llm engineer

Ultralytics

<div>
 
 About Ultralytics:
 
 
 
 At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.
 
 
 
 🌎 Location and Legalities
 
 
 
 This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
 
 
 
 🚀 What You'll Do
 
 
 
 As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include:
 
 
 <ul>
 <li>
 Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini.
 </li>
 <li>
 Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience.
 </li>
 <li>
 Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment.
 </li>
 <li>
 Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
 </li>
 <li>
 Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.
 </li>
 <li>
 Collaborating with our YOLO development team to explore and build innovative multi-modal solutions.
 </li>
 <li>
 Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.
 
 
 </li>
 </ul>
 Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.
 
 
 
 🛠️ Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).
 </li>
 <li>
 Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
 </li>
 <li>
 Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.
 </li>
 <li>
 Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB.
 </li>
 <li>
 Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
 </li>
 <li>
 Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions.
 </li>
 <li>
 A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus.
 </li>
 <li>
 Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
 
 
 </li>
 </ul>
 
 🌟 Cultural Fit - Intensity Required
 
 
 
 Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
 
 
 
 💶 Compensation And Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: Highly competitive based on experience.
 </li>
 <li>
 Startup Equity: Participate directly in our company's growth and success.
 </li>
 <li>
 Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
 </li>
 <li>
 Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
 </li>
 <li>
 Flexible Hours: Tailor your working hours to suit your productivity.
 </li>
 <li>
 Tech: Engage with cutting-edge AI projects and contribute to leading open-source software.
 </li>
 <li>
 Gear: Brand-new Apple MacBook and Apple Display provided.
 </li>
 <li>
 Team: Become part of a supportive and passionate team environment.
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 
 Cutting-Edge-next generation AI computer vision technology:
 
 contribute to building cutting edge computer vision AI models based on the YOLO framework.
 
 
 
 Impactful Work:
 
 Shape the future of AI-powered solutions that transform industries.
 
 
 
 Collaborative Culture:
 
 Join a talented and passionate team that values open communication and innovation.
 
 
 
 Ultralytics Handbook
 
 
 
 Comprehensive guide to our company&rsquo;s mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.
 
 
 Link: https://handbook.ultralytics.com/
 
 
 
 Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
 
 
 
</div>

LLM Engineer

unique projects GmbH & Co. KG

<div>Wir entwickeln eine Enterprise-Plattform f&uuml;r Digitale Transformation und AI mit Fokus auf intelligente Assistenzsysteme, AI-Agenten, Prozessautomatisierung und sichere AI-Nutzung. 
<div><div> 
Digital Transformation &amp; AI
</div><div> 
Vollzeit
</div><div> 
01.09.2026
</div></div><div><h2 class="jobSectionHeader">AI Engineer / LLM Engineer (m/w/d)</h2>
Wir entwickeln eine Enterprise-Plattform f&uuml;r Digitale Transformation und AI mit Fokus auf intelligente Assistenzsysteme, AI-Agenten, Prozessautomatisierung und sichere AI-Nutzung.
</div><div><h2 class="jobSectionHeader">Diese Aufgaben erwarten Dich:</h2>
<ul><li>Entwicklung intelligenter AI-Agenten und moderner Conversational-AI-L&ouml;sungen f&uuml;r Enterprise-Anwendungen</li>
<li>Konzeption, Aufbau und kontinuierliche Weiterentwicklung leistungsf&auml;higer RAG-Systeme</li>
<li>Entwicklung dynamischer Prompt-Flows sowie intelligenter Agent-Workflows</li>
<li>Integration moderner Large Language Models (LLMs) in skalierbare Enterprise-Plattformen</li>
<li>Entwicklung von Tool-Calling-, Automatisierungs- und AI-Orchestrierungslogiken</li>
<li>Anbindung und Verarbeitung von Unternehmensdaten, APIs und externen Systemen</li>
<li>Testing, Evaluation und kontinuierliche Optimierung der AI-Antwortqualit&auml;t und User Experience</li>
<li>Mitarbeit an innovativen und skalierbaren AI-Produkten mit echtem Business Impact</li>
</ul>
</div><div><h2 class="jobSectionHeader">Darauf kannst Du dich freuen:</h2>
Unsere &bdquo;unique&ldquo; Atmosph&auml;re sowie das Team-Gef&uuml;hl zu beschreiben ist ein wenig problematisch, das erlebt man am bestem im direkten Umgang.

Abseits davon gibt es nat&uuml;rlich noch einige, deutlich &bdquo;greifbarere&ldquo;, Benefits, die wir nicht unterschlagen m&ouml;chten:
<ul>
<li>IT-Vollausstattung (Top-aktuell und privat nutzbar)</li>
<li>Gesch&auml;ftsfahrrad: ein top-aktuelles Fahrrad</li>
<li>Karrierechancen in Form von Weiterbildungen, Trainings, Seminaren &amp; Co. Wenn Du m&ouml;chtest, werden wir Dich nicht ausbremsen.</li>
<li>Kulinarische Vielfalt. Ein Obstkorb ist nat&uuml;rlich toll. Dar&uuml;ber hinaus haben wir nahezu alles an alkoholfreien Hei&szlig;- und Kalt-Getr&auml;nken, das man sich w&uuml;nschen kann&hellip;inklusive Slush-Eis-Maschine.</li>
<li>Work- / Life Balance: Eine eindeutige Home-Office Regelung gibt Dir die Freiheit, die Du brauchst.</li>
<li>Arbeit an innovativen Enterprise-AI-L&ouml;sungen</li>
<li>Hohe Eigenverantwortung</li>
<li>Moderne Entwicklungsumgbung</li>
<li>Entwicklungsm&ouml;glichkeiten im Bereich AI Engineering</li>
</ul>
</div><div><h2 class="jobSectionHeader">Das bringst Du idealerweise mit:</h2>
<ul><li>Fundierte Erfahrung in der Entwicklung mit Python sowie modernen API-Frameworks</li>
<li>Begeisterung f&uuml;r Large Language Models (LLMs), Generative AI und intelligente Automatisierungsl&ouml;sungen</li>
<li>Praxiserfahrung mit Frameworks wie LangChain, LangGraph oder Semantic Kernel</li>
<li>Verst&auml;ndnis moderner RAG-Architekturen sowie Erfahrung im Umgang mit Vector Databases</li>
<li>Erfahrung in der Entwicklung und Integration von REST APIs und externen Systemen</li>
<li>Strukturierte, analytische und l&ouml;sungsorientierte Arbeitsweise mit hoher Lernbereitschaft f&uuml;r neue Technologien</li>
<li>Ausgepr&auml;gte analytische F&auml;higkeiten und Interesse an innovativen AI-Use-Cases</li>
</ul>
Technologien
<ul>
<li>Python</li>
<li>FastAPI</li>
<li>OpenAI / Azure OpenAI</li>
<li>LangChain / Semantic Kernel</li>
<li>PostgreSQL / Redis</li>
<li>Vector Databases</li>
<li>Docker</li>
<li>Git</li>
</ul>
</div><div><h2 class="jobSectionHeader">Konnten wir Dein Interesse wecken?</h2>
Dann freuen wir uns auf Deine Bewerbung und hoffen Dich recht flott kennen zu lernen. 
 
F&uuml;lle einfach das Online-Formular aus oder sende uns Deine Unterlagen als .pdf Datei per E-Mail an talents@unique-projects.com.

Wir freuen uns auf Dich!</div></div>

AI Engineer / LLM Engineer (m/w/d)

d-Matrix

<div>At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
D-Matrix Frontier Group sits at the leading edge of what&rsquo;s possible with LLM inference on heterogeneous hardware. Our charter spans the full stack: from pathfinding emerging use cases and novel deployment patterns to deep optimization of inference kernels, to building proof-of-concept systems that showcase D-Matrix&rsquo;s unique computational fabric. We are an applied research and engineering team that moves fast, ships real systems, and works directly with product and hardware teams to shape the roadmap.
We build the tools, runtimes, and frameworks that let frontier AI models run efficiently and cost-effectively across heterogeneous deployments &mdash; combining D-Matrix silicon with CPUs, GPUs, and custom accelerators. Our work powers everything from benchmarking and evaluation pipelines to production-grade inference serving.
This Role
We are hiring end-to-end inference engineers who are comfortable going from a novel research idea to a deployed, optimized system. You will work at every layer of the inference stack &mdash; from kernel-level optimization to distributed orchestration to high-level serving APIs.
This role could be a great match for you if you:<ul><li>Have deep intuition for modern generative AI architectures and how to squeeze performance out of them at inference time.</li><li>Are familiar with the internals of open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and can extend or replace them when needed.</li><li>Enjoy pathfinding new use cases &mdash; exploring heterogeneous deployment topologies and building early-stage POCs that prove out new ideas.</li><li>Are results-oriented with a strong bias toward action; you own problems end-to-end from prototype to optimization to handoff.</li><li>Are energized by working at the intersection of novel hardware and frontier models, and want your work to directly influence how next-generation AI silicon is used.</li><li>Value clear communication and thrive in a small, high-ownership team environment.</li></ul>
Responsibilities<ul><li>Identify and prototype emerging LLM inference use cases suited to heterogeneous hardware deployments.</li><li>Build compelling proof-of-concept systems that demonstrate D-Matrix capabilities to customers, partners, and internal stakeholders.</li><li>Develop and tune custom kernels and operator-level optimizations to maximize throughput and minimize latency.</li><li>Drive quantization, sparsity, and batching strategies tailored to D-Matrix computational model.</li><li>Build and maintain inference runtimes, serving frameworks, and evaluation tooling.</li><li>Contribute to distributed inference systems: tensor/pipeline parallelism, disaggregated prefill/decode, KV-cache management.</li><li>Work closely with hardware architects to provide firmware and compiler teams with actionable inference workload insights.</li><li>Partner with product and business development to translate POCs into customer-facing demonstrations.</li><li>Contribute to technical publications, whitepapers, and open-source projects that advance D-Matrix visibility.</li></ul>
Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or a related field, and 10+ years of relevant engineering experience; or equivalent demonstrated experience.</li><li>Master&rsquo;s or PhD in Computer Science, Electrical Engineering, or a related field preferred, with 6+ years of relevant industry experience.</li><li>Strong proficiency in Python and C/C++.</li><li>Hands-on experience optimizing LLM inference &mdash; attention kernels, KV cache, batching strategies, quantization (INT8/FP8/INT4).</li><li>Experience with at least one major inference framework (vLLM, SGLang, TensorRT-LLM, ONNX Runtime, or similar) at a contributor level.</li><li>Familiarity with GPU kernel programming (CUDA/Triton) and performance profiling tools.</li></ul>
Preferred Qualifications<ul><li>Experience with heterogeneous compute deployments &mdash; scheduling inference workloads across dissimilar hardware (accelerators, CPUs, GPUs).</li><li>Familiarity with custom silicon or ASIC-based inference (beyond GPU-only environments).</li><li>Experience with distributed inference: tensor parallelism, pipeline parallelism, disaggregated serving.</li><li>Contributions to open-source inference or ML systems projects.</li><li>Experience with production inference serving at scale (latency SLOs, continuous batching, multi-model serving).</li><li>Familiarity with speculative decoding, mixture-of-experts routing, or long-context serving techniques.</li><li>Working familiarity with the material in the JAX Scaling Book or equivalent systems-level understanding of modern LLM training and inference.</li></ul>
Why D-Matrix Frontier Group<ul><li>Work on genuinely novel hardware &mdash; D-Matrix in-memory compute architecture opens up inference optimization problems that don&rsquo;t exist anywhere else.</li><li>End-to-end ownership from idea to deployed system, with a short feedback loop between your work and real hardware.</li><li>Small, senior team with high autonomy and direct influence on product direction.</li><li>Competitive compensation, equity, and benefits in Santa Clara, CA.</li></ul><div></div> 
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We&rsquo;re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Compensation Range: $195K - $285K</div>

Principal LLM Inference Engineer

Medtronic

<div>Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first &mdash; developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.
<h1 class="jobSectionHeader">A Day in the Life
</h1>Responsibilities may include the following and other duties may be assigned:
<ul><li>Develops, documents, and configures systems specifications that confirm to defined architecture standards, address business requirements, and processes.
</li><li>Involved in planning of system and development deployment as well as responsible for meeting hardware and software compliance and security standards.
</li><li>Evaluates interface between hardware and software, operational requirements and characteristics of overall system.
</li><li>Establishes and documents system design, parameters and formats, ensures hardware and software systems functionality, performance and compatibility, and coordinates and/or modifies system parameters in terms of configurations, such as existing and projected computer capacity and capabilities.
</li><li>Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
</li><li>May document testing and maintenance of system updates, modifications, and configurations.
</li><li>May act as a liaison with key technology vendor technologists or other business functions.
</li><li>Function Specific: Strategically design technology solutions that meets the needs and goals of the company and its customers/users.
</li><li>Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
</li><li>Gather and prioritize integration requirements.
</li><li>Test the quality of a product and its ability to perform a task or solve a problems.
</li><li>Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
</li><li>Technology: Using computational thinking to define technological solutions to real life problems.
</li><li>Design technology that allows for the optimal user experience and broad accessibility.
</li><li>Ability to document detailed technical system specifications based on business system requirements.
</li></ul>Required Knowledge and Experience:
<ul><li>Bachelor&rsquo;s degree in computer science, Engineering, or a related technical discipline with overall 7+ years.
</li><li>Minimum of 6&ndash;8 years of experience as a Platform Engineer, AIOps Engineer, AI/ML Operations Engineer, or Automation Engineer supporting enterprise platforms.
</li><li>Strong 3+ years of experience with LLM platforms, embeddings, vector &amp; graph databases, prompt management, and ingestion pipelines in production environments.
</li><li>Minimum of 2-3 years of experience with Git based repositories and CI/CD platforms, preferably GitLab or GitHub, for controlled deployments and versioning.
</li><li>Solid understanding of Linux (RHEL), automation scripting, platform security, monitoring, and enterprise governance practices.
</li><li>Knowledge of Identity and Access Management (IAM) and secrets management solutions such as CyberArk, HashiCorp Vault, or enterprise Secrets Managers. 
</li></ul>Physical Job Requirements
 
 
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
&zwnj;
Recruitment Fraud Alert
We are aware of phishing scams targeting job seekers. Please keep the following in mind: 
 
Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. 
 
Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. 
 
If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. 
 
If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at AskHR@medtronic.com .
&zwnj; 
<h1 class="jobSectionHeader">Benefits &amp; Compensation
</h1>Medtronic offers a competitive Salary and flexible Benefits Package
 
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. 
 
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).</div>

Senior IT Technologist - LLM Platform Engineer

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About Us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
 
 
 
 
 We are hiring
 
 
 
 
 LLM
 
 
 
 
 Serving Engineers
 
 
 
 
 at multiple levels to join our dynamic, collaborative team.
 
 
 
 
 This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
 
 
 
 
 This Role Involves The Following Activities:
 
 
 
 
 <ul>
 <li>
 Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
 </li>
 <li>
 Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
 </li>
 <li>
 Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
 </li>
 <li>
 Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
 </li>
 <li>
 Drive efficient serving through smart autoscaling, load balancing and routing.
 </li>
 <li>
 Engage with open-source serving communities to evolve the framework.
 
 
 
 </li>
 </ul>
 
 
 You Will Demonstrate The Following:
 
 
 
 
 <ul>
 <li>
 Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
 </li>
 <li>
 Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
 </li>
 <li>
 Strong experience in developing language models using PyTorch.
 </li>
 <li>
 Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
 </li>
 <li>
 Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
 </li>
 <li>
 Strong Python development skills for large-scale projects with passion for software engineering.
 </li>
 <li>
 Experience in analyzing, profiling, and optimizing deep learning workloads.
 </li>
 <li>
 Proactive learning about the latest inference optimization techniques.
 </li>
 <li>
 Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
 </li>
 <li>
 MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
 
 
 
 </li>
 </ul>
 
 
 Bonus Skills Include:
 
 
 
 
 <ul>
 <li>
 Open-source contribution to any GenAI package.
 </li>
 <li>
 Experience architecting and developing large-scale distributed systems.
 </li>
 <li>
 High-level kernel design experience (PyTorch, CUDA, Triton).
 </li>
 <li>
 Knowledge of  torch.compile or torchDynamo
 </li>
 <li>
 PhD in Computer Science, Computer Engineering or Machine Learning
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
 
 
 OR
 
 
 PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
 
 
 
 
 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 Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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).
 
 
 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>

LLM Serving Engineer (Cloud AI Engineering) - Riyadh, KSA

Arcus Search

<div>
 
 This is a contract role - Remote - Upto 30,000 AED/ month
 
 
 
 
 
 
 
 
 Senior LLM / AI Engineer &ndash; Agentic AI &amp; Platform Engineering
 
 
 
 
 
 
 Role Summary
 
 
 
 We are building an AI-powered enterprise platform that uses agentic AI to transform unstructured domain data into structured, actionable intelligence. As a Senior LLM / AI Engineer, you will design and build the core AI orchestration layer: multi-agent workflows, retrieval-augmented generation pipelines, tool-calling infrastructure, and the deterministic reasoning systems that make LLM outputs reliable enough for production use.
 
 
 
 
 
 This is not a research role. You will build production application services that real users depend on. You need to be equally strong in LLM engineering (prompting, structured outputs, evaluation) and software engineering (APIs, databases, deployment). We are looking for someone who can architect an agentic system from scratch, implement it in FastAPI, evaluate it rigorously, and operate it in production.
 
 
 
 
 
 
 Key Responsib
 
 ilities
 
 
 
 
 
 Agentic AI &amp; Multi-Agent Orches
 
 tration
 
 
 
 
 <ul>
 <li>
 Design and implement multi-agent systems where specialised agents collaborate on complex tasks: planning agents, execution agents, validation agents, and human-in-the-loop review steps
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Build agentic workflows using LangGraph, LangChain, or custom state machines with clear state management, conditional routing, retry logic, and graceful failure handling
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Implement tool-calling infrastructure: define tool schemas, manage tool registries, handle tool execution with timeouts and error recovery
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Design context management strategies for long-running agent sessions: conversation memory, working memory, context window optimisation, token budget management, and multi-turn state t
 
 racking
 
 </li>
 </ul>
 
 
 
 
 
 RAG &amp; Knowledge R
 
 etrieval
 
 
 
 
 <ul>
 <li>
 Build and optimise retrieval-augmented generation (RAG) pipelines: document chunking strategies, embedding model selection, vector store management (FAISS, Qdrant, pgvector, Pinecone), and hybrid search
 </li>
 <li>
 Implement advanced RAG patterns: multi-hop reasoning, reranking, query decomposition, self-querying retrieval, and citation grounding
 </li>
 <li>
 Design and maintain knowledge indexing pipelines that ingest, transform, and index domain-specific data
 
 at scale
 
 </li>
 </ul>
 
 
 
 
 
 Deterministic Workflows &amp; Structur
 
 ed Output
 
 <ul>
 <li>
 Design deterministic workflows that guarantee consistent, reliable outputsfrom LLMs
 </li>
 <li>
 Implement comprehensive input/output validation using Pydantic models, JSON Schema constraints, and structured output parsing
 </li>
 <li>
 Build hybrid pipelines combining deterministic business logic with LLM-powered
 
 reasoning
 
 </li>
 </ul>
 
 
 
 
 
 Evaluation, Testing &amp; Op
 
 timisation
 
 <ul>
 <li>
 Build evaluation frameworks for LLM-powered features: automated test suites, regression benchmarks, and continuous production monitoring
 </li>
 <li>
 Implement token optimisation strategies: prompt compression, caching, response streaming, batching, and model selection
 </li>
 <li>
 Design A/B testing infrastructure for prompt variants, model versions, and pipeline conf
 
 igurations
 
 </li>
 </ul>
 
 
 
 
 
 Platform &amp; Application
 
 Development
 
 <ul>
 <li>
 Build production APIs using FastAPI: endpoint design, async handlers, WebSocket/SSE for streaming responses, and graceful degradation
 </li>
 <li>
 Design and implement MCP (Model Context Protocol) server setups for standardised tool integration
 </li>
 <li>
 Work with PostgreSQL, Redis, and Elasticsearch for application state, caching, and search
 </li>
 <li>
 Containerise AI services with Docker and collaborate with DevOps on Kubernetes deployment
 </li>
 </ul>
 
 and scaling
 
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 4+ years of software engineering experience, with at least 2 years focused on LLM-powered application developmentin production
 </li>
 <li>
 Strong proficiency in Python; experience with FastAPI or similar async frameworks required
 </li>
 <li>
 Deep hands-on experience with agentic AI frameworks: LangGraph, LangChain, or custom agent architectures
 </li>
 <li>
 Proven experience building RAG systems: embedding pipelines, vector databases, retrieval strategies, and multi-hop reasoning
 </li>
 <li>
 Strong understanding of LLM fundamentals: prompting, structured output, token management, and model selection trade-offs
 </li>
 <li>
 Working knowledge of PostgreSQL, Redis, and at least one vector database
 </li>
 <li>
 Experience with evaluation and testing of LLM outputs in production environments
 </li>
 <li>
 Solid understanding of REST APIs, WebSockets, and API lifecycle management
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience with MCP architecture: building MCP servers and integrating external systems
 </li>
 </ul>
 
 as agent tools
 
 <ul>
 <li>
 Familiarity with parameter-efficient fine-tuning methods (LoRA, QLoRA)
 </li>
 <li>
 Experience building multi-tenant AI applications with organisation-
 </li>
 <li>
 level isolation
 </li>
 <li>
 LLM observability experience: tracing, token usage tracking, latency profiling
 </li>
 <li>
 Familiarity with Elasticsearch and hybrid search(BM25 + vector)
 </li>
 <li>
 Cloud deployment experience (AWS preferred): EKS,S3, SQS, Lambda
 </li>
 <li>
 Contributions to open-source AI/LLM projects or published work in NLP or agentic AI
 </li>
 </ul>
</div>

Senior AI Engineer

D4 Insight

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are looking for AI Engineer specializing in Conversational AI, Virtual Assistants, and LLM-powered customer engagement solutions. The role involves building intelligent, context-aware conversational systems for banking environments.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Design chatbot and virtual assistant experiences.</li>
<li>Build conversational workflows and dialogue management systems.</li>
<li>Integrate APIs and backend services.</li>
<li>Develop prompt libraries and response strategies.</li>
<li>Implement LLM evaluation, monitoring, and safety controls.</li>
<li>Ensure regulatory compliance and response quality.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>LLMs &amp; Conversational AI</li>
<li>Prompt Engineering</li>
<li>API Integration</li>
<li>Agentic AI Frameworks</li>
<li>Evaluation &amp; Guardrails</li>
<li>Python</li>
</ul>
 Apply Now: [email protected]</div>

AI Engineer – Conversational AI

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