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
Use the application form on this page to apply.