applications engineer

Klanik

<div>
 
 🚀
 
 Hiring: AI Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 
 
 &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 
 
 &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 
 
 &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 
 
 &bull; AI workflow orchestration &amp; event-driven architectures
 
 
 &bull; AI/ML model deployment &amp; inference optimization
 
 
 &bull; REST APIs, microservices &amp; distributed systems
 
 
 &bull; Integration of AI services with enterprise applications and data platforms
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 
 
 Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 
 
 We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 
 
 You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
</div>

AI Engineer

Acenet consulting

<div><div>Experience: 5 to 8 years
 
Location: Abu Dhabi, Bengaluru, Gurgaon, Pune
 
Job code: 101532
 
Posted on: Jun 24, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
About the Role 
We are looking for a highly motivated AI/ML Engineer with hands-on experience in designing and developing intelligent AI-driven solutions. The ideal candidate should have strong expertise in Conversational AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Python-based application development. The role requires a curious mindset, strong analytical skills, and the ability to quickly learn and adapt to emerging AI technologies.
<div>Key Responsibilities: 
<ul><li>Design, develop, and deploy AI/ML solutions for enterprise applications.</li><li>Build and optimize Conversational AI solutions using Large Language Models (LLMs).</li><li>Create, test, and refine prompts to improve AI model performance and response quality.</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines leveraging both structured and unstructured data sources.</li><li>Develop and maintain RESTful APIs to integrate AI services with business applications.</li><li>Perform web content extraction and data collection using screen-scraping/web-scraping techniques.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions.</li><li>Troubleshoot, optimize, and improve existing AI models and workflows.</li><li>Stay updated with the latest advancements in AI/ML, Generative AI, and emerging technologies.</li></ul></div>
<div>Required Skills &amp; Qualifications: 
<ul><li>5&ndash;8 years of overall IT experience with at least 3&ndash;4 years of relevant experience in AI/ML development.</li><li>Strong proficiency in Python programming.</li></ul></div>
<div>Hands-on experience with: 
<ul><li>Conversational AI platforms and frameworks</li><li>Prompt Engineering / Prompt Creation</li><li>Retrieval-Augmented Generation (RAG)</li><li>Working with both structured and unstructured data sources</li><li>Experience in building and consuming REST APIs.</li><li>Experience with web page content extraction, web scraping, and screen-scraping techniques.</li><li>Strong problem-solving, debugging, and analytical skills.</li><li>Excellent communication and collaboration abilities.</li><li>Self-driven individual with strong curiosity, eagerness to learn, and a focus on delivering high-quality outcomes.</li></ul></div>
<div>Preferred Skills: 
<ul><li>Understanding of Agentic AI concepts and AI orchestration frameworks.</li><li>Exposure to multi-agent systems and workflow automation.</li><li>Experience with vector databases, embeddings, and knowledge retrieval systems.</li><li>with cloud platforms such as AWS, Azure, or Google Cloud.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AppliedAI

<div>
 
 
 AI Engineer
 
 
 
 On-site | Abu Dhabi
 
 
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.
 
 
 
 
 
 
 
 Opus is the world's first
 
 Knowledge Work AI platform
 
 . Built by AppliedAI to pioneer
 
 Supervised Automation
 
 , a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.
 
 
 
 
 
 
 
 The platform uses its proprietary
 
 Large Work Model
 
 to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.
 
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 
 
 As an Opus AI Engineer, you will contribute to the development, optimization, and reliability of Opus&rsquo;s AI infrastructure. You&rsquo;ll work in a cross-functional UAE-based team to build, maintain, and improve the systems that power Opus&rsquo;s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.
 
 
 
 
 
 Your focus will be on implementing clean, efficient, and observable systems that ensure Opus&rsquo;s AI features deliver consistent, high-quality performance for users.
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain AI inference and orchestration pipelines used in production.
 </li>
 <li>
 Optimize model-serving performance, latency, and reliability across live systems.
 </li>
 <li>
 Implement observability, logging, and monitoring for AI components.
 </li>
 <li>
 Contribute to prompt and alignment improvements to enhance response quality and consistency.
 </li>
 <li>
 Refactor existing code for modularity, clarity, and maintainability.
 </li>
 <li>
 Collaborate with senior engineers and product teams to deliver stable, user-facing AI features.
 </li>
 <li>
 Participate in design reviews, testing, and rollout of new systems and improvements.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 2 - 4 years of experience in ML or backend engineering.
 </li>
 <li>
 1+ years working on LLM prompt design, model behavior shaping, or symbolic product-logic integration into language systems.
 </li>
 <li>
 Strong Python programming skills and understanding of production ML systems.
 </li>
 <li>
 Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure).
 </li>
 <li>
 Experience deploying and monitoring inference pipelines (e.g. LLMs, CV models, or similar APIs).
 </li>
 <li>
 Knowledge of observability tools and performance debugging.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why join AppliedAI:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a highly innovative AI technology company.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Growing, entrepreneurial and forward-thinking culture.
 </li>
 <li>
 Career growth and professional development opportunities.
 </li>
 <li>
 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
 </li>
 </ul>
</div>

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Engineering FZ LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
<div><div>About Us
</div><div>Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high ‑ performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power ‑ efficient platforms that power the next generation of intelligent infrastructure.
</div><div>About the role
</div><div>We are seeking a Staff Solutions Engineer to support executing the portfolio of edge initiatives by translating customer opportunities into shippable solutions - from solution definition to demo/pilot execution and into commercial deployment readiness. The ideal candidate is a self-starter who can operate independently, lead technical execution with minimal supervision, and serve as a trusted technical partner to sales, customers, and internal engineering teams .
</div><div>This role spans the full lifecycle: pre ‑ sales solutioning, sales enablement, and post ‑ sales technical success, with direct accountability for technical outcomes in demos, PoCs , pilots, and scaled rollouts across edge initiatives such as edge AI devices and edge infrastructure use cases .
</div><div>You should have strong expertise in AI models, quantization, performance optimization, and deployment, along with the ability to define architecture, size workloads, and design systems. They should also have experience developing deep learning models across hardware platforms, strong programming skills, the ability to work effectively with cross-functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools. 
</div><div>What You&rsquo;ll Do
</div><div>Solutioning &amp; Technical Business Development (Pre ‑ Sales)
</div><div><ul><li>Lead discovery with internal stakeholders and end customers to capture requirements, define success criteria, and shape opportunities into a clear solution scope, architecture, and execution plan.
</li></ul></div><div><ul><li>Create solution blueprints that integrate edge compute + AI workloads + connectivity, including feasibility assessments and &ldquo;fit-to-platform&rdquo; recommendations.
</li></ul></div><div><ul><li>Build and maintain reusable technical assets (reference architectures, demo scripts, BOM guidance, integration patterns) that accelerate field execution and repeatability.
</li></ul></div><div><ul><li>Partner with internal engineering/product teams to translate customer needs into actionable technical requirements, while providing structured feedback based on field learnings.
</li></ul></div><div>Sales Support &amp; Deal Acceleration (Sales Cycle)
</div><div><ul><li>Support sales by leading technical engagements: architecture reviews, technical workshops, competitive positioning discussions, and stakeholder presentations , ensuring technical clarity and risk closure.
</li></ul></div><div><ul><li>Own technical responses for customer-facing deliverables (e.g., technical proposals, solution narratives, pilot plans), ensuring alignment to commercialization goals and operational requirements
</li></ul></div><div><ul><li>Coordinate cross-functional execution (BD, engineering, PMO, partners) to keep pilots and deal-critical milestones on-track and unblock dependencies.
</li></ul></div><div>Demo / Pilot Leadership (PoC Pilot)
</div></div><div><div><ul><li>Design, build, and lead end-to-end demos and pilots, including environment setup, integration, performance validation, and customer walkthroughs
</li></ul></div><div><ul><li>Own pilot execution governance: scope control, success criteria, issue triage, and closure readiness - driving toward a decision point for scale.
</li></ul></div><div><ul><li>Enable customer and partner teams via structured technical training and practical handover artifacts.
</li></ul></div><div>Commercial Deployments &amp; Post ‑ Sales Technical Success
</div><div><ul><li>Support transition from pilot to production by defining deployment prerequisites (security, monitoring, lifecycle ops, integration hardening) and ensuring &ldquo;production-ready&rdquo; technical acceptance.
</li></ul></div><div><ul><li>Act as the technical escalation point during early deployments, driving issue resolution across internal teams and partners, and maintaining customer confidence through clear communication.
</li></ul></div><div><ul><li>Establish repeatable rollout playbooks (deployment patterns, validation checklists, operational handover templates) to support scale across multiple opportunities. 
</li></ul></div><div>Required Qualifications
</div><div><ul><li>Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
</li></ul></div><div><ul><li>10 + years in customer-facing engineering, solutions engineering, field applications, systems engineering, or technical BD roles spanning the full cycle (discovery PoC/pilot deployment/scale)
</li></ul></div><div><ul><li>Proven ability to build and support AI embedded / edge deployments, including ecosystem integration experience across customer engineering, internal business units, and partners to drive aligned, end-to-end execution.
</li></ul></div><div><ul><li>Hands-on experience delivering products/solutions in an applied setting (platform bring-up, system integration, performance validation, deployment support , and field issue resolution )
</li></ul></div><div><ul><li>Strong understanding of edge/IoT solution stacks: device + OS + middleware + connectivity + cloud/edge integration + security considerations.
</li></ul></div><div><ul><li>Strong experience with AI frameworks such as PyTorch and TensorFlow, including deploying and validating AI/ML and computer vision workloads on edge devices, with hands-on performance tuning, quality troubleshooting, and field validation.
</li></ul></div><div><ul><li>Experience deploying and optimizing inference on hardware accelerators ( CPU/GPU/ASIC /NPU) , with understanding of inference systems and optimization for edge AI and/ or Data Center platforms
</li></ul></div><div><ul><li>Excellent C/C++/Python (or equi valent) programming and software design skills, including debugging, profiling, and performance analysis.
</li></ul></div><div><ul><li>Solid understanding of inference hardware constraints and s ystem - level performance bottlenecks (memory bandwidth, latency/throughput tradeoffs, thermal/power constraints).
</li></ul></div><div><ul><li>Hands - on expertise with Linux-based systems, low level software, drivers, and systems bring up.
</li></ul></div></div><div><div><ul><li>E xperience developing/deploying Linux solutions using containers and orchestration (e.g., Docker/Kubernetes), plus source code/config management (Git).
</li></ul></div><div><ul><li>Excellent communication skills: ability to translate complex technical details into clear customer-facing narratives and executive-ready updates.
</li></ul></div><div><ul><li>Ability to serve as the in- timezone , on-the-ground technical owner across multiple concurrent programs, driving structured issue triage, escalations, and reducing delivery risk through tight cross-team alignment . 
</li></ul></div><div>Preferred Qualifications
</div><div><ul><li>Experience enabling, deploying, or supporting solutions on Qualcomm SoC-based systems (IoT/edge/compute) and translat ing customer requirements into actionable platform execution.
</li></ul></div><div><ul><li>Exposure to Qualcomm compute ecosystems (e.g., Snapdragon-class platforms), including subsystem-level understanding (CPU/GPU/NPU/modem/connectivity) and customer enablement patterns.
</li></ul></div><div><ul><li>Familiarity with Qualcomm accelerated inference platforms ( e.g AI100) or comparable data center / edge inference accelerators, with strong end-to-end architecture understanding across edge-to-core environments.
</li></ul></div><div><ul><li>Understanding of wireless connectivity considerations for edge deployments, including cellular communication technologies and filed integration dependencies . 
</li></ul></div><div>Why Join Qualcomm
</div><div>At Qualcomm, you&rsquo;ll work at the intersection of AI silicon, system architecture, and real ‑ world deployment. You will engage directly with strategic customers, influence next ‑ generation AI data center platforms, and help define scalable, power ‑ efficient infrastructure for the AI era. This role provides a unique opportunity to shape both technology direction and customer outcomes, while working with world ‑ class engineering and product teams.
</div></div>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Customer Engineering, Field Engineer & Solutions Architect, Staff - UAE

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Engineering FZ LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Applications Engineering
General Summary:
About Qualcomm IE‑IoT
 
Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
Role Summary
 
The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers.
Key Responsibilities
Solution Architecture &amp; Technical Leadership
<ul><li>Define and own scalable IoT and Edge AI solution blueprints for priority verticals
</li><li>Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations
</li><li>Produce reference architectures, design guides, and deployment playbooks
</li><li>Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability
</li></ul>Customer &amp; Partner Engagement
<ul><li>Act as technical lead and trusted advisor for strategic customers from discovery through production
</li><li>Translate business use‑cases and KPIs into system‑level technical architectures
</li><li>Lead executive‑level architecture reviews and roadmap alignment
</li><li>Collaborate with OEMs, ISVs, system integrators, and cloud partners
</li><li>Support POCs, pilots, and commercial launches
</li></ul>Hands‑On Prototyping &amp; Validation
<ul><li>Lead system bring‑up, prototyping, benchmarking, and optimization
</li><li>Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines
</li><li>Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms
</li></ul>Hybrid Edge AI Architecture
<ul><li>Design distributed AI architectures across on‑device, on‑prem edge, and cloud
</li><li>Enable offline/online operation, observability, fleet management, and secure enterprise integration
</li></ul>Cross‑Functional Leadership
<ul><li>Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
</li><li>Feed real‑world deployment insights into platform, SDK, and roadmap improvements
</li><li>Represent Qualcomm in customer workshops and industry forums
</li></ul>Technical Profile
<ul><li>Strong system‑level expertise in IoT, embedded systems, and Edge AI
</li><li>Hands‑on software experience in Python and/or C/C++
</li><li>Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools)
</li><li>Background in computer vision and/or generative AI inference
</li><li>Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G
</li></ul>Preferred Experience
<ul><li>Delivering production IoT or Edge AI systems in customer‑facing roles
</li><li>Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
</li><li>Hybrid edge/cloud architectures
</li><li>Executive‑level communication and product roadmap influence through deployments
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
<ul><li>4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
</li><li>4+ years of experience with debugging techniques.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

IoT Solutions Architect - Abu Dhabi, UAE

Cognizant

<div>
 
 We are seeking an AI-Native Software Engineer who views AI not just as an autocomplete tool, but as a core collaborative partner in software delivery. In this role, you will spend less time manually writing boilerplate and more time architecting systems, designing precise technical specifications, and orchestrating multi-agent workflows.
 
 
 
 
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 
 System Architecture &amp; Design:
 
 Define high-level system structures, API contracts, and data models before instructing AI tools to implement them. Own the design, not just the execution.
 </li>
 <li>
 
 Context Engineering &amp; Spec Writing:
 
 Author rigorous, unambiguous technical specifications and context rules to guide AI agents toward deterministic, reviewable outputs.
 </li>
 <li>
 
 RAG Pipeline Design:
 
 Architect and own end-to-end Retrieval-Augmented Generation pipelines, document ingestion, chunking strategy, embedding selection, vector store configuration, hybrid retrieval, and relevance evaluation.
 </li>
 <li>
 
 Agentic Workflow Management:
 
 Build and operate agent harnesses using orchestration frameworks (e.g. LangGraph, LangChain, AutoGen) including tool definitions, routing logic, guardrails, fallback paths, and evaluation hooks.
 </li>
 <li>
 
 Human-in-the-Loop Validation:
 
 Design and enforce HITL gates for agentic write operations. Know when to automate and when to require human sign-off, especially for irreversible or high-stakes actions.
 </li>
 <li>
 Review, test, and audit AI-generated code for security vulnerabilities, performance characteristics, edge cases, and architectural alignment before it reaches production.
 </li>
 </ul>
 
 
 
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 
 Engineering Fundamentals:
 
 Strong mastery of computer science fundamentals &mdash; data structures, algorithms, distributed systems, and system design. You must be able to catch and correct AI errors because you understand the underlying systems.
 </li>
 <li>
 
 Code Review &amp; Auditing:
 
 Exceptional ability to read, evaluate, and critique AI-generated code across multiple languages rapidly.
 </li>
 <li>
 
 Agentic System Design:
 
 Hands-on production experience building agent harnesses, multi-agent orchestration pipelines, and supervisor/routing patterns using frameworks such as LangGraph, LangChain, or equivalent.
 </li>
 <li>
 
 RAG &amp; Retrieval Engineering:
 
 Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search, Reciprocal Rank Fusion, and retrieval quality evaluation.
 </li>
 <li>
 
 AI Tooling Proficiency:
 
 Advanced hands-on experience with AI-native IDEs (e.g. Cursor, Windsurf, GitHub Copilot) and command-line agentic tools (e.g. Claude Code, Aider, Codex CLI).
 </li>
 <li>
 
 Context &amp; Prompt Engineering:
 
 Proven ability to manage AI context windows, system instructions, tool schemas, and prompt structure to produce consistent, auditable outputs.
 </li>
 <li>
 
 Cloud &amp; API Integration:
 
 Solid experience with cloud-native deployment (Azure, AWS, or GCP), RESTful API design, async patterns, and enterprise identity/auth integration.
 </li>
 <li>
 
 Testing &amp; CI/CD:
 
 Strong experience writing automated test suites to validate AI-generated logic inside modern CI/CD pipelines, including adversarial and edge-case coverage.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent deep production experience.
 </li>
 <li>
 Experience integrating with enterprise HR, workforce, or ERP platforms (e.g. SAP SuccessFactors, Workday, Concur, or Oracle HCM) &mdash; particularly in an agentic or API integration context.
 </li>
 <li>
 
 Hands-on ML experience beyond API consumption:
 
 model fine-tuning, training pipelines, evaluation frameworks, or MLOps deployment.
 </li>
 <li>
 Familiarity with enterprise identity providers (e.g. OKTA, Azure AD) and secure token handling in agentic contexts.
 </li>
 <li>
 A portfolio or GitHub repository demonstrating projects built primarily via agentic or spec-driven development methodologies.
 </li>
 </ul>
 
 
</div>

AI-Native Engineer

Confidential Careers

<div>
 
 
 We&rsquo;re Hiring: AI Engineer | UAE N
 
 
 
 We are looking for a passionate and hands-on
 
 AI Engineer
 
 to join our growing team and help build cutting-edge AI-powered solutions.
 
 
 
 
 
 
 About the Role
 
 
 
 As an AI Engineer, you will be responsible for
 
 designing, building, and deploying AI-driven features and applications
 
 using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on
 
 developing real-world AI products
 
 , not research or model training.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop and deploy AI-powered applications from prototype to production
 </li>
 <li>
 Integrate LLMs (GPT, Claude) into business solutions using APIs
 </li>
 <li>
 Design prompts, workflows, and AI agents to improve output quality
 </li>
 <li>
 Work with Azure AI Foundry and modern AI platforms
 </li>
 <li>
 Continuously evaluate and adopt new AI tools and technologies
 </li>
 <li>
 Collaborate with product, design, and engineering teams
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, or related field
 </li>
 <li>
 Strong Python and software engineering skills
 </li>
 <li>
 Experience working with APIs and LLM integrations
 </li>
 <li>
 Hands-on experience with GPT, Claude, or similar models
 </li>
 <li>
 Familiarity with tools like Git and modern AI frameworks
 </li>
 <li>
 Ability to work in a fast-paced, evolving environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar frameworks
 </li>
 <li>
 Knowledge of RAG, vector databases, or Azure AI tools
 </li>
 <li>
 Exposure to open-source LLMs (Hugging Face, Ollama)
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

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