ai systems engineer

Noon - Education for Everyone

<div>
 
 
 About Noon Academy:
 
 
 
 
 
 
 We&rsquo;re on a mission to radically change the way students learn. We
 
 
 started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you. We believe in solving hard problems, and we play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
 
 
 
 
 
 
 Today, we&rsquo;re building the next generation of schools in Saudi Arabia.
 
 We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity.
 
 The verdict is clear: students don't just tolerate hybrid, they love it.
 
 
 
 
 
 
 We&rsquo;re aiming for an IPO, and the product you&rsquo;ll build is core to getting us there. The scale is real. We expanded to 28 schools in our second year of operations, and we're expanding to 100+ schools around the Kingdom in the near future.
 
 <ul>
 <li>
 Hear about our vision directly from our CEO
 
 
 here
 
 
 .
 </li>
 <li>
 Learn more about us:
 
 here
 
 </li>
 </ul>
 
 
 
 
 
 Why This Role Matters?
 
 
 
 
 Running great schools at scale is an unsolved problem.
 
 Timetables, staffing, student success, operational workflows, quality loops. It's a web of complexity that no off-the-shelf software can handle. So we're building our own.
 
 
 We call it the
 
 Ops OS
 
 &mdash; an intelligent, event-driven system that makes schools work and scale. Think of it as the nervous system of a school network: routing the right information to the right person at the right time. We're looking for
 
 AI Systems Engineers
 
 who want to build things that matter
 
 
 
 
 
 
 Role Summary
 
 
 
 This isn't a typical AI/ML role. You won't be training models in isolation or writing research papers. You'll be embedded in the real world. Talking to students, school staff and internal leaders. You&rsquo;ll be understanding messy operational problems, and shipping working systems that people rely on every single day.
 
 
 You'll use AI as a power tool alongside strong product engineering skills to build internal apps, data pipelines, dashboards, and intelligent workflows.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 
 Investigate real problems
 
 &mdash; sit with ops teams and school leads to deeply understand what's broken before writing a line of code.
 </li>
 <li>
 
 Build fast
 
 &mdash; go from messy problem &rarr; spec &rarr; working prototype in days, not months. We use Claude Code, Cursor, Replit, and every AI tool that makes us faster.
 </li>
 <li>
 
 Ship products, not scripts
 
 &mdash; build real, production-quality tools with great UX (React/TypeScript, Supabase, APIs). Our users are internal Nooners, students, teachers, and school staff. Each user deserves thoughtful designs!
 </li>
 <li>
 
 Design systems that compound
 
 &mdash; think in loops, not features. Data &rarr; insight &rarr; action &rarr; feedback &rarr; better data.
 </li>
 <li>
 
 Own your domain end-to-end
 
 &mdash; from problem discovery to adoption. If nobody uses it, we haven't succeeded.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 You think before you build. You can explain a problem to a non-technical person in 30 seconds.
 </li>
 <li>
 You're fast. Ruthlessly good at scoping: 80% of the impact with 20% of the effort.
 </li>
 <li>
 You're strong in
 
 data &amp; SQL
 
 ,
 
 AI/LLMs
 
 , and
 
 product engineering.
 
 </li>
 <li>
 You&rsquo;re eager to learn and adopt new tools and ways of working.
 </li>
 <li>
 You build things that work, not things that look impressive on a slide.
 </li>
 <li>
 You communicate clearly &mdash; in writing, in demos, in Slack. No jargon.
 </li>
 <li>
 You don't wait to be told. You find the problem, propose the solution, and drive it.
 </li>
 <li>
 Fluent in Arabic and English
 </li>
 <li>
 Based in Riyadh (or able to relocate by an agreed date)
 </li>
 </ul>
 
 
 
 
 
 Bonus Points
 
 
 <ul>
 <li>
 Experience with event-driven architectures or operational systems.
 </li>
 <li>
 You've built internal tools or ops platforms before.
 </li>
 <li>
 You've used AI coding tools (Cursor, Copilot, Claude) to move 5x faster and ship real products.
 </li>
 </ul>
 
 
 
 
 
 Why Noon?
 
 
 <ul>
 <li>
 
 Real impact
 
 &mdash; your work directly affects how thousands of students learn every day.
 </li>
 <li>
 
 Speed and autonomy
 
 &mdash; small team, big problems, zero bureaucracy.
 </li>
 <li>
 
 AI-native culture
 
 &mdash; we don't just talk about AI, we build with it daily.
 </li>
 <li>
 
 Well-funded
 
 &mdash; Series B closed, substantial recurring revenue, and accelerating.
 </li>
 <li>
 
 Mission that matters
 
 &mdash; every student deserves world-class teachers. We're making it happen.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 In addition to a competitive base salary, we offer:
 
 <ul>
 <li>
 Employee Stock Ownership Plan (ESOP)
 </li>
 <li>
 Performance-based bonus
 </li>
 <li>
 21 days of annual leave
 </li>
 <li>
 Full premium Medical coverage, including Family Dependent
 </li>
 </ul>
 
 
 
 
 If you're a builder who wants to solve hard problems in education and create something students talk about for years to come, we would love to talk to you.
 
</div>

AI Systems Engineer

Hayden Industrial

<div>Overview: 
Hayden Industrial, a leading manufacturer of industrial cooling systems, is seeking an experienced AI Engineer/AI Developer to join our team. This role will work directly alongside the AI &amp; Digital Innovation Lead to develop practical AI solutions that with our custom ERP and manufacturing workflows. 


Key Responsibilities:
<ul><li> Collaborate directly with the AI &amp; Digital Innovation lead on AI and software initiatives
</li></ul><ul><li> Develop and maintain AI-powered internal applications and services</li></ul>
<ul><li> Build APIs, backend services, and integrations that support AI workflows</li></ul>
<ul><li> Assist in developing projects involving:
</li></ul>o Retrieval-Augmented Generation (RAG)

o AI agents and workflow automation

o Intelligent document processing

o ERP data integrations

o AI-assisted reporting and operations dashboards

o OCR and invoice/receiver matching systems

o Internal AI assistants and knowledge systems
<ul><li> Help organize, structure, and optimize operation data for AI usage</li></ul>
<ul><li> Assist with improving and automating business processes using AI Technologies</li></ul> 


Education and Experience:
<ul><li> Bachelor&rsquo;s degree required; Master&rsquo;s degree preferred in Artificial Intelligence, machine learning, Computer Science, Software Engineering, or related technical field, or equivalent practical experience
</li></ul><ul><li> Some professional, academic, or project-based experience building AI/ML or intelligent software systems</li></ul>
<ul><li> Strong programming experience with Python and backend development concepts</li></ul>
<ul><li> Familiarity with modern AI concepts such as:</li></ul>

o LLMs

o RAG systems

o Embedding/vector search

o AI Workflow automation
<ul><li> Strong problem-solving skills and willingness to learn new technologies
</li></ul><ul><li> Ability to work collaboratively in a fast-moving development environment</li></ul> 


Preferred
<ul><li> Experience with AI framework or tools such as:</li></ul>

o Ollama

o LangChain

o OpenAI APIs

o FastAPI

o Pytorch or TensorFlow
<ul><li> Familiarity with Linux, Docker, or GPU-based systems</li></ul>
<ul><li> Experience with SQL databases and API development</li></ul>
<ul><li> Exposure to ERP systems, manufacturing systems, automation, or operational software is a plus.</li></ul> 


Supervisor Responsibility: 
This position has no supervisory responsibilities. 


Work Environment: 
This job primarily operates in a professional office environment. This role uses standard office equipment. When in the manufacturing facility, all employees are required to wear personal protective equipment to include/hearing protection, and safety glasses with side shields, and OSHA compliant safety boots/shoes. 

Physical Demands: 
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing duties of this job, the person in this position might remain stationary for long periods of time, while operating a computer and other office machinery. This position needs to occasionally move about inside the office to access filing cabinets and operate office machinery.

The employee might occasionally lift or move objects up to 25 pounds.

On occasion, the employee may be required to visit the shop that is a non-temperature-controlled environment with loud noises, dust, dirt, and metal particles that are usually associated with metal fabrication shops. 


Position Type/Expected Hours of Work: 
This is a full-time position. Days and hours of work are Monday through Friday, 7:00 a.m. to 4:00 p.m. 


Travel: 
Travel is not required for this position. 


Benefits: 
Hayden Industrial offers a generous benefits package including comprehensive health, dental, vision, 401(k) retirement plan with company match, a generous paid time off schedule, and professional development opportunities. 


AAP/EEO Statement: 
Hayden Industrial is an equal employment opportunity employer. Hayden Industrial recognizes and embraces federal legislation on equal employment opportunity and is committed to providing a workplace free of discrimination. All applicants for employment and all employees will be afforded equal opportunity and treatment, regardless of age, race, religion, gender, national origin, disability status or other protected status.

All employees are responsible for complying with all applicable Federal, State and Local Laws, rules and regulations regarding non-discrimination practices.</div>

zooplus

<div>Company Description 
With over 25 years&rsquo; experience, plus the same enormous passion and ambition we had on day-one, we&rsquo;re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier &ndash; and that&rsquo;s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That&rsquo;s the power of plus. 
Job Description 
We are looking for an experienced Lead AI Systems Engineer to lead the design, implementation, and governance of enterprise AI platforms across our organisation.
In this role, you will own the end-to-end engineering lifecycle of enterprise AI technologies&mdash;including Microsoft Copilot, Google Gemini, Microsoft Power Platform, and Workato&mdash;ensuring they are secure, scalable, and aligned with enterprise architecture, security standards, and regulatory requirements.
Working at the intersection of Engineering, Security, Architecture, Data, and Business teams, you will help shape our enterprise AI strategy while enabling responsible AI adoption through modern automation and AI technologies. This is an opportunity to influence how AI is deployed across the organisation and deliver solutions that improve productivity, collaboration, and business outcomes.
What You'll Do
As our Lead AI Systems Engineer, you'll lead the engineering, deployment, and continuous improvement of enterprise AI platforms. You'll design secure and scalable AI solutions, build integrations between enterprise systems, and establish governance standards that support responsible AI adoption.
Working closely with Security, Architecture, Legal, Privacy, Data, and Business teams, you'll ensure AI platforms comply with organisational policies and regulatory requirements while delivering measurable business value. You'll also mentor engineers, establish technical standards, evaluate emerging AI technologies, and contribute to the organisation's long-term AI roadmap.
What Will Make You Successful
You'll thrive in this role if you enjoy solving complex technical challenges and translating business needs into scalable AI solutions. You'll be comfortable working across multiple disciplines, influencing stakeholders, and balancing innovation with governance and security.
We're looking for someone who is:<ul><li>
Strategic and forward-thinking, with the ability to shape enterprise AI adoption.</li><li>
A collaborative leader who enjoys mentoring others and establishing engineering best practices.</li><li>
An excellent communicator, capable of explaining complex technical concepts to a wide range of audiences.</li><li>
Passionate about continuous learning and keeping pace with the rapidly evolving AI landscape.</li><li>
Comfortable working in cross-functional, matrixed environments with Engineering, Security, Legal, Privacy, Data, and Business teams.</li><li>
Accountable, proactive, and committed to delivering secure, high-quality enterprise solutions.</li></ul>
Our Technology Stack: Our AI ecosystem includes technologies such as:<ul><li>
Microsoft Copilot &amp; Copilot Studio</li><li>
Google Gemini &amp; Vertex AI</li><li>
Microsoft Power Platform (Power Automate, Power Apps, Power BI)</li><li>
Workato</li><li>
Azure (preferred), AWS, and Google Cloud Platform</li><li>
REST APIs &amp; Enterprise Integration</li><li>
Python, PowerShell, JavaScript / TypeScript, and C#</li><li>
Docker, Kubernetes &amp; CI/CD</li><li>
AI Security, Identity &amp; Access Management, and Data Governance</li></ul> 

Qualifications 
Required Experience:<ul><li>
7+ years' experience in Platform Engineering, Cloud Engineering, Systems Engineering, Software Engineering, or a related technical discipline.</li><li>
At least 3 years' experience implementing or supporting enterprise AI, automation, or productivity platforms.</li><li>
Hands-on experience with at least two of the following:<ul><li>
Microsoft Copilot (M365 or Copilot Studio)</li><li>
Google Gemini</li><li>
Microsoft Power Platform</li><li>
Workato</li></ul></li><li>
Experience designing secure enterprise solutions using Identity and Access Management (IAM) principles.</li><li>
Strong experience integrating enterprise applications using APIs, web services, and automation technologies.</li><li>
Knowledge of Azure, AWS, or Google Cloud Platform.</li><li>
Experience implementing enterprise security controls such as OAuth, RBAC, Conditional Access, and Data Loss Prevention (DLP).</li><li>
Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.</li><li>
Fluent English.</li></ul>
Desirable Experience
Experience in one or more of the following would be advantageous:<ul><li>
Azure AI Foundry or Google Vertex AI</li><li>
Microsoft Power Apps, Power BI, Dataverse, or AI Builder</li><li>
Infrastructure as Code (Terraform or Bicep)</li><li>
Docker, Kubernetes, CI/CD pipelines, or DevOps practices</li><li>
Python, PowerShell, C#, JavaScript, or TypeScript</li><li>
Prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, or agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI)</li><li>
Enterprise integration platforms or iPaaS technologies</li><li>
AI platform governance, observability, and operational monitoring</li><li>
Experience working within regulated industries or government environments</li><li>
Knowledge of compliance frameworks such as GDPR, the EU AI Act, DORA, ISO 27001, FedRAMP, or CMMC</li><li>
Experience leading technical teams or mentoring engineers</li><li>
A degree in Computer Science, Information Systems, Artificial Intelligence, or a related discipline (or equivalent practical experience)</li><li>
German language skills</li></ul>
Why Join Us?
This is an opportunity to help define the future of enterprise AI within a global organisation. You'll work with cutting-edge technologies, influence strategic technical decisions, and play a key role in enabling secure, responsible AI adoption at scale.
You'll collaborate with experienced engineering and business teams, solve meaningful technical challenges, and help shape the next generation of AI-powered ways of working. 
Additional Information 
Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you&rsquo;ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you&rsquo;ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There&rsquo;s an option to work for 20 days abroad in approved countries too.
Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you&rsquo;ll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.
A note on compensation: We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact. Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.
At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.
#LI-Hybrid</div>

Lead AI Systems Engineer (All Genders)

C-4 Analytics

<div>AI Business Systems Engineer - REMOTE &ndash; C-4 Analytics
C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for an AI Business Systems Engineer, REMOTE to serve as a cross-functional builder and thought partner for applying AI across the company.
This is a business-first role for someone who deeply understands how organizations operate, can identify high-leverage opportunities for automation and intelligence, and has the technical fluency to design and implement solutions end-to-end.
The ideal candidate combines strong business judgment, an engineering mindset, and an expert-level understanding of modern AI capabilities.
If you are unable to complete the application due to a disability, contact us to ask for accommodation or an alternative application process.
The Gig: Your Mission<ul><li>
The AI Visionary: Be the go-to expert applying AI across Sales, Marketing, Ops, Finance, and beyond.</li><li>
The Workflow Wizard: Map processes, spot bottlenecks, and eliminate manual effort with brilliant AI solutions.</li><li>
The Systems Architect: Proactively propose and translate ambiguous business needs into structured, end-to-end system designs.</li><li>
The Hands-On Builder: Design and execute game-changing, AI-powered workflows using modern automation tools and APIs.</li></ul>
A Day in the Life:<ul><li>
Build smarter solutions: Apply AI for decision support, content generation, classification, and data enrichment.</li><li>
Integrate systems: Ensure internal systems (CRM, data platforms, cloud tools) are seamlessly connected.</li><li>
Own the solution: Take projects from lightbulb moment to production, ensuring reliability and business relevance.</li><li>
Stay current: Serve as the internal expert on the latest AI models and tooling.</li></ul>
What You Need to Succeed: The Rare Trifecta
This role requires a combination of all three:<ul><li>
Business Process Strength: Strong intuition for how a fast-paced organization operates, comfort with senior leaders, and clear communication on goals and tradeoffs.</li><li>
Engineering Mindset: Thinks in systems (inputs/outputs/failure modes), is fluent in APIs and data structures, and drives relentlessly for reliability and scalability.</li><li>
AI Expertise: Deep, hands-on understanding of modern AI models, knowing exactly where AI adds maximum leverage, and experience shipping AI into production workflows.</li></ul>
Core Background
We are looking for hands-on experience in real, imperfect operating environments.<ul><li>
Experience: Typically 4+ years of professional experience owning systems end-to-end. Demonstrated history of shipping solutions that other teams rely on daily.</li><li>
We Value: Consulting roles with implementation responsibility, internal tools/business systems teams, and experience in startup/scale-up environments.</li><li>
We Are Not Seeking: Pure ML research profiles, AI &quot;evangelists&quot; without execution depth, or product managers who do not build/implement.</li></ul>
Hard Qualifiers (Non-Negotiable)<ul><li>
Experience building cross-functional business systems, not isolated tools.</li><li>
Ability to go from whiteboard concept to live, production workflow.</li><li>
Focus on business impact and ROI, not novelty for its own sake.</li><li>
Comfort pushing back on weak ideas, even with senior stakeholders.</li></ul>
Soft Qualifiers (Equally Important)<ul><li>
Low ego and high ownership.</li><li>
Impatience with unnecessary process and wasted effort.</li><li>
Calm, structured thinking in ambiguous situations.</li><li>
Practical decision-making over &quot;perfect&quot; architecture.</li></ul>
Specific Skills &amp; Expertise<ul><li>
Must-Have: Proven track record in building cross-functional systems, strong familiarity with AI models, experience with automation platforms and APIs, and excellent communication.</li><li>
Nice-to-Have: Background in operations/consulting, experience with CRMs/data platforms, light scripting (Python/JavaScript).</li></ul>
What This Role Is NOT:<ul><li>
Not a research or theory role&mdash;this is about building.</li><li>
Not a departmental analyst&mdash;this is cross-functional.</li><li>
Not a pure software engineering role&mdash;this is business-driven systems building.</li></ul>
Salary: $100,000 to $130,000 USD per year (competitive and negotiable). Benefits: Health insurance, retirement plans, professional development, and unlimited paid time off!
Check out our careers and culture page for more details.
Note: Understanding the Different Between AI Automation Specialist and AI Business Systems
AI Automation Specialist = Execution-focused operator 
Builds, maintains, and scales AI-driven automations that make teams faster and processes cheaper today.
AI Business Systems Engineer = Systems architect &amp; integrator 
Designs durable, governed AI systems that become part of C-4&rsquo;s core business infrastructure.
&ldquo;The Automation Specialist makes us faster this quarter. 
The Business Systems Engineer makes sure we don&rsquo;t regret it next year.&rdquo;<div></div><div><div><div><div> 
AI Automation Specialist 
AI Business Systems Engineer</div><div> 
Owns workflow-level execution 
Owns system-level design</div><div> 
Delivers fast, reliable automations 
Optimizes services over time</div><div> 
Heavy on shipping &amp; iteration 
Heavy on mapping &amp; judgment</div><div> 
Thinks in concrete task chains 
Thinks in org-wide flows</div></div></div></div> 
The Vibe at C-4 Analytics:
C-4 Analytics takes the guesswork out of advertising. We don&rsquo;t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate, and instigate. We are forward-thinking, but we learn from the past. We are results-driven, and our strategies drive results. We love the practical applications of psychology to marketing, but we aren&rsquo;t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect, and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics
8ZeDKHWchy</div>

AI Business Systems Engineer (REMOTE)

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 
 
 
 
 
 You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <ul>
 <li>
 Designing and building AI-powered applications and services
 </li>
 <li>
 Developing intelligent workflows and agentic systems
 </li>
 <li>
 Integrating LLMs into production software products
 </li>
 <li>
 Building retrieval, context and memory systems
 </li>
 <li>
 Designing robust APIs and backend services
 </li>
 <li>
 Evaluating AI performance, reliability and quality
 </li>
 <li>
 Implementing monitoring, testing and fallback mechanisms for AI-driven features
 </li>
 <li>
 Working closely with engineering leadership to define best practices for AI-native development
 </li>
 <li>
 Contributing to architectural decisions across a modern cloud-based platform
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
 </li>
 <li>
 Experience building applications that utilise Large Language Models (LLMs)
 </li>
 <li>
 Experience designing and delivering production-grade software systems
 </li>
 <li>
 Strong understanding of software architecture and system design principles
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure or GCP)
 </li>
 <li>
 Strong programming skills in TypeScript, Python or similar modern languages
 </li>
 <li>
 Experience integrating external APIs and services
 </li>
 <li>
 Ability to make pragmatic technical decisions and communicate trade-offs
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <ul>
 <li>
 Experience building AI agents or agentic workflows
 </li>
 <li>
 Experience with Retrieval Augmented Generation (RAG)
 </li>
 <li>
 Experience working with vector databases and semantic search
 </li>
 <li>
 Knowledge of context management and memory architectures
 </li>
 <li>
 Experience evaluating and testing AI outputs in production environments
 </li>
 <li>
 Experience designing AI-assisted automation systems
 </li>
 <li>
 Exposure to frameworks and tooling within the modern AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer
 </li>
 <li>
 Backend Engineer
 </li>
 <li>
 Full Stack Engineer
 </li>
 <li>
 AI Systems Engineer
 </li>
 <li>
 Applied AI Engineer
 </li>
 <li>
 Platform Engineer with AI experience
 </li>
 </ul>
 
 
 
 
 Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <ul>
 <li>
 Work on genuinely innovative AI-native products
 </li>
 <li>
 Influence technical direction and architecture
 </li>
 <li>
 Join a team investing heavily in modern AI technologies
 </li>
 <li>
 Solve complex engineering challenges at scale
 </li>
 <li>
 Opportunity to help shape the future of AI-enabled software development
 </li>
 </ul>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

Artificial Intelligence Engineer

Adria Solutions Ltd

<div>
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
 
 
 
 
 We&rsquo;re looking for a
 
 hands-on AI Engineer
 
 to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design, build, and integrate AI applications into end-to-end workflows.
 </li>
 <li>
 Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior.
 </li>
 <li>
 Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
 </li>
 <li>
 Establish best practices for orchestration, testing, monitoring, and operational safeguards.
 </li>
 <li>
 Evaluate emerging AI capabilities and translate them into practical, high-value implementations.
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems.
 </li>
 <li>
 Hands-on experience with LLMs, AI services, or agentic AI frameworks.
 </li>
 <li>
 Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability.
 </li>
 <li>
 Systems thinker who collaborates effectively across teams and communicates clearly.
 </li>
 <li>
 Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes.
 </li>
 </ul>
 
 
 
 
 
 Bonus if you have:
 
 AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community.
 
 
 
 
 
 Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment.
 
 
 
 
 
 Interested? Please Click Apply Now
 
 
 
 
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
</div>

Fyrm.ai

<div>
 
 
 Medior AI Engineer / Software Engineer &ndash; Agentic Enterprise Systems
 
 
 
 
 3&ndash;5 jaar werkervaring | Fyrm.ai
 
 
 
 
 
 
 
 ﻿
 
 
 
 
 Bouw mee aan agentic AI-systemen die organisaties &eacute;cht vooruitbrengen
 
 
 
 Bij
 
 Fyrm.ai
 
 bouwen we geen losse AI-tools of vrijblijvende pilots. We ontwikkelen
 
 Agentic Enterprise Systems
 
 : schaalbare AI-systemen waarin agents, data, processen en bestaande bedrijfssoftware als &eacute;&eacute;n intelligent geheel samenwerken. Fyrm.ai richt zich op organisaties die AI structureel willen inzetten om hun operatie slimmer, effici&euml;nter en innovatiever te maken.
 
 
 We groeien hard en zoeken een
 
 Medior AI Engineer / Software Engineer
 
 die wil bouwen aan de technische ruggengraat van onze agentic AI-platformen. Je werkt op het snijvlak van software engineering, machine learning, LLMs, generatieve AI en cloud-native platformontwikkeling.
 
 
 
 
 
 
 Over de rol
 
 
 
 Als
 
 AI Engineer &ndash; AI/Agentic Platforms
 
 ontwerp, bouw en optimaliseer je agentic AI-systemen en multi-agent workflows die direct waarde leveren in de praktijk. Je werkt aan schaalbare software, robuuste AI-architecturen, API-integraties, agent-communicatieprotocollen en production-grade oplossingen voor klanten in sectoren zoals Telecom &amp; IT, Logistiek en Financial Services.
 
 
 Je bent geen engineer die alleen modellen &ldquo;aanroept&rdquo;. Je begrijpt hoe moderne AI-systemen werken, hoe je ze betrouwbaar in productie brengt en hoe je software bouwt die schaalbaar, testbaar en onderhoudbaar is. Je denkt mee over architectuur, performance, security, governance en de technische roadmap van Fyrm.ai.
 
 
 
 
 
 
 Wat je gaat doen
 
 
 
 
 In deze rol ga je onder andere:
 
 
 <ul>
 <li>
 
 Agentic AI-systemen ontwerpen, bouwen en optimaliseren
 
 , inclusief multi-agent workflows, task orchestration, agent-routing en kwaliteitsbewaking.
 </li>
 <li>
 
 Schaalbare software ontwikkelen
 
 in Python en/of JavaScript; ervaring met Rust is een sterke pr&eacute; voor performance-kritische componenten.
 </li>
 <li>
 
 Object-geori&euml;nteerde en functionele programmeerprincipes toepassen
 
 binnen AI-, agent- en platformarchitecturen.
 </li>
 <li>
 
 LLMs en generatieve modellen integreren en orkestreren
 
 binnen agentic systemen, met focus op performance, schaalbaarheid, betrouwbaarheid en kostenbeheersing.
 </li>
 <li>
 
 API-interfaces en agent-communicatieprotocollen ontwerpen en implementeren
 
 , waaronder MCP en andere relevante API-standaarden.
 </li>
 <li>
 
 Fine-tuning en adapter-based training toepassen
 
 met technieken zoals PEFT, LoRA en andere parameter-effici&euml;nte methoden.
 </li>
 <li>
 
 Meewerken aan production-grade AI-systemen
 
 , inclusief logging, monitoring, observability, evaluatie-infrastructuur en lifecycle management.
 </li>
 <li>
 
 Complexe technische problemen debuggen
 
 , van modelgedrag en latency tot integratieproblemen, cloudomgevingen en deployment issues.
 </li>
 </ul>
 
 
 
 
 
 Jouw profiel
 
 
 
 
 Je bent een medior engineer met 3 tot 5 jaar relevante werkervaring
 
 in AI engineering, software engineering, machine learning engineering of een vergelijkbare technische rol. Je houdt van bouwen, maar denkt ook graag na over architectuur, betrouwbaarheid en de manier waarop AI-systemen in echte organisaties waarde cre&euml;ren.
 
 
 Je past goed bij deze rol als je:
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Je hebt een HBO/WO bachelor- of masteropleiding afgerond in
 
 AI
 
 of een vergelijkbare technische of analytische richting.
 
 <ul>
 <li>
 Sterke programmeervaardigheden hebt in
 
 Python
 
 en/of
 
 JavaScript
 
 .
 </li>
 <li>
 LLM-integratie, agent development, RAG, tool use en workflow orchestration.
 </li>
 <li>
 Agentic AI-systemen, multi-agent workflows en agent-communicatie.
 </li>
 <li>
 MCP, API-design, event-driven architecturen en systeemintegraties.
 </li>
 <li>
 Machine learning fundamentals en moderne generatieve AI.
 </li>
 <li>
 Transformer-architecturen, attention, MoE, decoding-strategie&euml;n en model-serving.
 </li>
 <li>
 Diffusion models en andere generatieve modelarchitecturen.
 </li>
 <li>
 Fine-tuning, PEFT, LoRA en adapter-based training.
 </li>
 <li>
 PyTorch, JAX, Hugging Face of vergelijkbare ML-frameworks.
 </li>
 <li>
 Cloudplatformen, met nadruk op Azure.
 </li>
 <li>
 CI/CD, GitHub, observability, monitoring, logging en evaluation pipelines.
 </li>
 <li>
 Production ML, model operations en schaalbare deployment van AI-systemen.
 </li>
 </ul>
 
 
 
 
 
 Hoe jij werkt
 
 
 
 
 We zoeken iemand die graag de diepte ingaat, maar ook pragmatisch bouwt. Je vindt het interessant om te begrijpen waarom een model of agent zich op een bepaalde manier gedraagt, maar je krijgt ook energie van het oplossen van concrete engineeringproblemen.
 
 
 
 
 
 
 
 Wat je bij Fyrm.ai vindt
 
 
 
 Bij Fyrm.ai werk je aan AI-oplossingen die verder gaan dan experimenten. Je bouwt mee aan systemen die processen veranderen, organisaties slimmer maken en AI structureel onderdeel laten worden van de operatie. De cultuur is technisch sterk, nieuwsgierig, hands-on en gericht op echte resultaten. Fyrm.ai beschrijft zichzelf als een team dat academische degelijkheid combineert met technische expertise en praktische implementatiekracht.&nbsp;
 
 
 Je krijgt de kans om:
 
 <ul>
 <li>
 Te werken aan moderne agentic AI-platformen.
 </li>
 <li>
 Direct impact te maken op klantprocessen en bedrijfsresultaten.
 </li>
 <li>
 Mee te bouwen aan architectuur, standaarden en technische richting.
 </li>
 <li>
 Samen te werken met een multidisciplinair team van AI engineers, software engineers, solution architects en business/IT architects.
 </li>
 <li>
 Je verder te ontwikkelen op het snijvlak van AI research, software engineering en enterprise implementatie.
 </li>
 <li>
 Wij bieden een bruto maandsalaris tussen &euro;3.500 en &euro;6.500, afhankelijk van ervaring, kennis en vaardigheden.
 </li>
 </ul>
 
 
 
 
 
 Solliciteren
 
 
 
 Wil jij meebouwen aan de volgende generatie agentic AI-systemen voor organisaties in Nederland en Europa? Dan maken we graag kennis met je.
 
 
 
 ﻿
 
 
 <ul>
 <li>
 
 Solliciteer via:
 
 jobs@fyrm.ai
 </li>
 </ul>
</div>

medior AI Engineer

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