project engineer

site engineer

planning engineer

devops engineer

full stack developer

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

talabat

<div>
 
 A Little Bit About Talabat
 
 
 
 talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries
 
 
 across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat&rsquo;s success
 
 
 expanded to the rest of the GCC region, Egypt &amp; Jordan, making it the largest and most popular food
 
 
 ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands
 
 
 of orders every day. We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and operations in 40+ countries.
 
 
 
 A Little Bit About Our Engineering Culture
 
 
 
 We love finding new ways to shorten the feedback loops, create together and make an impact. To do
 
 
 so, our engineering culture and practices are based on eXtreme Programming (XP), Domain-Driven
 
 
 Design, Lean and Continuous Delivery. We believe that the assumption behind the &ldquo;Speed vs Quality&rdquo; mindset is flawed and that you can both have your cake and eat it too. For us, quality enables speed. Not in 2 years, but now.
 
 
 Co-creating together with others through Pair and Mob programming helps us deliver more value
 
 
 sooner and find joy in our work by seeking productive human connections with others. We find that engineers seeking to understand our product and business better understand the context of their work, which helps them to innovate, deliver more value to their customers and find
 
 
 more purpose in their work
 
 
 
 Job Description
 
 
 
 
 Role summary
 
 
 
 <ul>
 <li>
 Alongside other engineers and members of your team (product, data), participate in
 
 
 </li>
 </ul>
 continuous discovery of your customer/business needs/desires/problems to drive desired outcomes
 
 
 <ul>
 <li>
 With guidance from other engineers, design, write and release software as a solution to an
 
 
 </li>
 </ul>
 end-to-end problem in your business domain and deliver value in small batches in accordance with our engineering standards
 
 
 <ul>
 <li>
 Understand scalability &amp; complexity of your services
 </li>
 <li>
 Participate in optimization of your team&rsquo;s practices to develop it into a self-organized, continuously improving unit
 </li>
 <li>
 Seek mentorship to become a product engineer capable of solving a business problem, end-to-end
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 The following experience is relevant to us
 
 
 
 <ul>
 <li>
 Empathetic and able to easily build relationships with other engineers
 </li>
 <li>
 Good verbal and written communication skills
 </li>
 <li>
 Humble, curious, and open-minded with a growth mindset, thriving on continuous feedback
 </li>
 <li>
 Good knowledge of foundational software engineering with some software development
 
 
 </li>
 </ul>
 experience, preferably with .NET, Golang or C# programming languages
 
 
 <ul>
 <li>
 Exposed to testing with focus on automated end to end quality
 </li>
 <li>
 Understands basics of Distributed Systems Architecture (Microservices, Event-Driven,
 
 
 </li>
 </ul>
 and RESTful Services)
 
 
 <ul>
 <li>
 Understands basics of relational and nonrelational databases as well as cloud platforms (e.g.AWS, Google Cloud, Azure)
 </li>
 <li>
 Preferred: Bachelor's Degree in Computer Science or other related technical field
 </li>
 </ul>
</div>

Software Engineer I - Backend

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)

RAS Investment Group

​We are seeking a motivated and tech-savvy Junior IT Specialist to join our growing IT team. In this role, you will be the first point of contact for internal staff seeking technical assistance. You will handle basic hardware and software troubleshooting, maintain IT inventory, and assist in network setup. This is an excellent opportunity for a fresh graduate or early-career professional looking to develop their skills in a dynamic corporate environment.​Key Responsibilities:​Technical Support: Provide day-to-day technical support for employees regarding hardware (PCs, laptops, printers) and software applications.​System Maintenance: Assist in installing, configuring, and updating operating systems (Windows/macOS) and standard corporate software.​User Management: Manage user accounts, permissions, and passwords within Active Directory or Microsoft / Google Workspace.​Troubleshooting: Diagnose and resolve basic network connectivity issues (Wi-Fi, LAN, VPN).​Inventory &amp; Documentation: Maintain an accurate inventory of IT assets (hardware, licenses) and document common technical issues and solutions.​Requirements &amp; Qualifications:​Education: Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).​Experience: 1&ndash;2 years of experience in an IT support or Helpdesk role.​Technical Skills:​Good knowledge of Windows 10/11 and macOS environments.​Basic understanding of networking concepts (TCP/IP, DNS, DHCP).​Familiarity with Microsoft 365 or Google Workspace administration is a plus.​Soft Skills: Strong problem-solving abilities, excellent communication skills, and a high level of patience and customer-service orientation.Pay: AED2,000.00 - AED2,500.00 per hourApplication Question(s):<ul><li>Can you join immediately? </li><li>What Is your salary Expectation?</li></ul>Work Location: In person

Junior IT Officer

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

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 
 Responsibilities
 
 
 
 In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none.
 
 
 You'll be working across the back-end:
 
 
 <ul>
 <li>
 Constructing a real-time digital twin of our renewable generation and customer demand
 </li>
 <li>
 Developing messaging interfaces with our third-party providers
 </li>
 <li>
 Building high-volume pipelines for processing customer energy consumption
 </li>
 <li>
 Build the backend of a world class energy app
 
 
 </li>
 </ul>
 For this role, you should be able to think on your feet and adapt to new business needs as well as take ownership of projects and drive change.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Demonstrable excellence as a Software Engineer
 </li>
 <li>
 Ideally 2+ years experience
 </li>
 <li>
 Proven ability to define and build complex systems
 </li>
 <li>
 Hands-on experience shipping highly-available production systems
 </li>
 <li>
 Clear communication
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience with infrastructure as code (e.g. AWS CDK)
 </li>
 <li>
 Experience in the Energy sector
 </li>
 <li>
 Experience shipping consumer-facing products
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Senior/Lead Backend Engineer

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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