Lead AI Engineer (Python / LLM / Agentic AI)
Job Description
We are looking for an experienced Lead AI Engineer to design, develop, and deliver production-ready AI applications and backend services.
The ideal candidate combines strong Python backend engineering skills with hands-on experience building LLM-powered applications, AI agents, and intelligent automation solutions.
Key Responsibilities
- Design, develop, and maintain scalable backend services and AI-powered applications using Python.
- Design and implement AI agents and agentic workflows, including tool calling, orchestration, multi-step reasoning, and multi-agent collaboration.
- Build LLM-powered solutions using RAG, embeddings, vector databases, and structured outputs.
- Integrate LLMs with internal systems, enterprise APIs, and external services using MCP and other integration approaches.
- Evaluate and optimize AI solutions for accuracy, reliability, performance, latency, and cost.
- Design scalable architectures using asynchronous processing, message queues, caching, and event-driven patterns.
- Implement AI security controls, including prompt injection protection, data privacy, access control, and safe tool execution.
- Build and deploy production-ready services with proper testing, monitoring, logging, and error handling.
- Collaborate with product and engineering teams to translate business requirements into technical solutions.
- Lead technical design discussions, review code, mentor engineers, and establish engineering best practices.
Requirements
Job Requirements
Required Qualifications
- 7+ years of professional software engineering experience, including at least 2 years of backend development using Python.
- Strong experience with Python, FastAPI, asynchronous programming, and Pydantic.
- Hands-on experience developing and deploying LLM-powered applications in production.
- Practical experience with AI agents, tool/function calling, and agent orchestration frameworks, such as LangGraph, LangChain, or equivalent solutions.
- Strong understanding of RAG architectures, embeddings, semantic search, and vector databases.
- Experience integrating LLMs through APIs, including structured outputs, prompt engineering, and handling model failures.
- Experience evaluating LLM applications, including response quality, hallucinations, reliability, and performance.
- Solid understanding of distributed systems, message queues, caching, retries, idempotency, and persistent state management.
- Experience with PostgreSQL, Redis, Docker, and REST APIs.
- Strong knowledge of automated testing, clean architecture, design patterns, and code quality practices.
- Experience designing and delivering major features or products from concept to production.
- Strong analytical, troubleshooting, communication, and technical leadership skills.
- Experience with Model Context Protocol (MCP) and building MCP servers or clients.
- Experience with advanced agent orchestration, multi-agent architectures, and human-in-the-loop workflows.
- Experience with Qdrant, pgvector, Pinecone, or similar vector databases.
- Experience with NATS, Kafka, or other event-driven messaging technologies.
Skills Required
- 7+ years of professional software engineering experience
- At least 2 years of backend development using Python
- Strong experience with Python, FastAPI, asynchronous programming, and Pydantic
- Hands-on experience developing and deploying LLM-powered applications in production
- Experience developing AI agents, tool or function calling, and agent orchestration frameworks such as LangGraph or LangChain
- Strong understanding of RAG architectures, embeddings, semantic search, and vector databases
- Experience integrating LLMs through APIs, including structured outputs, prompt engineering, and model failure handling
- Experience evaluating LLM applications for response quality, hallucinations, reliability, and performance
- Understanding of distributed systems, message queues, caching, retries, idempotency, and persistent state management
- Experience with PostgreSQL, Redis, Docker, and REST APIs
- Knowledge of automated testing, clean architecture, design patterns, and code quality practices
- Experience delivering major features or products from concept through production
- Strong analytical, troubleshooting, communication, and technical leadership skills
- Experience with Model Context Protocol and building MCP servers or clients
- Experience with advanced agent orchestration, multi-agent architectures, and human-in-the-loop workflows
- Experience with Qdrant, pgvector, Pinecone, or similar vector databases
- Experience with NATS, Kafka, or other event-driven messaging technologies
What We Do
emaratech, owned by the Investment Corporation of Dubai, is the leading technology and management consulting company in the Arab World that provides high end market strategies, online solutions, outsourced technology & advanced business information technology solutions for private & public sectors. Business Domain Knowledge includes border access & control, Government eServices, Security Services, Payment Gateways, ERP and real estate technology solutions. Services include product engineering, enterprise and custom online applications, systems integration, infrastructure hosting, business process re-engineering, IT & business consulting, quality management, project management and managed services. emaratech's subsidiaries include: noqodi A comprehensive, technologically advanced payment gateway system that provides complete automated collections, reconciliation and settlement services www.noqodi.com Emirates Real Estate Solutions A world-class real estate product registered in 17 countries, providing models focused on application solutions and managed services. www.eres.ae Digital Economy Solutions A joint venture between emaratech and the Department of Economic Development of Dubai, with a mission to develop strategic digital projects with a focus on developing and issuing licenses for all businesses in Dubai. ZAJEL A courier company that not only delivers courier but embeds itself seamlessly into business process that is incomplete without delivery and collection Emirates Real Estate Solutions (ERES) Developing and managing IT products including Tenancy, Contract Management, Land ownership and unlisted property management solutions and portals. If you are talented in any of the above fields and looking for a place to put your stamp in an innovative environment, we would like to hear from you. submit your resume and let us know how you can make a difference at emaratech.
