Senior AI Automation Engineer

Salt; Abu Dhabi; On-site; AED 400,000 - 640,000; Full time

Job summary

Salt is seeking a Senior AI / Automation Engineer to embed AI safely into real enterprise workflows. This role focuses on production-grade ML systems rather than chatbots or RAG demos, requiring strong software engineering and experience with LLMs, agentic systems and enterprise automation.

You will own production LLM capabilities, build tool-calling agents, implement document extraction and retrieval patterns, and design guardrails, cost controls and human review mechanisms to ensure safe,

Qualifications

• Strong software engineering fundamentals.
• Production experience delivering LLM applications to real users.
• Experience building API/services for AI applications.
• Experience with RAG, embeddings and tool-calling.
• Asynchronous processing and state management.
• Testing, observability and production error handling.
• Understanding context windows, model economics and inference cost.
• Experience taking AI systems from prototype to production.

Responsibilities

• Build production LLM and agentic workflow capabilities.
• Develop tool-calling agents that interact with enterprise APIs.
• Implement document extraction, classification and reasoning.
• Build retrieval/context-management patterns for enterprise knowledge.
• Integrate AI services with deterministic workflow systems.
• Implement structured outputs, validation, confidence thresholds and human review mechanisms.
• Build automated evaluation and regression-testing pipelines.
• Design guardrails and policy controls.
• Implement model routing and inference-cost controls.
• Monitor latency, token consumption, quality and failure rates.
• Design fallback behavior when AI cannot safely complete a task.
• Determine when deterministic software is more appropriate than an LLM.

Skills

Software engineering

LLM production

API development

RAG & embeddings

Async processing

Observability

Cost optimization

Prototype-to-prod

Job description

We are seeking a Senior AI / Automation Engineer to embed AI safely into real enterprise

workflows.

This is not primarily a chatbot or RAG role.

The successful candidate will combine strong software engineering with production

experience in LLMs, agentic systems, document intelligence and enterprise automation.

A core question in this role is:

What happens when the model is wrong?

What You Will Own

• Build production LLM and agentic workflow capabilities.
• Develop tool-calling agents that interact with enterprise APIs.
• Implement document extraction, classification and reasoning.
• Build retrieval/context-management patterns for enterprise knowledge.
• Integrate AI services with deterministic workflow systems.
• Implement structured outputs, validation, confidence thresholds and human review mechanisms.
• Build automated evaluation and regression-testing pipelines.
• Design guardrails and policy controls.
• Implement model routing and inference-cost controls.
• Monitor latency, token consumption, quality and failure rates.
• Design fallback behavior when AI cannot safely complete a task.
• Determine when deterministic software is more appropriate than an LLM.

Required Experience

• Strong software-engineering foundation.
• Production experience delivering LLM applications to real users.
• API and service development.
• RAG, embeddings and structured/tool calling.
• Asynchronous processing and state management.
• Testing, observability and production error handling.
• Understanding of context windows, model economics and inference cost.
• Experience taking AI systems beyond prototype stage.

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