Senior Gen AI Developer

Silver Edge Arabia; Al Khobar; Hybrid; SAR 250,000 - 450,000; Full time

Job summary

GenAI Specialist role in a global insights and data organization focuses on designing, building and deploying next-generation AI solutions. You will integrate LLMs and data strategies to drive business growth through scalable ML systems and robust production-grade code.

Join a hybrid work environment where collaboration with cross-functional teams and leadership is essential to translate complex data into actionable insights and to continuously improve model accuracy and efficiency.

Qualifications

• Proven GenAI track record and hands-on problem-solving.
• Strong Python (NLP/GenAI) coding in production.
• Experience deploying scalable ML systems.

Responsibilities

• Design, build and deploy next-generation GenAI solutions.
• Integrate LLMs and data strategies for business growth.
• Develop scalable ML systems processing millions of transactions.
• Write production-grade Python (PEP8) with scalability.
• Translate complex data concepts for non-technical stakeholders.

Skills

LLM Mastery

Model Proficiency

Core Engineering

Deep Learning

NLP Expertise

Tools

Docker

Cloud environments

API frameworks

Qdrant

PostgreSQL

Job description

Work Model: Hybrid (Blend of office, client site, and home)

The Opportunity

Join a global leader in Insights & Data as we redefine the boundaries of AI, platform engineering, and advanced analytics. Our team is at the forefront of end-to-end data integration and AI engineering, delivering sector-specific solutions that transform the world's leading businesses.

We are seeking a visionary GenAI Specialist to design, build, and deploy next-generation AI solutions. This role is perfect for a technical expert who balances deep analytical skills with strategic foresight, helping us optimize production-ready pipelines and foster an environment of relentless innovation.

Your Role

As a GenAI Specialist, you will be instrumental in integrating LLMs and implementing data strategies that drive business growth. Your focus will include:

• Advanced AI Engineering: Building MCP models, context protocols, and agentic AI while maintaining robust microservices.
• Financial Intelligence: Deploying ML models to detect and prevent financial crimes, significantly reducing fraud losses and improving compliance.
• Generative Innovation: Implementing GenAI solutions to create synthetic data, enhancing model accuracy across diverse use cases.
• Scale & Efficiency: Rolling out scalable ML systems capable of processing millions of daily transactions and utilizing A/B testing to boost operational efficiency.
• Production Standards: Writing production-grade, PEP8-compliant Python code with a strict focus on scalability and maintainability.
• Strategic Collaboration: Translating complex data concepts into actionable insights for non-technical stakeholders and leadership.

Your Skills and Experience

To excel in this role, you should bring a proven track record in GenAI technologies and a hands-on approach to problem-solving.

Technical Requirements:

• LLM Mastery: Expertise in RAG, Agents, Graph RAG, RAFT, and Fine-tuning (PEFT, LoRA, QLoRA).
• Model Proficiency: Experience with both Open Source (Llama, Mistral) and Closed Source (GPT-4, Claude, Gemini) models.
• Core Engineering: Advanced Python skills, specifically within NLP and GenAI frameworks.
• Deep Learning: Strong experience with GANs, VAEs, and Transformers.
• NLP Expertise: Proficiency in intent recognition, entity extraction, text summarization, and topic modeling.

Bonus Points For:

• Foundational knowledge of Cloud environments, API frameworks, and Docker.
• Experience with databases such as Qdrant or PostgreSQL.

Why Join Us?

When you join our collective of free-thinkers and industry experts, you aren't just taking a job—you're helping reimagine what's possible. We offer a platform where you can:

• Shape the Future: Transform leading businesses through sustainable and inclusive technology.
• Collaborate Globally: Work alongside 340,000+ team members in over 50 countries.
• Continuous Growth: Benefit from a culture of knowledge sharing and high-level skill development.