Senior AI / Automation Engineer

Salt; Abu Dhabi; On-site; AED 250,000 - 420,000; Full time

Job summary

Salt is seeking a Senior AI / Automation Engineer in Abu Dhabi to build and productionise AI-powered enterprise workflows. This role focuses on LLMs, agentic AI, document intelligence and enterprise automation, not chatbots.

You will integrate tool-calling with enterprise APIs, implement RAG, context management, deterministic workflows and guardrails, and ensure reliability through testing, observability and cost controls for real‑world deployments.

Qualifications

• Production AI/LLM experience required.
• Advanced Python and API/service development.
• Experience with RAG, embeddings, tool/function calling and structured outputs.
• Experience building asynchronous, stateful and multi-step workflows.
• Strong testing, observability and production reliability background.
• Experience with LLM evaluation and inference economics.
• Proven track record taking AI solutions from prototype to production.

Responsibilities

• Build and deploy production LLM and agentic AI workflows.
• Develop tool-calling agents integrated with enterprise APIs and systems.
• Build document extraction, classification and reasoning solutions.
• Implement RAG, context management and structured outputs.
• Integrate AI with deterministic enterprise workflows.
• Build guardrails, validation, confidence thresholds and human-in-the-loop controls.
• Develop automated AI evaluation and regression testing.
• Implement model routing, fallback strategies and inference-cost controls.
• Monitor AI quality, latency, token usage and failure rates.
• Determine when AI should be used versus deterministic software.

Skills

Production AI/LLM experience

Python

API/service development

RAG and embeddings

Asynchronous workflows

Testing and observability

LLM evaluation and economics

Prototype to production

Job description

Abu Dhabi, UAE | Full-time 12 month FTE to perm

The Opportunity

Our client is looking for a Senior AI / Automation Engineer to build and productionise AI-powered enterprise workflows.

This is not a chatbot or RAG-focused role. The ideal candidate will combine strong software engineering with hands-on experience in LLMs, agentic AI, document intelligence and enterprise automation.

Key Responsibilities

• Build and deploy production LLM and agentic AI workflows.
• Develop tool-calling agents integrated with enterprise APIs and systems.
• Build document extraction, classification and reasoning solutions.
• Implement RAG, context management and structured outputs.
• Integrate AI with deterministic enterprise workflows.
• Build guardrails, validation, confidence thresholds and human-in-the-loop controls.
• Develop automated AI evaluation and regression testing.
• Implement model routing, fallback strategies and inference-cost controls.
• Monitor AI quality, latency, token usage and failure rates.
• Determine when AI should be used versus deterministic software.

Requirements

• Strong software engineering background with production AI/LLM experience.
• Advanced Python and API/service development skills.
• Hands-on experience with RAG, embeddings, tool/function calling and structured outputs.
• Experience building asynchronous, stateful and multi-step workflows.
• Strong understanding of testing, observability and production reliability.
• Experience with LLM evaluation, model selection and inference economics.
• Proven track record taking AI solutions from prototype to production.

Strong Advantage

Experience with:

• Agent orchestration and multi-agent systems
• Enterprise document processing and OCR
• AI automation across Finance, Procurement, HR or Legal
• Enterprise security, data residency and regulated environments

The key mindset:

build AI that works reliably in the real world - including knowing what to do when the model is wrong

*** Only successful candidates will be contacted ***