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Happiest Minds Technologies

<div>
 
 Job Description
 
 
 
 Design and implement Agentic AI architectures for banking-grade enterprise applications ? Build scalable Generative AI / RAG pipelines using Azure OpenAI and Azure AI Search ? Deliver production-grade AI systems with high availability, security, and performance Implement multimodal and multilingual AI solutions (Text + Vision, including English / Arabic) Develop document processing pipelines using Azure AI Document Intelligence Build Computer Vision workflows using OpenCV Develop REST APIs using FastAPI and deploy using Docker and Azure Containers Design embedding, vector search, and hybrid retrieval strategies Integrate Azure Cosmos DB / Document DB Implement CI/CD pipelines and Git-based workflows Collaborate closely with business stakeholders and engineering teams to deliver end-to-end AI solutions
</div>

AI ENGINEERING SPECIALIST - AI ENGINEERING SPECIALIST

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank&rsquo;s digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.
As the AI Engineer with Deeplight, your responsibilities will include:<ul><li>
Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.</li><li>
Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.</li><li>
Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.</li><li>
Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.</li><li>
Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.</li><li>
Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.</li><li>
Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.</li></ul>
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 need from you:<ul><li><ul><li>
Bachelor&rsquo;s degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.</li><li>
Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).</li><li>
Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI)</li><li>
Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.</li><li>
Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).</li><li>
Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).</li><li>
Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).</li><li>
Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.</li></ul></li></ul> 
It would also be beneficial if you have experience of the following:<ul><li>
Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.</li><li>
Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.</li><li>
Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.</li><li>
Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
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.</div>

AI Engineer

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Platform SRE and Reliability Engineer is responsible for ensuring the absolute quality, resilience, and performance of the Bank&rsquo;s next-generation AI and digital platforms. This role focuses on the high-stakes intersection of Site Reliability Engineering (SRE) and AI Quality Assurance, designing automated frameworks to validate everything from Conversational AI agents and RAG pipelines to core banking microservices. By implementing robust continuous testing pipelines and reliability governance, you will guarantee that the Bank&rsquo;s AI-driven experiences remain secure, scalable, and deterministically accurate under real-world conditions.
As the Platform SRE &amp; Reliability Engineer, your responsibilities include:<ul><li>
Building reusable automation frameworks to test the accuracy, stability, latency, and safety of Conversational AI platforms (voice and chat) and LLM-based agents.</li><li>
Validating multi-agent orchestration, human-in-the-loop escalation logic, and the integrity of RAG pipelines and vector search results.</li><li>
Testing AI/ML platform components for scaling behavior, failover resilience, high availability, and disaster recovery.</li><li>
Integrating automated test pipelines into CI/CD workflows for MLOps, focusing on drift detection, retraining validation, and model registry integrity.</li><li>
Verifying AI/ML pipelines on Azure AI Foundry and AWS SageMaker, ensuring data integrity across storage services (S3/Blobs) and serverless functions.</li><li>
Conducting load testing for AI services and ensure engineering guardrails for fairness, explainability, and regulatory compliance are enforced.</li><li>
Acting as a bridge between engineering and business, translating complex technical reliability requirements into actionable quality narratives.</li></ul>
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 
To be successful in this role, we need you to have:<ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, or a related quantitative field. A Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
5+ years in QA, Application Testing, or Reliability Engineering, ideally for a large-scale brand or digital-only bank.</li><li>
Proven track record in deploying AI/ML QA solutions at an enterprise scale within the financial services sector.</li><li>
Experience testing distributed architectures, microservices, and large-scale data platforms (Vector DBs, Data Lakes).</li><li>
Expertise in Python-based automation frameworks and tools such as Selenium, Playwright, PyTest, JMeter, and Locust.</li><li>
A deep understanding of LLM evaluation frameworks, prompt stability testing, and hallucination avoidance validation.</li><li>
Hands-on experience testing and validating services across both Azure and AWS cloud environments.</li><li>
Strong SQL/NoSQL validation skills (Postgres, MongoDB) and experience testing REST, GraphQL, and FastAPI integrations.</li><li>
Be proficient in testing within Docker and Kubernetes (EKS/AKS) environments.</li></ul> 
It would be beneficial if you also had:<ul><li>
An ability to evaluate and adopt emerging QA tools for AI frameworks like LangChain, CrewAI, and Bedrock.</li><li>
An understanding of cutting-edge quality trends, including multimodal QA and RLHF (Reinforcement Learning from Human Feedback) output evaluation.</li><li>
A proactive approach to identifying edge cases in AI agents that could impact banking compliance or customer experience.</li><li>
A strong ability to coordinate with different functional teams to implement models and monitor outcomes.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
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.</div>

Platform SRE and Reliability Engineer

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Cloud Ops Engineering Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank&rsquo;s AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
As the Cloud Ops Engineering Lead, your responsibilities will include:<ul><li>
Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions.</li><li>
Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions.</li><li>
Leading &quot;Infrastructure as Code&quot; (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency.</li><li>
Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy.</li><li>
Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing.</li><li>
Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools.</li><li>
Organizing and supervising team activities, ensuring targets are met in line with ADCB&rsquo;s policies and continuous improvement initiatives.</li><li>
Supporting, Coaching and Mentoring more junior members of the team, when required</li><li>
Additional responsibilities on occasion, on management request</li></ul>
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 need from you:<ul><li>
Minimum of 5 years in designing and deploying AI/ML solutions on Azure.</li><li>
Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field.</li><li>
Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred.</li><li>
Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance).</li><li>
Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints.</li><li>
Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps.</li><li>
Advanced expertise in Terraform for automating complex cloud architectures.</li><li>
Strong grasp of secure cloud networking and secret management (Azure Key Vault).</li><li>
Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark.</li></ul>
What we'd like from you:<ul><li>
Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios.</li><li>
Ability to optimize cloud spend while maintaining high availability and performance.</li><li>
Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview.</li><li>
Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads.</li></ul> 
Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
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.</div>

Cloud Ops Engineering Lead

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 The Cloud Ops Engineering Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank's AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
 
 
 As the Cloud Ops Engineering Lead, your responsibilities will include:
 
 
 <ul>
 <li>
 Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions
 </li>
 <li>
 Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions
 </li>
 <li>
 Leading "Infrastructure as Code" (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency
 </li>
 <li>
 Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy
 </li>
 <li>
 Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing
 </li>
 <li>
 Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools
 </li>
 <li>
 Organizing and supervising team activities, ensuring targets are met in line with ADCB's policies and continuous improvement initiatives
 </li>
 <li>
 Supporting, Coaching and Mentoring more junior members of the team, when required
 </li>
 <li>
 Additional responsibilities on occasion, on management request
 
 
 </li>
 </ul>
 
 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 need from you:
 
 
 
 <ul>
 <li>
 Minimum of 5 years in designing and deploying AI/ML solutions on Azure
 </li>
 <li>
 Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field
 </li>
 <li>
 Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred
 </li>
 <li>
 Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance)
 </li>
 <li>
 Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints
 </li>
 <li>
 Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps
 </li>
 <li>
 Advanced expertise in Terraform for automating complex cloud architectures
 </li>
 <li>
 Strong grasp of secure cloud networking and secret management (Azure Key Vault)
 </li>
 <li>
 Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark
 
 
 </li>
 </ul>
 
 What we'd like from you:
 
 
 
 <ul>
 <li>
 Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios
 </li>
 <li>
 Ability to optimize cloud spend while maintaining high availability and performance
 </li>
 <li>
 Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview
 </li>
 <li>
 Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Visa Sponsorship for the successful individual.
 </li>
 <li>
 Comprehensive health insurance for the successful individual.
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 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.
</div>

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul><li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li><li>
GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li><li>
Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li><li>
Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li><li>
DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li><li>
Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li><li>
Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li></ul>
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 
The key requirements for this role are:<ul><li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li><li>
Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li><li>
Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li><li>
Advanced coding skills in Python and JavaScript/TypeScript.</li><li>
Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li></ul>
You should also have the following:<ul><li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li><li>
A minimum of 5+ years in professional software development.</li><li>
Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li><li>
Advanced knowledge of banking operations, terminologies, and financial services products.</li></ul>
It would be preferable if you also have:<ul><li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li><li>
Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li><li>
The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li><li>
The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
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.</div>

Backend Engineer

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The QA &amp; Application Testing &amp; Automation Engineer is responsible for the quality, resilience, and performance of the Bank&rsquo;s digital and core operational platforms. This role goes beyond traditional testing, focusing on the end-to-end validation of next-generation AI systems, mobile applications, and enterprise services. By building sophisticated automated frameworks and continuous testing pipelines, you will ensure that every release&mdash;from Conversational AI agents to core banking microservices&mdash;meets the highest standards of security, scalability, and reliability. You will act as a quality gatekeeper, collaborating across engineering and cybersecurity teams to accelerate deployment without compromising the Bank's integrity.
Your responsibilities within this role include:
<ul><li>Validate next-gen AI platforms (voice and chat) for accuracy, stability, latency, and safety; ensure AI-driven enterprise search avoids hallucinations.</li><li>
Build and maintain reusable automation frameworks for web, mobile, and API integrations using Python, Selenium, or Playwright.</li><li>
Validate RAG (Retrieval-Augmented Generation) pipelines, vector search quality, and grounding accuracy to ensure data retrieval performance.</li><li>
Implement automated quality checks for MLOps, including drift detection, retraining validation, and model registry integrity.</li><li>
Conduct scenario-based testing for operational AI agents (KYC, Risk, Compliance) and validate high availability and disaster recovery protocols.</li><li>
Integrate automated quality gates into CI/CD pipelines to ensure continuous validation within containerized (Docker/Kubernetes) environments.</li><li>
Verify that all AI engineering aligns with guardrails for fairness, security, explainability, and regulatory requirements.</li></ul>
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 
We need you to have:<ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, or a related quantitative field. A Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
A minimum 5+ years in QA and Automation, preferably within a large-scale digital bank or a major digital transformation project.</li><li>
Proven experience deploying AI/ML QA solutions at an enterprise scale, specifically in banking or financial services.</li><li>
Deep knowledge of software testing methodologies (Functional, Regression, Security, and Non-functional).</li><li>
Proficiency in Python for test automation and expertise with tools like PyTest, Selenium, Playwright, and Postman.</li><li>
Hands-on experience testing LLM response quality, prompt stability, and agentic orchestration workflows.</li><li>
Strong experience validating pipelines and storage services across Azure (AI Foundry) and AWS (SageMaker).</li><li>
Proficiency in load and stress testing using tools like JMeter or Locust.</li><li>
Expertise in SQL and NoSQL test validation (Postgres, MongoDB, Cassandra) and data platform integrity.</li></ul>
It would be beneficial if you also have:<ul><li>
The ability to evaluate and integrate emerging AI testing tools such as LangChain, CrewAI, or Bedrock.</li><li>
Experience at acting as an &quot;analytics translator&quot; between technical teams and business stakeholders regarding quality risks.</li><li>
An understanding of cybersecurity principles in the context of AI safety and prompt injection prevention.</li><li>
A proven ability to work within fast-paced squads to remove blockers and manage dependencies.</li></ul> 
Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
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.</div>

QA & Application Testing & Automation Engineer

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