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ai engineer

Five Nodes AI

AI EngineerAbout the Role:We are seeking a motivated AI Engineer to join our growing team. This is an excellent opportunity for early-career professionals passionate about artificial intelligence to work on cutting-edge projects that deliver real business value. You'll be developing AI solutions and custom AI applications that solve complex problems for our clients.Key Responsibilities:<ul><li>Design, develop, and deploy AI-powered applications / solutions.</li></ul><ul><li>Build custom workflows that integrate various APIs, services, and data sources.</li></ul><ul><li>Develop tailored AI solutions that address specific client needs and business challenges.</li></ul><ul><li>Write clean, maintainable, and scalable Python code for AI applications.</li></ul><ul><li>Collaborate with cross-functional teams to understand requirements and deliver effective solutions.</li></ul><ul><li>Test, debug, and optimize solutions &amp; AI models for performance and reliability.</li></ul><ul><li>Document technical solutions, workflows, and best practices.</li></ul><ul><li>Stay current with emerging AI technologies, tools, and automation trends.</li></ul>Required Qualifications:<ul><li>Bachelor's degree in Artificial Intelligence, Computer Science, Computer Engineering, Software Engineering, or related field (Fresh Graduates are welcome).</li></ul><ul><li>Strong proficiency in Python.</li></ul><ul><li>Solid ability to build software architecture to perform specific tasks.</li></ul><ul><li>Excellent communication skills with ability to explain technical concepts clearly.</li></ul><ul><li>Strong problem-solving abilities and attention to detail.</li></ul><ul><li>Fluency in English, Arabic is (a plus).</li></ul><ul><li>Proficiency in JavaScript (is a plus).</li></ul><ul><li>Experience building and deploying automations with Python code in local environments (is a plus)</li></ul><ul><li>Familiarity with API integration and webhook implementations (is a plus)</li></ul><ul><li>Knowledge of machine learning frameworks and libraries (is a plus)</li></ul><ul><li>Experience with cloud platforms (AWS, Azure, or Google Cloud) (is a plus)</li></ul><ul><li>Experience developing custom tailored solutions for specific use cases. (is a plus)</li></ul>Work Arrangement:<ul><li>Remote until Q3 of 2026.</li></ul><ul><li>On-site after the initial remote period</li></ul>What We Offer:<ul><li>Opportunity to work on diverse AI projects &amp; custom solutions.</li></ul><ul><li>Professional development and learning opportunities.</li></ul><ul><li>Collaborative and innovative work environment</li></ul><ul><li>Chance to grow your career in the rapidly evolving AI field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Explain in details one AI solution that you have worked on/implemented previously:</li><li>In your own words, explain what is Agentic AI (Answers that are generated using AI will NOT be considered):</li><li>Have you implemented AI solutions Locally or via APIs? Kindly write a short brief if so:</li><li>Please add your LinkedIn Profile URL, and if you have a portfolio/Git, feel free to add it. </li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI: 1 year (Required)</li><li>LLM: 2 years (Preferred)</li></ul>Language:<ul><li>English (Required)</li><li>Arabic (Required)</li></ul>Location:<ul><li>Ras al-Khaimah (Preferred)</li></ul>

AI Engineer

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.
The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank&rsquo;s digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.
As the AI Engineer with Deeplight, your responsibilities will include:<ul><li>
Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.</li><li>
Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.</li><li>
Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.</li><li>
Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.</li><li>
Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.</li><li>
Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.</li><li>
Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
What we need from you:<ul><li><ul><li>
Bachelor&rsquo;s degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.</li><li>
Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).</li><li>
Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI)</li><li>
Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.</li><li>
Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).</li><li>
Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).</li><li>
Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).</li><li>
Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.</li></ul></li></ul> 
It would also be beneficial if you have experience of the following:<ul><li>
Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.</li><li>
Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.</li><li>
Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.</li><li>
Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</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>

Printerpix

<div><div>Printerpix is a fast-growing e-commerce brand making waves in the online photo printing and personalised gifting sector. Our team is growing rapidly as we expand into new marketing channels and new markets, and we need you to help us achieve our goals. This is your opportunity to join a fast-paced organisation that&rsquo;ll give you the chance to take on responsibility and progress your career quickly. 
</div><div>
At Printerpix, we&rsquo;re there for the milestones and the everyday. From a blanket printed with your family photos, to a photobook full of your greatest moments, bringing joy is what we do best. 
</div><div>
The Role: 
We&rsquo;re looking for a self-starting AI Engineer to join our Dubai team and build the intelligent systems that power our marketing. You&rsquo;ll architect agentic workflows that automate digital marketing across paid search, organic search, email, social media, and affiliate channels, driving measurable e-commerce growth across 9 international markets. This isn&rsquo;t a role where you wait for a ticket. You&rsquo;ll work alongside a small, fast-moving AI team that spots opportunities, prototypes solutions, and ships them. 
</div><div>
What You'll Do:</div><ul><li>
Design and build AI-powered workflows that automate marketing operations across paid search, SEO, email, social, and affiliate channels.</li><li>
Develop multi-agent systems and copilots for campaign planning, content generation, data analysis, and performance optimisation.</li><li>
Integrate AI systems with marketing platforms (Google Ads, Klaviyo, Meta, Search Console) via APIs for real-time data flow and automated decision-making.</li><li>
Build and maintain RAG pipelines connecting AI agents to company knowledge, product catalogues, and performance data.</li><li>
Collaborate with London team to identify and deliver high-impact automation.</li></ul><div>
</div><div>
What We're Looking For:</div><ul><li>
Experience with agentic AI frameworks (CrewAI, LangChain, LangGraph, or similar), you&rsquo;ve designed agents, defined tools, and built multi-step workflows.</li><li>
Hands-on experience building RAG pipelines including embedding models, chunking strategies, and vector databases (Pinecone, Chroma, FAISS).</li><li>
Strong Python skills, you write production code, not just notebook experiments.</li><li>
Experience with LLM APIs (OpenAI, Claude, Gemini, Mistral) including prompt engineering and structured output parsing.</li><li>
Ability to build API integrations and event-driven pipelines connecting marketing platforms and business systems.</li><li>
Understanding of digital marketing channels: Paid Search (Google Ads), SEO, Email Marketing, Social Media, and Affiliate.</li><li>
Self-starter mentality, you identify problems and build solutions without being asked. Show us what you&rsquo;ve built that nobody asked you to build.</li></ul><div>
 
Nice to have: MCP (Model Context Protocol), AI-assisted dev tools (Claude Code, Cursor, Copilot), Docker/CI/CD, e-commerce operations, or marketing platform API experience (Google Ads, Klaviyo, Meta, GA4). 
</div><div>
What You Get:</div><ul><li>
Modern tech stack, Claude Code, Cursor, CrewAI, LangChain, and the latest AI models.</li><li>
Small, high-output team where your ideas ship fast and your contributions are visible from day one.</li><li>
Real impact, AI you build directly drives marketing performance and revenue across 9 markets.</li><li>
Career growth, mentorship, and the opportunity to lead AI initiatives in a multinational enterprise.</li></ul><div>
 
APPLY NOW &mdash; BUILD THE AI THAT POWERS GLOBAL MARKETING 
 
Ahead of your interview, please be prepared to walk us through an AI project you&rsquo;ve built end-to-end, your architecture decisions, and something you built because you saw the opportunity, not because you were asked to.\</div></div>

AI Engineer (Marketing)

ICEYE

<div>Role highlights: 
<ul><li>
Role: Forward Deployed AI Engineer</li><li>
Department: Forward Deployed Engineering</li><li>
Location: Finland, Sweden, Netherlands, Poland, UAE, Germany, (Must be based in-country)</li><li>
Reports to: VP, Forward Deployed Engineering</li><li>
Working type: Hybrid (On-site at customer locations approx. 50% of time)</li><li>
Must be eligible and able to attain relevant national and NATO security clearances at the highest level.</li></ul>
The Mission of the Forward Deployed AI Engineer
In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You&rsquo;ll deploy ICEYE&rsquo;s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it&mdash;everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
Who are we?
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy &ndash; day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation
Day to day responsibilities:
Platform Deployment &amp; Integration<ul><li>
Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).</li><li>
Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.</li><li>
Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.</li><li>
Troubleshoot deployment issues in disconnected environments without external internet access.</li></ul> 
AI Solution Development &amp; Customization<ul><li>
Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.</li><li>
Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.</li><li>
Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.</li><li>
Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.</li></ul>
Data Fusion &amp; Intelligence Workflows<ul><li>
Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).</li><li>
Develop automated workflows that correlate and cross-reference information across different data modalities.</li><li>
Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.</li></ul>
Customer Engagement &amp; Rapid Prototyping<ul><li>
Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.</li><li>
Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.</li><li>
Conduct hands-on training sessions on platform capabilities and AI workflow usage.</li><li>
Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.</li></ul> 

Requirements 
Must have skills:<ul><li>
3+ years hands-on software engineering building and deploying production systems.
</li><li>Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
</li><li>Hands-on experience with LLMs, prompt engineering, and RAG systems.
</li><li>Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
</li><li>Experience with Docker and deploying in secure / isolated / air-gapped environments.
</li><li>Practical experience with APIs, data pipelines, and integrating systems in production,</li><li>
Familiarity with Linux and basic Kubernetes operations.
</li><li>Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.</li><li>
Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
</li><li>Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
</li>Willingness to travel 40&ndash;60% to customer sites within the region. 
<li>
 
</li></ul>Nice to have skills:<ul><li>
Experience in defense, intelligence, or government operational environments.
</li><li>Deploying to on-prem data centers and/or air-gapped networks.
</li><li>Familiarity with geospatial data, satellite imagery, or remote sensing.
</li><li>Experience with MCP integrations, multi-agent systems, or agentic workflows.
</li><li>Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
</li><li>Understanding of intelligence analysis workflows and defense/government requirements.
</li><li>Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
</li><li>Background in solution engineering, technical consulting, or customer success.
</li><li>Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).</li></ul>
Application process<ul><li>
Talent Acquisition Interview</li><li>
Hiring Manager Interview</li><li>
Technical Interview (onsite or virtual), including a Technical Challenge</li><li>
Hiring Team Interview</li><li>
Offer Decision</li></ul> 

Benefits 
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.<ul><li>
Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the &ldquo;why&rdquo; behind decisions.</li><li>
See the big picture: Stay close to what&rsquo;s happening across the company so you can make better decisions. Consider how your work affects others.</li><li>
Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.</li><li>
Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.</li><li>
Have fun: What we do matters&mdash;and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.</li></ul> 
Benefits:
Our benefits are designed to support your health and wellbeing&mdash;at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our commitment to Diversity, Equity and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We&rsquo;re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us&mdash;we&rsquo;ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com</div>

Forward Deployed AI Engineer

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li><li>
Managing a cross functional team (pod) made of middleware (JS), foundation (C++), QA and documentation engineers to produce high quality deliverables</li><li>
Regularly assessing, both qualitatively and quantitatively, our position in the market with regards to similar products or platforms</li><li>
Leveraging the expertise of technical architects to ensure robust architectural choices and code quality</li><li>
Ensuring stable releases by following precise internal release processes</li></ul><ul><li>
Excellent programming skills C++</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion Models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
Has experience managing a small, specialized, cross functional team (pod) of 3-5 people</li><li>
Has a genuine passion for building good products that improve people's lives</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have extensive experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Lead AI Inference Engineer (100% Remote)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll lead a cross-functional pod that spans the full stack, from C++ inference engines to JavaScript applications. Your responsibility is to ensure that local AI capabilities ship reliably and perform well across devices. You'll balance hands-on technical work with team coordination, guiding foundation and middleware engineers toward shared goals.
This role is ideal for someone who understands both the low-level challenges of edge AI and the product-facing needs of app developers, and wants to drive the delivery of cohesive, production-ready local AI systems.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li><li>
Managing a cross functional team (pod) made of middleware (JS), foundation (C++), QA and documentation engineers to produce high quality deliverables</li><li>
Regularly assessing, both qualitatively and quantitatively, our position in the market with regards to similar products or platforms</li><li>
Leveraging the expertise of technical architects to ensure robust architectural choices and code quality</li><li>
Ensuring stable releases by following precise internal release processes</li></ul><ul><li>
Excellent programming skills C++</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion Models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
Has experience managing a small, specialized, cross functional team (pod) of 3-5 people</li><li>
Has a genuine passion for building good products that improve people's lives</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have extensive experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Lead AI Inference Engineer QVAC (100% remote Worldwide)

<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.
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul><li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li><li>
GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li><li>
Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li><li>
Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li><li>
DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li><li>
Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li><li>
Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
The key requirements for this role are:<ul><li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li><li>
Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li><li>
Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li><li>
Advanced coding skills in Python and JavaScript/TypeScript.</li><li>
Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li></ul>
You should also have the following:<ul><li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li><li>
A minimum of 5+ years in professional software development.</li><li>
Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li><li>
Advanced knowledge of banking operations, terminologies, and financial services products.</li></ul>
It would be preferable if you also have:<ul><li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li><li>
Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li><li>
The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li><li>
The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</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>

Backend Engineer

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Lead AI Inference Engineer QVAC (100% remote Worldwide)

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