site engineer

devops engineer

full stack developer

infrastructure engineer

ai engineer

full stack software developer

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.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; 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.
The Full Stack Developer builds the human-facing surfaces of the Agentic Workflow Automation (AWA) platform&mdash;specifically the Human-in-the-Loop (HITL) reviewer interface, the AgentOps operational dashboard, and internal AWA developer portals. Operating within the AI Centre of Excellence (AICoE) at a Band 7 / Mid-level capacity, this position works directly at the boundary between complex AI pipelines and end-users (including operations reviewers, business analysts, bank customers, and engineering teams). The role translates complex agent states, confidence scores, and exception data into high-performance, intuitive user interfaces that enable fast, informed human decisions.
Responsibilities<ul><li>
HITL Reviewer Interface: Design and build the operations reviewer queue interface, incorporating high-resolution native document image displays, extracted field overlays with per-field confidence indicators, clear exception reasoning, and optimized keyboard-shortcut workflows.</li><li>
AgentOps Dashboard: Build and maintain real-time operational dashboards that consume Azure Monitor metrics and Log Analytics data to track STP (Straight-Through Processing) rates, HITL rates, token consumption, and latency metrics (P50/P95/P99).</li><li>
System &amp; API Integration: Establish secure communication between AI core services and core banking apps via the AWA Conversation Orchestrator backend API. Connect applications to APIM-governed LLM endpoints and Orkes Conductor job status APIs.</li><li>
Internal Tooling &amp; Portals: Build and maintain the AWA Use Case Manifest authoring tool, the Prompt Management System (PMS) UI, and ground-truth annotation interfaces used by the operations team for test data preparation.</li><li>
Performance &amp; Accessibility Optimization: Ensure all web interfaces meet institutional accessibility standards, optimize application performance for lower-bandwidth branch locations, and implement graceful error handling for AI pipeline latency.</li><li>
Design System Maintenance: Build and maintain a unified, consistent AWA component library and design system across all interfaces, ensuring strict alignment with corporate brand guidelines.</li></ul> 

Requirements 
We need you to have:<ul><li> 
An advanced proficiency in building highly responsive web applications using React, TypeScript, and modern CSS frameworks.</li><li>
Mastery of complex asynchronous data flows and state synchronization using tools like Redux, Zustand, or React Query.</li><li>
A strong capability to build interactive, performance-optimized operational dashboards using charting libraries such as Recharts or D3.js.</li><li>
Be competency in implementing WebSockets or Server-Sent Events (SSE) for streaming updates and live data synchronization.</li><li>
The ability to design and consume structured REST APIs and construct Backend-for-Frontend (BFF) layers using Node.js or Python (FastAPI/Express).</li><li>
A minimum of 5 years of professional full-stack software development experience, with a clear focus on enterprise web applications.</li><li>
Hands-on experience integrating secure identity providers and authentication protocols, specifically OAuth2, OIDC, and Microsoft Entra ID.</li><li>
Practical experience working with Docker and deploying/managing frontend container workloads within Kubernetes environments (specifically Azure Kubernetes Service - AKS).</li><li>
Holder of a Bachelor's degree in Computer Science, Software Engineering, or an equivalent technical field.</li></ul>
It would also be great if you have:<ul><li>
Familiarity with React Native or native iOS/Android development to facilitate mobile banking application integrations.</li></ul><ul><li>
Experience developing complex overlay layers, drawing tools, and bounding-box annotations on high-resolution canvas scans.</li><li>
Knowledge of configuring Azure Static Web Apps, Azure Front Door, and Content Delivery Networks (CDNs).</li><li>
A practical understanding of rendering live LLM token streams smoothly within conversational or chat interfaces.</li><li>
A conceptual understanding of machine learning metrics, loss functions, and probability distributions to improve data visualization designs.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</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>

Full Stack Developer

KN International Trading

Avantera Capital is an asset management firm specializing in algorithmic and automated trading across currencies, crypto, stocks, options, commodities, and indices. We build data-driven, AI-powered investment strategies, and engineering sits at the core of what we do.We're hiring a Full-Stack Python Developer for an on-site contract role in Dubai (2&ndash;3 days per week on-site). This is an hourly, ongoing engagement &mdash; ideal for a skilled freelancer. You'll help build and maintain the data and trading infrastructure behind our automated investment platform, spanning data pipelines, backend APIs, databases, and web applications.What you'll work on:- Maintain and improve Python data pipelines that collect market data and load it into PostgreSQL and AWS S3- Build and maintain backend services and REST APIs (Django, FastAPI) and internal dashboards (Streamlit)- Integrate brokerage and financial APIs (Schwab, IBKR), including authentication/token flows, using FIX and REST APIs- Administer Linux servers &mdash; managing services, scheduled jobs, deployments, and recovery- Configure and maintain Nginx, SSL, and service routing- Ensure reliable, secure handling of financial data across the stackRequirements: - You must hold a valid UAE freelance permit or have the right to work on-site- Strong Python and full-stack web development experience- Solid SQL and PostgreSQL skills- Hands-on experience with REST APIs (FIX is a strong plus)- AWS experience, especially S3- Linux server and database administration- Solid understanding of financial data processing and integrationPreferred:- Familiarity with AI coding tools (Claude, Codex)- Brokerage/financial API experience &mdash; Interactive Brokers (IBKR) and Charles Schwab- Django, FastAPI, or Streamlit- Nginx, DevOps, and data-pipeline/ETL experienceCompensation: AED 100&ndash;180 per hour, based on experience.You must be based in Dubai or able to be on-site 2&ndash;3 days per week.Pay: AED100.00 - AED180.00 per hourWork Location: In person

Full-Stack Developer (In Person)

Payfuture

<div>
 
 
 About the Role
 
 
 
 We are looking for a Senior Full Stack Engineer with strong backend expertise and solid frontend capabilities to help build and scale our payment platform.
 
 
 This role is approximately 70% backend and 30% frontend, making it ideal for engineers who enjoy designing scalable systems, APIs, and services while also contributing to modern, user-centric web applications.
 
 
 
 
 
 You will work within cross-functional agile teams alongside Product Managers, Designers, Architects, and Engineers to deliver secure, scalable, and high-performance solutions that power payment experiences for merchants globally.
 
 
 As a Senior Full Stack Engineer, you will be responsible for designing, developing, testing, and maintaining both backend services and frontend applications while ensuring adherence to engineering standards, architectural principles, and best practices.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Backend
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable backend services using C# and .NET Core
 </li>
 <li>
 Build and enhance RESTful APIs and microservices supporting payment processing and merchant platforms
 </li>
 <li>
 Apply SOLID principles, design patterns, and clean architecture practices
 </li>
 <li>
 Write clean, maintainable, and testable code with comprehensive unit and integration tests
 </li>
 <li>
 Optimize application performance, reliability, and scalability
 </li>
 <li>
 Participate in technical design discussions and architectural decisions
 </li>
 <li>
 Collaborate with Technical Project Managers on planning, estimation, and risk management
 </li>
 <li>
 Support CI/CD pipelines, build automation, and deployment processes
 </li>
 <li>
 Troubleshoot and resolve complex production issues
 </li>
 </ul>
 
 
 
 
 
 Frontend
 
 
 <ul>
 <li>
 Develop responsive, secure, and high-performance web applications using React (preferred), Angular, or modern JavaScript frameworks
 </li>
 <li>
 Collaborate closely with Product and Design teams to deliver intuitive user experiences
 </li>
 <li>
 Build reusable UI components and contribute to frontend architecture and design systems
 </li>
 <li>
 Integrate frontend applications with backend APIs and real-time transaction data
 </li>
 <li>
 Optimize applications for usability, accessibility, and performance across devices
 </li>
 <li>
 Participate in code reviews and drive frontend engineering best practices
 </li>
 </ul>
 
 
 
 
 
 Team &amp; Delivery
 
 
 <ul>
 <li>
 Participate in Agile ceremonies including sprint planning, standups, demos, and retrospectives
 </li>
 <li>
 Contribute to technical documentation and engineering standards
 </li>
 <li>
 Collaborate effectively with cross-functional teams across multiple locations
 </li>
 <li>
 Mentor junior engineers and promote engineering excellence across the team
 </li>
 <li>
 Continuously identify opportunities to simplify systems, improve quality, and accelerate delivery
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 6+ years of professional software engineering experience
 </li>
 <li>
 Strong hands-on experience with C# and .NET Core
 </li>
 <li>
 Experience designing and building REST APIs and distributed systems
 </li>
 <li>
 Strong understanding of SOLID principles, design patterns, and software architecture
 </li>
 <li>
 Experience with SQL Server and relational database design
 </li>
 <li>
 Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3
 </li>
 <li>
 Commercial experience with React (preferred) or Angular
 </li>
 <li>
 Experience integrating frontend applications with backend APIs
 </li>
 <li>
 Experience with Git, BitBucket, JIRA, and Agile delivery methodologies
 </li>
 <li>
 Strong debugging, analytical, and problem-solving skills
 </li>
 <li>
 Experience with automated testing and TDD practices
 </li>
 <li>
 Bachelor's degree in Computer Science or equivalent practical experience
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience within FinTech, payments, banking, or financial services
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Knowledge of WebSockets, GraphQL, or micro-frontend architectures
 </li>
 <li>
 Experience with Redux or other state management libraries
 </li>
 <li>
 Familiarity with Material UI, Tailwind CSS, or design systems
 </li>
 <li>
 Experience working in high-volume transactional environments
 </li>
 <li>
 Knowledge of CI/CD, containerization, and DevOps practices
 </li>
 </ul>
 
 
</div>

Full Stack Engineer

Maaloomatiia Academy

<div>
 
 Job Title
 
 
 
 Backend Developer
 
 
 
 Job Scope
 
 
 
 As a Full-Stack Backend Developer, you will be responsible for designing, developing, and maintaining scalable, high-performance backend systems and APIs. You will work primarily with
 
 Node.js and NestJS
 
 , building robust services and integrations, while leveraging
 
 .NET experience
 
 as an added advantage for enterprise and legacy system integration. You will collaborate closely with frontend developers, architects, DevOps engineers, and business stakeholders to deliver secure, reliable, and high-quality software solutions.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Backend Application Development
 </li>
 <ul>
 <li>
 Design, develop, and maintain backend services using Node.js and NestJS.
 </li>
 <li>
 Build modular, scalable, and maintainable server-side architectures.
 
 </li>
 </ul>
 <li>
 API Development
 </li>
 <ul>
 <li>
 Design, implement, and maintain RESTful APIs (and GraphQL where applicable).
 </li>
 <li>
 Ensure APIs are secure, performant, well-documented, and versioned.
 
 </li>
 </ul>
 <li>
 Database Design &amp; Integration
 </li>
 <ul>
 <li>
 Design and optimize relational and/or NoSQL databases.
 </li>
 <li>
 Write efficient queries, indexes, and migrations.
 </li>
 <li>
 Ensure data consistency, integrity, and performance.
 
 </li>
 </ul>
 <li>
 Performance Optimization
 </li>
 <ul>
 <li>
 Identify performance bottlenecks in APIs, database queries, and services.
 </li>
 <li>
 Apply caching, async processing, and other optimization techniques.
 
 </li>
 </ul>
 <li>
 .NET Integration (Plus)
 </li>
 <ul>
 <li>
 Contribute to or integrate with existing .NET / ASP.NET Core services.
 </li>
 <li>
 Support hybrid environments where Node.js and .NET systems coexist.
 
 </li>
 </ul>
 <li>
 Security Implementation
 </li>
 <ul>
 <li>
 Implement authentication and authorization mechanisms (JWT, OAuth, RBAC).
 </li>
 <li>
 Apply security best practices to protect APIs, data, and infrastructure.
 
 </li>
 </ul>
 <li>
 Testing &amp; Quality Assurance
 </li>
 <ul>
 <li>
 Write unit, integration, and API tests to ensure reliability and stability.
 </li>
 <li>
 Participate in automated testing and quality improvement initiatives.
 
 </li>
 </ul>
 <li>
 Debugging &amp; Troubleshooting
 </li>
 <ul>
 <li>
 Diagnose and resolve application, API, and database issues.
 </li>
 <li>
 Support production issues and perform root-cause analysis.
 
 </li>
 </ul>
 <li>
 Version Control &amp; CI/CD
 </li>
 <ul>
 <li>
 Work with version control systems (Git, Azure DevOps, GitHub).
 </li>
 <li>
 Contribute to CI/CD pipelines and automated deployments.
 
 </li>
 </ul>
 <li>
 Code Reviews &amp; Standards
 </li>
 <ul>
 <li>
 Participate in peer code reviews to maintain high coding standards.
 </li>
 <li>
 Ensure adherence to best practices and architectural guidelines.
 
 </li>
 </ul>
 <li>
 Documentation
 </li>
 <ul>
 <li>
 Maintain clear technical documentation for APIs, services, and system designs.
 
 </li>
 </ul>
 <li>
 Collaboration
 </li>
 <ul>
 <li>
 Work closely with frontend developers (e.g., React), architects, DevOps, QA, and business teams to deliver end-to-end solutions.
 
 
 
 </li>
 </ul>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
 </li>
 <li>
 Proven experience developing backend systems using Node.js and NestJS.
 </li>
 <li>
 Strong understanding of RESTful API design and backend architecture.
 </li>
 <li>
 Solid experience with database design and SQL (PostgreSQL, SQL Server, MySQL, etc.).
 </li>
 <li>
 Strong knowledge of asynchronous programming, event-driven architectures, and scalability concepts.
 </li>
 <li>
 Good understanding of object-oriented and/or modular programming principles.
 </li>
 <li>
 Experience with frontend integration (React or similar) from a backend perspective.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and teamwork skills.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Computer Science or equivalent
 
 
 
 Experience
 
 
 
 At least 2 years of relevant experience
 
 
</div>

Backend Developer

Tomsher Technologies LLC

Administrative Responsibilities<ul><li>Manage day-to-day office operations and administrative activities</li><li>Handle calls, emails, and general correspondence</li><li>Maintain and organize records, documents, and filing systems</li><li>Schedule meetings, appointments, and coordinate internal activities</li><li>Prepare reports, presentations, and official documents as required</li><li>MIS report creation</li><li>Elementary knowledge in programming languages (Laravel, MERN stack), frameworks, etc..</li><li>Relevant IT Software industry exposure added advantage</li></ul>Customer Relationship Management<ul><li>Act as the primary point of contact for customer inquiries and support</li><li>Maintain positive relationships with clients through regular communication</li><li>Respond to customer queries in a timely and professional manner</li><li>Coordinate with internal teams to ensure client requirements are met</li><li>Follow up with clients for feedback, updates, and service satisfaction</li><li>Handle customer complaints or concerns and escalate when necessary</li></ul>Coordination &amp; Support<ul><li>Assist in onboarding new clients and maintaining client records</li><li>Track ongoing projects and update clients on progress</li><li>Ensure timely delivery of services in coordination with relevant teams</li></ul>Data Management &amp; Reporting<ul><li>Maintain customer databases and update records regularly</li><li>Generate reports on customer interactions, feedback, and service performance</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Business Administration or related field</li><li>Strong communication and interpersonal skills</li><li>Good organizational and multitasking abilities</li><li>Proficiency in MS Office (Word, Excel, Outlook)</li><li>Customer-focused approach with problem-solving skills</li><li>Ability to handle multiple tasks efficiently</li></ul>Job Type: Full-timeWork Location: In person

Admin Executive – Customer Relationship - IT background

F-Technologies

About F-TechnologiesF-Technologies is a Dubai-based technology company. We build and operate enterprise digital products and infrastructure to high engineering standards, with an automation-first, security-first, and reliability-first mindset.About the RoleF-Technologies is looking for an experienced Infrastructure Lead / Platform Owner to lead the reliability, security, availability, automation, and operational maturity of our enterprise infrastructure. This role was created to raise the operational maturity of our infrastructure team &mdash; you will be expected to establish clear ownership, accountability, automation standards, change communication processes, and a proactive engineering culture from day one. You will own infrastructure standards, private cloud governance, virtualization strategy, container platform governance, disaster recovery, production change control, security posture, incident escalation, and technical leadership for the infrastructure team. The ideal candidate is a hands-on infrastructure leader who has done this before in mature environments and knows exactly how to turn a reactive team into a proactive one.Competitive salary commensurate with experience &mdash; range shared during the screening call.Key ResponsibilitiesInfrastructure Leadership- Own infrastructure architecture, standards, governance, and operational maturity.- Lead infrastructure planning across Linux, Windows, private cloud, application servers, networking, security, containers, and business systems.- Define and enforce infrastructure operating standards.- Review major infrastructure and production changes before implementation.- Lead technical decisions for availability, scalability, monitoring, security, backup, and disaster recovery.- Ensure manual recurring work is converted into automation backlog items.Virtualization, Private Cloud &amp; Container Platform Governance- Define virtualization standards, VM lifecycle policies, template standards, backup standards, and capacity planning models.- Oversee platforms such as VMware, Hyper-V, Proxmox, OpenStack, Nutanix, Azure Stack, or similar.- Define containerization standards for Docker, Kubernetes, OpenShift, Helm, registries, image scanning, secrets, namespaces, RBAC, and resource limits.- Lead standardization of VM templates, golden images, base Docker images, and infrastructure build patterns.- Ensure every VM and containerized workload has an owner, backup plan, monitoring, access model, and documentation.- Prevent VM sprawl and container sprawl through governance.High Availability &amp; Disaster Recovery- Design and maintain high-availability infrastructure.- Own backup validation, restore testing, and disaster recovery planning.- Define RPO/RTO targets for critical systems.- Conduct DR simulations and infrastructure resilience reviews.- Ensure critical systems have documented recovery procedures.Security &amp; Access Governance- Oversee infrastructure security controls across Windows, Linux, private cloud, containers, network, application servers, GitHub Enterprise, TFS/Azure DevOps, CRM, ERP, SharePoint, and Microsoft 365.- Review privileged access, admin accounts, SSH/RDP access, VPN access, firewall rules, service accounts, tokens, and certificates.- Enforce MFA, least privilege, access reviews, audit trails, and secure secrets management.- Lead patch governance and vulnerability remediation priorities.Incident &amp; Escalation Management- Lead major production incidents and coordinate technical response.- Ensure incident severity, escalation, RCA, and post-incident improvement processes are followed.- Convert RCA actions into automation, monitoring, security, or process improvements.- Maintain production runbooks and escalation procedures.- Participate in the on-call rotation for critical production incidents; ensure the team has a functioning escalation path at all times.Team Leadership- Provide technical guidance to systems, application server, and DevOps engineers.- Assign primary and backup ownership for infrastructure systems.- Ensure knowledge sharing and reduce single points of failure.- Support sprint planning, operational backlog prioritization, and infrastructure roadmap planning.Required Qualifications- 8+ years in infrastructure, platform engineering, systems engineering, DevOps, private cloud operations, or enterprise IT operations.- Strong experience leading production infrastructure in mature enterprise environments.- Strong knowledge of Linux and Windows Server environments.- Proven experience building or operating private cloud / virtualization platforms.- Practical experience with Docker and containerized environments.- Exposure to Kubernetes, OpenShift, or similar orchestration platforms.- Strong understanding of networking, DNS, DHCP, SSL/TLS, load balancing, VPN, firewalls, VLANs, and routing.- Experience with HA, backup, DR, incident management, and RCA.- Experience with monitoring tools (Zabbix, PRTG, SolarWinds, Grafana, Prometheus, Datadog, New Relic, or similar).- Strong experience with Active Directory, Entra ID, IAM, RBAC, privileged access, and audit logging.- Ability to create and enforce automation, security, and documentation standards.- Must be based in Dubai, UAE.Preferred Qualifications- GitHub Enterprise, TFS, Azure DevOps Server, or similar developer platforms.- Terraform, Ansible, Packer, PowerShell, Bash, Python, or similar automation tools.- Supporting CRM, ERP, SharePoint, Microsoft 365, or enterprise business systems.- ISO 27001, SOC 2, PCI-DSS, UAE PDPL, GDPR, or similar compliance environments.- Hybrid cloud environments; infrastructure for web and mobile applications.Location: Dubai, UAE &mdash; On-site / Hybrid. Employment type: Full-time.Work Location: In person

Infrastructure Lead / Platform Owner

Boundless

<div>
 
 
 Company Overview
 
 
 
 Our client, a global and rapidly growing financial services group, operates across international markets through a technology-driven, regulated business model. The organisation is investing significantly in Artificial Intelligence, advanced analytics, intelligent automation, and next-generation software engineering capabilities to enhance its platforms, products, internal operations, and customer experience.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineering Lead to establish and drive the organisation&rsquo;s LLM Engineering capability and accelerate AI-powered software development across multiple technology teams. This role will define the standards, architecture, tooling, governance, and development practices required to build secure, scalable, production-ready AI solutions. You will guide engineering teams in adopting modern AI-assisted development workflows, leveraging frontier LLMs, agentic architectures, enterprise RAG systems, and intelligent automation platforms.
 
 
 Working closely with Engineering Managers, Solution Architects, Product Owners, and senior leadership, you will ensure that AI becomes an embedded part of the software development lifecycle. The role combines hands-on technical leadership, architecture oversight, team enablement, and enterprise-wide AI transformation.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI Engineering Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of enterprise-grade LLM applications, AI agents, intelligent automation solutions, and AI-native software products.
 </li>
 <li>
 Guide and mentor engineering teams on AI architecture, prompting strategy, agent design, model selection, code quality, and production deployment.
 </li>
 <li>
 Conduct AI solution design and technical architecture reviews before development begins.
 </li>
 <li>
 Establish engineering standards for secure, scalable, maintainable, and measurable AI implementations.
 </li>
 <li>
 Support teams in adopting AI-first development methodologies while maintaining strong software engineering quality, security, and delivery discipline.
 </li>
 </ul>
 
 
 AI-Assisted Software Engineering
 
 
 <ul>
 <li>
 Champion the use of AI coding and development environments including Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and emerging AI engineering tools.
 </li>
 <li>
 Define enterprise standards for AI-assisted software engineering, developer prompting, code generation, review workflows, and responsible use of AI development tools.
 </li>
 <li>
 Develop reusable prompt libraries, engineering playbooks, technical documentation, and best-practice frameworks.
 </li>
 <li>
 Introduce practical AI-assisted development workflows that improve engineering productivity, code quality, testing, documentation, and delivery speed.
 </li>
 <li>
 Establish methods to measure and improve developer productivity through AI-enabled engineering practices.
 </li>
 </ul>
 
 
 LLM Engineering &amp; Agentic Systems
 
 
 <ul>
 <li>
 Design and optimise production-grade LLM applications using leading models including Claude, OpenAI, Gemini, Mistral, Llama, DeepSeek, and other suitable providers.
 </li>
 <li>
 Build AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, and LlamaIndex.
 </li>
 <li>
 Design and implement enterprise RAG systems using vector databases, knowledge graphs, structured data sources, and internal documentation repositories.
 </li>
 <li>
 Develop scalable MCP servers, tool integrations, API connectors, and secure AI access layers for enterprise systems.
 </li>
 <li>
 Evaluate new LLMs, frameworks, AI platforms, and engineering tools, making recommendations for adoption based on technical fit, security, cost, performance, and business value.
 </li>
 </ul>
 
 
 AI Platform, Architecture &amp; Governance
 
 
 <ul>
 <li>
 Define enterprise AI architecture standards, reference architectures, reusable components, and internal AI platform capabilities.
 </li>
 <li>
 Design secure integrations between LLMs, internal systems, APIs, databases, workflows, and customer-facing applications.
 </li>
 <li>
 Establish guardrails, AI evaluation frameworks, observability standards, model monitoring, prompt testing, and responsible AI practices.
 </li>
 <li>
 Lead technical decision-making around AI infrastructure, deployment patterns, cloud architecture, model hosting, orchestration, and scalability.
 </li>
 <li>
 Support the development of AI governance frameworks covering data privacy, security, access controls, explainability, quality assurance, and risk management.
 </li>
 </ul>
 
 
 Capability Development &amp; Adoption
 
 
 <ul>
 <li>
 Develop an AI Engineering Maturity Model to assess and improve AI adoption across engineering teams.
 </li>
 <li>
 Deliver internal workshops, technical training sessions, and practical enablement programmes for developers, architects, and engineering leaders.
 </li>
 <li>
 Train teams on LLM engineering workflows, AI coding assistants, agentic architectures, RAG implementation, and AI observability practices.
 </li>
 <li>
 Create and maintain internal documentation, coding standards, architecture guidelines, and engineering playbooks.
 </li>
 <li>
 Stay current with emerging AI technologies and continuously identify opportunities to strengthen the organisation&rsquo;s AI engineering capability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
 </li>
 <li>
 At least 7 years of software engineering experience, including strong exposure to software architecture, enterprise applications, APIs, cloud platforms, and modern software delivery practices.
 </li>
 <li>
 At least 3 years of practical experience designing and deploying production LLM applications, AI agents, RAG systems, or intelligent automation solutions.
 </li>
 <li>
 Demonstrated experience leading AI engineering initiatives across multiple engineering teams or business units.
 </li>
 <li>
 Strong hands-on knowledge of LLM application development, prompt engineering, RAG, agentic architectures, MCP, model evaluation, orchestration frameworks, and AI observability.
 </li>
 <li>
 Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or similar technologies.
 </li>
 <li>
 Experience working with vector databases and knowledge systems such as Pinecone, Weaviate, pgvector, Qdrant, Chroma, or similar tools.
 </li>
 <li>
 Strong programming ability in Python and ideally TypeScript, with experience developing APIs using FastAPI or similar frameworks.
 </li>
 <li>
 Strong understanding of REST APIs, Docker, Kubernetes, Git, CI/CD, cloud deployment, and enterprise software integration.
 </li>
 <li>
 Experience with AWS, Microsoft Azure, Google Cloud Platform, or multi-cloud environments.
 </li>
 <li>
 Familiarity with AI observability and evaluation tools such as LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry, or similar platforms.
 </li>
 <li>
 Proven ability to mentor engineers, influence technical direction, establish standards, and communicate complex AI concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Building or leading AI Engineering Centres of Excellence.
 </li>
 <li>
 Establishing enterprise AI governance, responsible AI, and AI risk-management frameworks.
 </li>
 <li>
 Driving AI transformation programmes across software engineering organisations.
 </li>
 <li>
 Defining AI coding standards, AI-SDLC frameworks, and AI-assisted development methodologies.
 </li>
 <li>
 Building enterprise LLM platforms, internal AI tools, reusable AI components, or shared AI services.
 </li>
 <li>
 Implementing enterprise RAG, multi-agent architectures, MCP servers, and AI workflow automation.
 </li>
 <li>
 Measuring productivity, quality, adoption, and delivery improvements resulting from AI-enabled software development.
 </li>
 <li>
 Experience within financial services, fintech, trading, payments, regulated technology environments, or large-scale enterprise platforms.
 </li>
 </ul>
 
 
 
 
 
 Key Technology Areas
 
 
 <ul>
 <li>
 Frontier LLMs: Claude, OpenAI GPT models, Gemini, Mistral, Llama, DeepSeek
 </li>
 <li>
 AI Development Tools: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, OpenAI Codex, Continue.dev
 </li>
 <li>
 Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack
 </li>
 <li>
 Automation: n8n, Make, Zapier, Apache Airflow
 </li>
 <li>
 Knowledge Systems: Pinecone, Weaviate, pgvector, Qdrant, Chroma, LlamaIndex
 </li>
 <li>
 Engineering: Python, TypeScript, FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD
 </li>
 <li>
 Cloud Platforms: AWS, Azure, Google Cloud Platform
 </li>
 <li>
 AI Observability: LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry
 </li>
 </ul>
</div>

AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

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