project engineer

site engineer

devops engineer

full stack developer

senior product designer

ai developer

Unique Wholesale and Distributions Limited 

Position OverviewWe are seeking an experienced and innovative AI &amp; Python Developer to design, develop, implement, and maintain intelligent automation solutions with a strong focus on WhatsApp-based AI systems. The successful candidate will be responsible for building AI-powered virtual assistants, workflow automations, chatbot solutions, and business process integrations that enhance customer engagement, operational efficiency, and internal communications.The role requires strong Python development skills, experience with Large Language Models (LLMs), API integrations, database management, automation frameworks, and WhatsApp Business Platform development.Key ResponsibilitiesAI Development &amp; Automation<ul><li>Design, develop, and deploy AI-powered assistants and automation solutions.</li><li>Build conversational AI agents capable of handling customer service, sales, operations, and support functions.</li><li>Develop autonomous AI workflows capable of performing tasks with minimal human intervention.</li><li>Create AI-driven decision-making processes and automated response systems.</li><li>Integrate AI solutions with internal business applications and third-party platforms.</li></ul>WhatsApp AI Development<ul><li>Develop and maintain WhatsApp AI assistants using the WhatsApp Business API.</li><li>Build intelligent chatbots capable of:</li><li>Customer support automation</li><li>Lead qualification</li><li>Appointment scheduling</li><li>Order tracking</li><li>FAQ management</li><li>Employee support services</li><li>Implement automated workflows triggered by WhatsApp messages.</li><li>Configure message routing, escalation paths, and human handover functionality.</li><li>Develop multi-language support capabilities.</li><li>Monitor and optimize chatbot performance and customer experience.</li></ul>Python Development<ul><li>Develop scalable backend systems using Python.</li><li>Build REST APIs and microservices.</li><li>Create automation scripts for business processes and system integrations.</li><li>Develop data processing pipelines and AI workflow orchestration tools.</li><li>Write clean, maintainable, and well-documented code.</li><li>Conduct debugging, testing, and performance optimisation.</li></ul>AI Model Integration<ul><li>Integrate Large Language Models (LLMs) such as:</li><li>OpenAI GPT</li><li>Claude</li><li>Gemini</li><li>Other enterprise AI platforms</li><li>Develop Retrieval-Augmented Generation (RAG) solutions.</li><li>Implement vector databases and knowledge management systems.</li><li>Fine-tune prompts and AI workflows to improve response quality and reliability.</li></ul>Systems Integration<ul><li>Integrate AI solutions with:</li><li>CRM Systems</li><li>ERP Systems</li><li>Odoo</li><li>Microsoft 365</li><li>Google Workspace</li><li>Internal databases</li><li>Third-party APIs</li><li>Develop secure data exchange mechanisms between platforms.</li><li>Build event-driven automation workflows.</li></ul>Data &amp; Analytics<ul><li>Develop reporting dashboards for AI performance monitoring.</li><li>Analyse chatbot interactions and user engagement metrics.</li><li>Monitor AI accuracy and continuously improve performance.</li><li>Create automated reporting tools and business intelligence integrations.</li></ul>Security &amp; Compliance<ul><li>Ensure compliance with data privacy regulations and company policies.</li><li>Implement secure authentication and authorisation methods.</li><li>Maintain security best practices for API integrations and AI systems.</li><li>Ensure responsible AI usage and governance standards are maintained.</li></ul>Required Skills &amp; ExperienceTechnical Requirements<ul><li>Minimum 3+ years of Python development experience.</li><li>Strong experience with:</li><li>Python</li><li>FastAPI or Flask</li><li>REST API development</li><li>SQL and NoSQL databases</li><li>Git version control</li><li>Experience developing AI applications using:</li><li>OpenAI APIs</li><li>LangChain</li><li>LlamaIndex</li><li>Vector Databases</li><li>Experience with WhatsApp Business API implementation.</li><li>Experience integrating third-party systems and APIs.</li><li>Understanding of cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Experience with Docker and deployment environments.</li></ul>AI &amp; Machine Learning<ul><li>Understanding of:</li><li>Natural Language Processing (NLP)</li><li>Prompt Engineering</li><li>Conversational AI</li><li>AI Agents</li><li>Workflow Automation</li><li>Knowledge Base Systems</li><li>Experience creating autonomous AI agents and task automation systems.</li></ul>Preferred Experience<ul><li>Odoo ERP development experience.</li><li>Experience with Twilio, Meta WhatsApp API, or similar messaging platforms.</li><li>Knowledge of RAG architecture and vector search technologies.</li><li>Experience with workflow automation platforms.</li><li>Understanding of business operations, logistics, warehouse management, or distribution systems.</li></ul>Key DeliverablesThe successful candidate will be expected to:<ul><li>Develop a fully functional WhatsApp AI Assistant.</li><li>Build automated customer support workflows.</li><li>Create AI-powered lead management systems.</li><li>Implement business process automation solutions.</li><li>Develop reporting and analytics dashboards.</li><li>Integrate AI assistants with internal company systems.</li><li>Continuously improve AI performance and user experience.</li></ul>Pay: AED5,000.00 - AED8,000.00 per monthApplication Question(s):<ul><li>this is a urgent requirement - are you available for immediate start?</li></ul>Work Location: In person

AI & Python Developer (WhatsApp AI Automation Specialist)

ALBA CORP

<div>
 We are looking for an
 
 AI Engineer
 
 to design, build, and own production-grade systems powered by modern AI development tools, automation platforms, databases, and intelligent agents.
 
 
 This role is suited to an experienced, hands-on developer who thinks in databases, APIs, workflows, and scalable system architecture&mdash;not isolated prototypes. You should be comfortable moving quickly with tools such as Claude Code and Codex while maintaining reliability, security, and clean technical standards. If you have shipped systems that teams or customers actively depend on, keep reading.
 
 
 
 Key Responsibilities
 
 
 
 
 AI Systems &amp; Database Architecture
 
 
 
 <ul>
 <li>
 Design, implement, and maintain scalable database architectures using Supabase and MongoDB.
 </li>
 <li>
 Deploy and manage AI agents, including Openclaw, Hermes, and Cowork, across multiple operational use cases.
 </li>
 <li>
 Build production-ready applications and internal systems using modern AI-assisted development workflows.
 </li>
 <li>
 Monitor system reliability, troubleshoot technical issues, and improve performance as usage grows.
 
 
 </li>
 </ul>
 
 Automation &amp; Systems Integration
 
 
 
 <ul>
 <li>
 Build, maintain, and scale workflow automations using n8n, Make, and Zapier.
 </li>
 <li>
 Integrate third-party APIs and connect systems across business functions from end to end.
 </li>
 <li>
 Develop reliable data flows between databases, AI agents, CRMs, ERPs, and external platforms.
 </li>
 <li>
 Create clear technical documentation for workflows, integrations, and system dependencies.
 
 
 </li>
 </ul>
 
 Business Platforms &amp; Technical Delivery
 
 
 
 <ul>
 <li>
 Customize and extend CRM and ERP platforms to support real operational requirements.
 </li>
 <li>
 Translate business challenges into practical, maintainable technical solutions.
 </li>
 <li>
 Collaborate with internal stakeholders to define requirements, test implementations, and deliver improvements.
 </li>
 <li>
 Take ownership of systems from initial architecture and development through deployment and ongoing support.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Several years of hands-on experience building and supporting production systems&mdash;not only demonstrations or prototypes.
 </li>
 <li>
 Proven experience creating workflow automations with n8n, Make, or Zapier.
 </li>
 <li>
 Strong proficiency with modern AI coding tools such as Claude Code and Codex.
 </li>
 <li>
 Solid database architecture experience using Supabase and MongoDB.
 </li>
 <li>
 Practical experience deploying AI agents such as Openclaw, Hermes, or Cowork.
 </li>
 <li>
 Strong API development and third-party integration capabilities.
 </li>
 <li>
 A portfolio of shipped systems that you can explain and demonstrate during the interview process.
 
 
 </li>
 </ul>
 Experience with
 
 Python, Odoo, ReactJS, Node.js, Vite, Tailwind CSS, or hands-on CRM and ERP customization
 
 will be an advantage.
 
 
 
 Salary &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: AED 6,000&ndash;8,000 per month, based on experience and demonstrated technical ability
 </li>
 <li>
 Work visa sponsorship
 </li>
 <li>
 Medical insurance
 </li>
 <li>
 30 days of paid annual leave
 </li>
 <li>
 Access to modern AI development tools and technical platforms
 </li>
 <li>
 Opportunities for technical training and continuous learning
 </li>
 <li>
 A fast-moving, collaborative environment with ownership of meaningful projects
 </li>
 <li>
 Company-provided equipment required for the role
 
 
 </li>
 </ul>
 
 Work Arrangement
 
 
 
 
 Type:
 
 Full-time, on-site position
 
 
 Remote or hybrid work is not available. Candidates must be based in or willing to relocate to the UAE.
 
 
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Build AI systems and automations that are used in real business operations.
 </li>
 <li>
 Work with modern AI agents, databases, development tools, and automation platforms.
 </li>
 <li>
 Own projects from architecture and development through deployment and optimization.
 </li>
 <li>
 Grow within a team that values technical initiative, rapid execution, and practical problem-solving.
 
 
 </li>
 </ul>
 
 Join us and code the future&mdash;apply now to make your mark.
 
</div>

AI Engineer (Vibe Coder)

Kirpa Properties LLC

Job descriptions:-We&rsquo;re Hiring: AI OfficerDubai, UAE | Kirpa Properties | Full-timeThis is a builder&rsquo;s role, not an advisory one. You will personally architect, build, and ship AI systems &mdash;writing the automations, wiring the integrations, standing up the agents, and owning them in production.You will sit close to the founders, translate business problems into working software, and raise the whole group&rsquo;s capability with AI.You will own the full lifecycle: identify the opportunity &rarr; design the solution &rarr; build it &rarr; deploy it&rarr; measure it &rarr; train the team on it.What You&rsquo;ll DoBuild AI-integrated systems* Sales &amp; CRM automation &mdash; speed-to-lead calling, intelligent lead routing, follow-up sequences, and WhatsApp/Instagram DM automation for the brokerage.* Agentic workflows &mdash; build and maintain AI agents that draft offers, qualify leads, summarise calls, and handle repetitive back-office work.* Content &amp; media tooling &mdash; AI pipelines for script generation, avatar/voice workflows, image and video assets, and publishing across The Kirpa Show and social channels.Kirpa Group &middot; Built on loyalty and trust &middot;* Internal operations &mdash; reporting automation, performance dashboards, document generation(contracts, brochures, pitch decks), and data flows between systems.* Integrations &mdash; connect CRMs, telephony, messaging, Google Workspace, accounting, andbespoke tools into reliable end-to-end systems. Own strategy &amp; delivery* Define and maintain the group&rsquo;s AI roadmap &mdash; prioritising by business impact and feasibility.* Evaluate and select models, platforms, and vendors; manage costs, usage, and data governance.* Set standards for security, privacy, and responsible AI use across the group.* Establish metrics and report on ROI, adoption, and performance of every system you ship.Raise the team&rsquo;s capability* Train agents, content creators, and operations staff to use AI tools effectively in their daily work.* Create internal playbooks, prompt libraries, and lightweight documentation so systems are usableand maintainable.* Act as the group&rsquo;s go-to expert &mdash; the person who turns &ldquo;can AI do this?&rdquo; into a working system.What You&rsquo;ll Bring Must-have* Hands-on building &mdash; demonstrable experience personally building and shipping AI/automation systems &mdash; not just advising on them.* Engineering ability &mdash; strong programming skills (Python and/or JavaScript/TypeScript) and comfort with APIs, webhooks, and databases.* LLM fluency &mdash; practical experience with large-language-model APIs (e.g. Anthropic Claude,OpenAI), prompt engineering, RAG, and agent frameworks.* Automation platforms &mdash; proficiency with tools such as n8n, Make, or Zapier, and integrating third-party services (telephony like Twilio, messaging/WhatsApp, CRMs).* Product sense &mdash; able to take a vague business problem and independently scope, build, and deliver a working solution end-to-end.* Ownership &mdash; self-directed, fast-moving, and accountable for systems in production &mdash;comfortable being the only AI person in the room. Nice-to-have* Experience in real estate, e-commerce/retail, or media/content production.* Front-end skills (React/HTML) for building internal tools and dashboards.* Familiarity with voice/avatar and generative-media tools (e.g. ElevenLabs, HeyGen, image/videogeneration).* Data engineering, analytics, or BI experience.* Experience training non-technical teams to adopt new tools.What Success Looks Like* First 90 days &mdash; ship at least one high-impact system in production (e.g. speed-to-leadautomation) and map the group-wide AI roadmap.Kirpa Group &middot; Built on loyalty and trust &middot; Page 2* First 6 months &mdash; measurable gains in sales response time, content output, and operationalefficiency from systems you&rsquo;ve built.* First 12 months &mdash; a connected stack of AI systems across the group, an enabled team usingthem daily, and AI established as a durable Kirpa advantage.Why Join Kirpa* A rare blank-canvas mandate: build the entire AI function from the ground up, your way.* Direct access to the founders and the authority to ship &mdash; no layers, no bureaucracy.* Exposure across five distinct businesses &mdash; real estate, development, retail, media, andinvestment.* A fast-growing group that genuinely values technology and rewards results.* Competitive package, commensurate with experience and impact.How to ApplySend your CV, a short note on why this role fits, and &mdash; most importantly &mdash; examples of AI systemsyou have personally built and shipped (links, demos, repos, or a brief write-up). We care more aboutwhat you&rsquo;ve built than where you&rsquo;ve worked.Apply to: [careers@kirpaproperties.com] Business Bay, Dubai.Kirpa GroupAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your last salary &amp; salary expectation? </li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Location:<ul><li>Dubai (Preferred)</li></ul>Work Location: In person

AI Officer

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 Our AI Software Engineers and Senior AI Software Engineers are part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.
 
 
 We Are Looking For Dedicated Individuals With a Passion For Software Development, Large-scale Data Analytics And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Apply software development practices and standards to develop robust and maintainable software
 </li>
 <li>
 Actively involved in every part of the software development process
 </li>
 <li>
 Experienced at guiding non-technical teams and consultants in and best practices for robust software development
 </li>
 <li>
 Optimize and enhance computational efficiency of algorithms and software design
 </li>
 <li>
 Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
 </li>
 <li>
 Enjoy collaborating in teams to share software design and solution ideas
 </li>
 <li>
 A natural problem-solver and intellectually curious across a breadth of industries and topics
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Forward Deployed AI Engineer, United Arab Emirates - BCG X

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

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

Virtusa

<div>
 Core Backend Engineering
 
 
 <ul>
 <li>
 Design and build production-grade microservices using Java 17+ and Spring Boot 3.x adhering to clean
 
 
 </li>
 </ul>
 code and SOLID principles
 
 
 <ul>
 <li>
 Own services end-to-end spec &rarr; design &rarr; implement &rarr; test &rarr; deploy &rarr; monitor &rarr; iterate &mdash; with no
 
 
 </li>
 </ul>
 hand-offs
 
 
 <ul>
 <li>
 Author OpenAPI 3.x specifications and Architecture Decision Records (ADRs) before writing code;
 
 
 </li>
 </ul>
 champion spec-driven development
 
 
 <ul>
 <li>
 Write comprehensive unit, integration, and contract tests using TDD discipline with &ge;80% meaningful
 
 
 </li>
 </ul>
 coverage
 
 
 <ul>
 <li>
 Design and manage event-driven architectures using Apache Kafka for asynchronous workflows, domain
 
 
 </li>
 </ul>
 events, and data streaming
 
 
 <ul>
 <li>
 Architect and deploy services on AWS (ECS/EKS, Lambda, RDS, S3, SQS/SNS, CloudWatch, IAM)
 
 
 </li>
 </ul>
 Core Backend (Non-Negotiable)
 
 
 Java 17+ &mdash; records, sealed classes, virtual threads / Project Loom
 
 
 <ul>
 <li>
 Spring Boot 3.x &mdash; Spring Security, Spring Data JPA/JDBC, Spring WebFlux, Spring Cloud
 </li>
 <li>
 Microservices architecture patterns API Gateway, Circuit Breaker (Resilience4j), Saga, CQRS, Outbox
 </li>
 <li>
 RESTful API design with OpenAPI 3.x specifications as source of truth
 </li>
 <li>
 10+ years of professional hands-on backend software engineering experience in production environments mandatory
 </li>
 <li>
 Demonstrated, verifiable enterprise-scale Agentic SDLC / AI-DLC implementation experience &mdash; mandatory
 </li>
 <li>
 Experience in banking, fintech, or a similarly regulated, high-compliance domain &mdash; strongly preferred
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent
 
 
 </li>
 </ul>
 professional experience)
 
 
 <ul>
 <li>
 AWS Certified Developer / Solutions Architect &mdash; a plus
 </li>
 <li>
 Proven track record of delivering complex distributed systems with high availability and measurable
 
 
 </li>
 </ul>
 performance outcomes
 
 
 NICE TO HAVE
 
 
 <ul>
 <li>
 Experience with open banking APIs, PSD2, or CBDC-related workloads
 </li>
 <li>
 Knowledge of AML, KYC, or fraud detection system design
 </li>
 <li>
 Contributions to open-source LLM tooling, MCP servers, or Agentic SDLC / AI-DLC frameworks
 </li>
 <li>
 Familiarity with CQRS + Event Sourcing patterns
 </li>
 <li>
 Experience with Flowable BPM/CMMN workflow automation in Spring Boot
 </li>
 </ul>
</div>

Senior Backend Engineer - Agentic SDLC / AI-Driven  Development Lifecycle (AI-DLC) Platform

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