الخبرة : 0-3 سنة
الراتب : Not mentioned
المكان : emirates
Company Description
TKMiND is a market-leading ICT solutions and services company with operations in Egypt, the UAE, Saudi Arabia, Singapore, and the UK. With a broad portfolio of licensed and cloud-based products and solutions, TKMiND helps clients compete effectively, improve business operations, and deliver impactful customer experiences. The company is dedicated to fostering long-lasting business relationships that drive customer success and aims to help organizations thrive in dynamic market conditions through digital transformation.
Job Summary
We are seeking a Junior AI Engineer to join our growing AI and automation team. The ideal candidate is a recent graduate or early-career engineer with a strong foundation in computer science and hands-on exposure to modern AI concepts, especially Generative AI, LLMs, and automation workflows. You will work closely with senior engineers to explore, build, and integrate AI-powered solutions.
Key Responsibilities
- Assist in developing and integrating AI and Generative AI solutions into production systems
- Work with Large Language Models (LLMs) and AI agents for chatbots, automation
- Build RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector search
- Support the development of AI agents and workflows using modern frameworks
- Build and maintain APIs and microservices for AI applications
- Explore the AI tools and frameworks when published
Technical Skills:
- Strong experience with AI development ( 2-3 years).
AI & Generative AI
- Understanding of core AI concepts:
- LLMs - VLLMs
- Tokenization
- Embeddings
- Transformers
- RAG (Retrieval-Augmented Generation)
- AI Agents
- MCP (Model Context Protocol) concepts
Frameworks & Tools
- Understanding Generative AI frameworks such as:
- LangChain
- LangGraph
- CrewAI
- PydanticAI
Backend & Data
- Basic to intermediate knowledge of SQL databases
- Understanding of REST APIs, microservices, and webhooks
Automation & Integration
- Familiarity with automation tools such as:
- n8n
- Flowise
DevOps & Deployment
- Basic understanding of Docker and containerized applications
Qualifications:
- Bachelor's degree in computer science, Computer Engineering, Software Engineering, or a related field
Soft Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills and ability to work in a team-oriented environment.
- Ability to manage multiple tasks and meet deadlines.
To Apply:
Please send your CV with the job code 90012-092 in the subject line to [email protected]