TCJ2474

techcarrot FZ; Dubai; In loco; AED 300.000 - 540.000; Tempo pieno

Descrizione del lavoro

techcarrot FZ in Dubai is seeking a hands-on AI Engineer to design, build, and deliver enterprise-grade GenAI and agentic AI solutions that enhance interaction with enterprise data and workflows. The role is primarily individual contributor with occasional coordination of offshore tasks; you will work on secure, scalable AI systems aligned with enterprise architecture and compliance.

Responsibilities span solution design, coding, testing, deployment, and production support, using OpenAI models,

Competenze

• Hands-on AI Engineer with production-grade GenAI solutions.

Mansioni

• Design, build, and deploy production-grade GenAI solutions.

Conoscenze

GenAI Expertise

AI/ML

Data Validation

Backend Development

React

System Architecture

Strumenti

LangChain

LangGraph

Haystack

Azure AI Search

Neo4j

OpenAI models

Descrizione del lavoro

Dubai, United Arab Emirates | Posted on 10/16/2026

tech carrot is a leading global ITservice provider and partner in digital transformation offering cost-effective,customer-centric, and cutting-edge digital solutions to clients worldwide.

founded in 2016, tech carrot isheadquartered in Dubai, UAE. Being a people-oriented organization with aphilosophy of "We care" as our core DNA, tech carrot continuallyfocuses on new initiatives and strategies to increase overall employeeexperience by providing a plethora of platforms to drive employee development,overall efficiency, increase overall employee satisfaction. With over 200+technology specialists who are engaged and motivated we are growing at 20% a year-on-year since inception.

We offer cutting-edge services across multipleindustries and deliver seamless customer experiences, ensuring high value andrapid growth for our clients. tech carrot has earned wide recognition as areliable partner for organizations across the globe because of its professionalapproach and strong delivery capabilities. The Middle East and Africa arehandled by UAE operations, while APAC is handled by India operations. We havealso expanded in the USA and the Netherlands as well.

Office Location

Dubai

Job Description

• We are seeking a highly skilled and hands-on AI Engineer to design, build, and deliver enterprise-grade, production-ready AI, conversational AI, and agentic AI solutions that enhance how users interact with enterprise data, insights, recommendations, and business workflows.
  
• This is primarily a hands-on Individual Contributor (IC) role, with approximately 90% focus on individual technical contribution and 10% on coordinating and reviewing tasks delivered by the offshore development team.
• The role requires strong engineering capabilities across GenAI, AI/ML, data validation, backend development, and React application development, with end-to-end involvement from solution design and coding through testing, deployment, and production support.
• The role goes beyond traditional chatbots. You will architect and deliver multi-agent, tool-augmented GenAI solutions capable of reasoning, planning, contextual retrieval, and action execution across multiple enterprise data sources and platforms. You will work on secure, scalable, and governed AI systems aligned with enterprise architecture and compliance standards, ensuring data quality, reliability, explainability, observability, and continuous improvement.
• Design, develop, and deploy production-grade GenAI solutions using advanced LLMs such as OpenAI models.
• Implement Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured enterprise data.
• Design hybridsearch architectures combining Vector DBs and Graph DBs (e.g., Azure AISearch, Neo4j) for semantic, contextual, and relationship-based retrieval.
• Build AgenticAI workflows using frameworks such as LangChain, LangGraph, and Haystack ,including:
• Tool-calling, function execution, and system-to-system automation
• Memory management (short-term, long-term, and session-based)

Data Validation & Quality

• Perform end-to-end data validation before data is consumed by AI, ML, analytics, and decision-intelligence applications.
• Validate data completeness, accuracy, consistency, freshness, aggregations, calculations, and business-rule alignment across source systems and downstream applications.
• Work with business and data teams to validate KPIs, calculations, business rules, AI-generated insights, and recommendations before production release.
• Develop automated data-quality checks,