AI Engineer; LLMs, Agentic Systems & Model Training

Direct message the job poster from Kayana | Ordering & Payment Solutions

Job Title: AI Engineer (LLMs, Agentic Systems & Model Training)

Location: Dubai

Employment Type: Full-Time

Experience Level: Mid–Senior

We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs),
AI Agents
, and advanced retrieval and fine‑tuning techniques
. The ideal candidate has hands‑on experience training and optimizing LLMs, building agentic workflows, utilizing vector embeddings, and implementing Agentic RAG and Cache‑RAG architectures. Strong proficiency in Python and Java is required.

• Fine‑tune, train, and optimize LLMs (open‑source or proprietary) for specific business use cases.
• Implement supervised fine‑tuning (SFT), RLHF, PEFT/LoRa, and other parameter‑efficient training methods.
• Evaluate and improve model performance using modern benchmarking and evaluation tools.

• Build and deploy AI agents capable of tool use, planning, memory, and multi‑step reasoning.
• Architect agentic systems that interact with external APIs, internal tools, and knowledge sources.
• Optimize agent reliability, latency, and cost using best practices.

• Design and implement Agentic RAG
  , Cache‑RAG
  , and hybrid retrieval pipelines.
• Work with vector databases (Postgres Vector, Pinecone, FAISS, Milvus, Chroma, Weaviate, etc.).
• Generate and manage embeddings for semantic search, retrieval‑augmented generation, and caching.
• Ensure integrity, quality, and relevance of retrieval datasets.

• Develop scalable AI services using Python and Java
  .
• Build APIs, microservices, and data pipelines that support AI workflows.
• Write efficient, production‑ready, clean, and well‑documented code.
• Partner with data scientists, ML engineers, product teams, and researchers.
• Stay current with state‑of‑the‑art LLM research, agent frameworks, and vector search technologies.
• Propose and prototype innovative AI features and architectures.

• Bachelor’s/Master’s in computer science, AI, Machine Learning, or related field.
• Strong proficiency in Python and Java
  , with demonstrable project experience.
• Hands‑on experience fine‑tuning and training LLMs (e.g., Llama, Mistral, GPT variants, Qwen, Gemma).
• Deep understanding of transformer architectures
  , tokenization, and inference optimization.
• Experience with agent framework
  s (Lang Chain, Auto Gen, OpenAI Agents, Llama Index agents, custom agents).
• Practical knowledge of vector embeddings
  , ANN search, and RAG methodologies.
• Familiarity with GPU pipelines, distributed training, and model deployment.
• Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

• Experience with multi-modal LLMs (vision, audio, code).
• Knowledge of model quantization (GPTQ, AWQ) and inference acceleration.
• Experience with orchestration tools (Ray, Prefect, Airflow).
• Contributions to open‑source AI projects.

• Competitive salary and benefits
• Opportunity to work with cutting‑edge AI systems
• A collaborative environment that encourages innovation
• Career growth and leadership opportunities