Senior Generative AI & LLM Engineer — Remote

Jobs Ai; Dubai; On-site; AED 331,000 - 551,000; Full time

Job summary

Jobs Ai is seeking a Senior LLM Engineer to design, build, and deploy generative AI solutions remotely. The role emphasizes hands-on engineering with Python and modern LLM frameworks, contributing to roadmaps and cross-functional collaboration.

The position requires proficiency in Lang Chain, RAG pipelines, and experience with cloud platforms (AWS/Azure/GCP). Strong communication and independent work style are essential for success in this remote role.

Qualifications

• Proficient in Python and SQL for AI system development.
• Experience with Lang Chain and modern LLM frameworks.
• Deep understanding of prompt tuning, embeddings, vector databases, and agent workflows.
• Background in machine learning or software engineering with system-level thinking.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Ability to work independently while collaborating across teams.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design and develop generative AI and LLM-based systems using tools such as Lang Chain and retrieval-augmented generation (RAG) pipelines.
• Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.
• Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.
• Translate business needs into scalable, production-ready AI solutions.
• Contribute to architecture discussions, code reviews, and performance optimization.

Skills

Python

SQL

Lang Chain

LLM frameworks

Prompt tuning

Embeddings

Vector databases

Agent workflows

Cloud platforms

AWS

Azure

GCP

Communication

Stakeholder management

Tools

LangChain

RAG pipelines

Job description

Jobs Ai is seeking a Senior LLM Engineer to design, build, and deploy generative AI solutions remotely. The role emphasizes hands-on engineering with Python and modern LLM frameworks, contributing to roadmaps and cross-functional collaboration.

The position requires proficiency in Lang Chain, RAG pipelines, and experience with cloud platforms (AWS/Azure/GCP). Strong communication and independent work style are essential for success in this remote role.