Level

DeepLight AI

Site Reliability Engineer

AI in this role

prompt-engineeringragml-opsai-evaluation

DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.

At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.

As we expand our footprint across the GCC, we are seeking a talented Site Reliability Engineer (SRE) to join our technical squad and own the ultimate production readiness, resilience, and operational health of our cutting-edge AI solutions.

The Opportunity

If you thrive at the intersection of automated software engineering, high-scale cloud infrastructure, and next-generation AI evaluation, this role was built for you.

As our Site Reliability Engineer, you will bridge application quality, MLOps, and cloud resilience. You will build the automated test suites that validate complex LLM and RAG model outputs, engineer chaos-resilient cloud environments, and establish bulletproof observability frameworks—ensuring our applications deliver lightning-fast, banking-grade performance under heavy enterprise traffic.

What You’ll Do

  • Implement load testing, fault-injection techniques, and self-healing automation to ensure web/mobile backends and AI microservices easily sustain banking-scale traffic.
  • Build Python-driven, CI/CD-integrated regression test suites that validate application logic, data pipelines, and Infrastructure as Code (IaC) states.
  • Define and track critical Service Level Indicators (SLIs) and Objectives (SLOs). Set up real-time telemetry, dashboards, and proactive alerting to catch performance degradation before users do.
  • Integrate specialized AI evaluation harnesses (e.g., DeepEval, Ragas) into deployment pipelines to benchmark model accuracy, hallucinations, and retrieval performance (RAG).
  • Automate security scans and privacy checks to satisfy strict banking data residency standards, while monitoring compute efficiency to eliminate redundant cloud spend.


Why Join DeepLight AI?

  • You'll be working on High-Impact Systems: Helping to build and deploy real-world, secure AI applications for premier regional enterprise clients.
  • A Culture of Excellence: You'll Collaborate with a world-class team of architects, data engineers, and AI specialists who value craft, accountability, and practical problem-solving.
  • Growth & Impact: You'll take clear ownership of high-visibility platforms, contribute directly to reusable firm IP, and shape how AI is securely deployed across the Middle East.

As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.

Requirements

What We’re Looking For

  • High proficiency in Python (mandatory) and Bash scripting, alongside automation test frameworks like PyTest, Selenium, or Robot Framework.
  • Strong hands-on experience with Azure or AWS, focusing on cloud networking, auto-scaling topologies, containerized environments, and serverless reliability.
  • Modern Tooling Command:
    • CI/CD & IaC: GitHub Actions, Azure DevOps, and Terraform (reading/validating state).
    • Performance & Load: K6 or JMeter.
    • Observability: Azure Monitor, AWS CloudWatch, Grafana, or Prometheus.
  • Solid grasp of prompt engineering, RAG architectures, and model evaluation metrics (ROUGE/BLEU scores, LLM benchmarks, LangSmith/Ragas).
  • Experience operating in financial services, banking, or highly regulated enterprise environments where zero downtime and data privacy are non-negotiable.


It would also be great if you have:

  • Experience managing production Kubernetes clusters (AKS/EKS), service meshes, and container security scanners.
  • Familiarity with UAE Central Bank regulatory guidelines, NESA security compliance, and data residency mandates.
  • Formal industry credentials such as AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator Associate, Certified Kubernetes Administrator (CKA), or SRE certifications

Benefits

The benefits you'll enjoy as part of this role include:

  • Competitive salary
  • Comprehensive personal health insurance
  • Visa Sponsorship for the successful individual
  • Professional development and certification support
  • Subscription reimbursement relating to your role
  • Opportunity to work on cutting-edge AI projects
  • Monthly Employee Incentive program
  • Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

How we rate this

Site Reliability Engineer at DeepLight AI rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGML OpsAI Evaluation

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. How do you decide that one model's output is better than another's for a given task?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, ML Ops, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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