-agent orchestration including planner, executor, critic, and memory agent patterns - Knowledge retrieval systems including enterprise RAG, document Q&A, and semantic search - Process automation integrating CRM, ERP, and communication tools end-to-end - Agent safety, guardrails, and human-in-the-loop oversight mechanisms - MCP server development for extending agent capabilities Soft Skills - Strong problem-solving ability and analytical thinking - Ability to translate complex business needs into practical technical solutions - Effective collaboration and communication in a team-oriented environment - Intellectual curiosity and commitment to staying current with AI research and trends Why Join Us? - Work with one of the world’s leading financial derivatives institutions. - Competitive salary plus performance-based incentives. - Access to a dynamic, international, and fast-growing environment. - Strong opportunities for career progression within a global financial group. - Be part of a business committed to innovation, excellence, and long-term growth.

Required skills

  • LLMs
  • LangGraph
  • Python
  • Docker
  • FastAPI

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