AI Engineer

Job Role: AI Engineer- UAE Based

Job Summary:

We are seeking a versatile AI Engineer to design, develop, and deploy AI-powered solutions

across various business domains. This role requires a broad understanding of AI/ML

technologies and the ability to translate business requirements into practical AI applications.

Key Responsibilities

AI Solution Development

• Design and implement end-to-end AI applications from concept to production
• Integrate Large Language Models (LLMs) and foundation models into business applications
• Build RAG (Retrieval-Augmented Generation) systems and conversational AI interfaces
• Develop autonomous AI agents and multi-agent systems for complex task automation
• Implement MCP-compliant tool integrations for enhanced agent capabilities
• Design agent-to-agent communication systems for collaborative problem solving
• Create distributed agent networks with proper message passing and state synchronization
• Design and implement AI workflows and orchestration pipelines for business processes
• Create agentic systems with tool-calling, reasoning, and decision-making capabilities
• Create proof-of-concepts and MVPs for AI-driven features
• Develop computer vision, NLP, and predictive analytics solutions based on requirements

Technical Implementation

• Write production-quality code in Python and relevant frameworks
• Implement APIs and microservices for AI model serving
• Build robust AI agents with error handling, retry logic, and fallback mechanisms
• Design stateful workflows and agent coordination systems
• Implement MCP (Model Context Protocol) for standardized tool integration
• Build agent-to-agent communication systems for collaborative AI workflows
• Develop protocol adapters for cross-platform agent interoperability
• Implement tool integrations for agents (APIs, databases, external services)
• Optimize model inference for latency and throughput requirements
• Build data pipelines for model training and inference
• Ensure scalability, reliability, and maintainability of AI systems

Model Management

• Fine-tune and adapt pre-trained models for specific use cases
• Implement prompt engineering strategies for LLM applications
• Deploy models using cloud services (AWS, GCP, Azure) and edge devices
• Monitor model performance and implement retraining pipelines
• Manage model versioning and A/B testing frameworks

Cross-functional Collaboration

• Work with product teams to identify AI opportunities and requirements
• Collaborate with data engineers on data infrastructure needs
• Partner with DevOps for CI/CD pipeline implementation
• Communicate technical concepts to non-technical stakeholders
• Document AI solutions and create technical specifications

Required Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• 3-5 years of experience in AI/ML engineering or related roles
• Proven track record of deploying AI solutions in production environments

Technical Skills

Core Programming & Frameworks

• Strong proficiency in Python and its AI/ML ecosystem (NumPy, Pandas, Scikit-learn)
• Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)
• Familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)
• Experience with AI agent frameworks (Langraph, AgentOps, Temporal)
• Knowledge of MCP (Model Context Protocol) for tool and context management
• Understanding of agent-to-agent communication standards and protocols
• Experience with protocol bridges and agent interoperability solutions
• Knowledge of workflow orchestration tools (Prefect, Dagster, Apache Airflow for AI
• pipelines)
• Understanding of function calling, tool use, and agent-environment interactions
• Knowledge of web frameworks (FastAPI, Flask, or Django)

AI/ML Expertise

• Understanding of machine learning algorithms and their applications
• Experience with transformer models and attention mechanisms
• Knowledge of AI agent architectures (ReAct, Chain-of-Thought, Tree-of-Thoughts)
• Experience building autonomous agents and multi-agent orchestration systems
• Familiarity with workflow automation tools and agentic frameworks (AutoGPT, CrewAI,
• AutoGen)
• Understanding of agent communication protocols (MCP - Model Context Protocol,
• Agent-to-Agent protocols)
• Experience implementing inter-agent communication and coordination mechanisms
• Understanding of task planning, decomposition, and agent memory systems
• Knowledge of computer vision techniques and frameworks (OpenCV, YOLO)
• Familiarity with NLP techniques and libraries (spaCy, NLTK, Hugging Face)
• Understanding of vector databases and embedding techniques

Infrastructure & Deployment

• Experience with containerization (Docker) and orchestration (Kubernetes)
• Knowledge of ML deployment platforms (MLflow, Kubeflow, or SageMaker)
• Familiarity with cloud AI services (OpenAI API, AWS Bedrock, Google Vertex AI)
• Understanding of API design and RESTful services
• Experience with version control (Git) and CI/CD pipelines

Data & Databases

• SQL proficiency and experience with relational databases
• Knowledge of NoSQL databases (MongoDB, Redis)
• Experience with vector databases (Pinecone, Weaviate, or Chroma)
• Understanding of data processing and ETL pipelines

Preferred Qualifications

Advanced Skills

• Master's degree in relevant field
• Experience with MLOps practices and tools
• Deep expertise in building production-grade AI agent systems
• Hands-on experience with MCP implementation and custom MCP server development
• Knowledge of agent-to-agent protocol design and implementation
• Experience building federated agent networks and swarm intelligence systems
• Expertise in cross-platform agent communication and handoff mechanisms
• Experience with agent evaluation and testing frameworks
• Knowledge of agent safety, alignment, and guardrails implementation
• Experience with complex workflow orchestration and state management
• Knowledge of distributed computing (Spark, Ray)
• Familiarity with edge AI deployment
• Experience with multimodal AI systems
• Understanding of AI safety and responsible AI practices

Domain Experience

• Experience in specific verticals (healthcare, finance, e-commerce, etc.)
• Knowledge of regulatory requirements for AI systems
• Experience with real-time AI applications
• Background in data privacy and security

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication skills for technical and non-technical audiences
• Self-motivated with ability to work independently
• Curiosity and passion for staying current with AI advancements
• Experience mentoring junior team members

Why Join Us:

• Cutting-Edge Work: Be part of a company that is redefining mobility tech through innovative solutions.
• Collaborative Culture: Work alongside passionate engineers, product thinkers, and designers in a fast-paced environment.
• Growth Opportunities: Get exposed to global projects, leadership responsibilities, and upskilling platforms.
• Impact at Scale: Build technology that reaches thousands of users across the MENA region and beyond.
• Employee-Centric Benefits: Competitive salary, visa support, and the opportunity to grow your career in a thriving tech ecosystem.

If you're driven to create impactful mobile experiences and thrive in a fast-evolving tech environment, apply now and drive the future of mobility with us, - we want to hear from you!

Apply Now – Send your CV to talent@self-drive.ae

Workplace Type:

Onsite

Application Open:

Apply only if you can join us immediately or serving notice period.

Location:

B3, Office number 406, Dubai Commercity, Umm ramool, Al Rashidiya, Dubai, UAE.

Job Types: Full-time, Permanent

Pay: Up to AED10,000.00 per month