ai engineer - game development (production acceleration & tooling)

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ai engineer - game development (production acceleration & tooling) Jobs in Lahore

ai engineer

OOP Technologies

<p><b>Job Title: AI Engineer</b><br/><b>Company:</b> OOP Technologies<br/><b>Location:</b> Iqbal Town, Lahore<br/><b>Shift Timing:</b> 9:00 PM &ndash; 6:00 AM (Night Shift)<br/><b>Experience Required:</b> 2 to 4 Years</p><p><b>Job Description:</b><br/>OOP Technologies is seeking a skilled and motivated AI Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions to support business operations and enhance product capabilities. You will work on real-world applications involving machine learning, data analysis, and automation, particularly for international (USA-based) projects.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Design and implement AI solutions for automation and data-driven decision-making</li><li>Work with large datasets, perform data preprocessing, and feature engineering</li><li>Integrate AI models into production systems and APIs</li><li>Collaborate with cross-functional teams including developers, analysts, and project managers</li><li>Monitor model performance and continuously improve accuracy and efficiency</li><li>Stay updated with the latest advancements in AI and emerging technologies</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>2&ndash;4 years of hands-on experience in AI/ML development</li><li>Strong knowledge of Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with data analysis, NLP, or computer vision is a plus</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred</li><li>Strong problem-solving and analytical skills</li><li>Ability to work in a fast-paced night shift environment</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary package</li><li>Opportunity to work on international (USA-based) projects</li><li>Career growth and learning opportunities</li><li>Supportive and professional work environment</li></ul><p><b>Apply Now:</b><br/>Send your CV to: hr.ooptechnologies@gmail.com<br/>WhatsApp: 0323-7846800</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs350,000.00 per month</p><p>Work Location: In person</p>

AI Engineer

Contour Software

<div><div><b>About Contour</b></div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div><b>
Job Description</b><b>: Senior AI Engineer - DIS</b></div></div><div><div><b>
The Division:</b><br>
Dealer Information Systems Corporation (Client) is a leading business management software provider to agricultural, construction, truck refrigeration and lift truck dealers in North America. Founded in 1980, and based in Bellingham WA (USA); we are a team of 100+ professionals who help customers with Software, Hardware and Network Management so they don't have to deal with many vendors but just one full-service company.<br>
<br>
Division Profile: https://www.discorp.com/</div></div><div><div><b>
The Position</b></div></div><div><div>
The division is seeking a <b>Senior AI Engineer</b> to join its team. This individual will be responsible for designing and developing the AI platform, including building GenAI systems from the ground up, creating production-ready retrieval-augmented generation (RAG) solutions, developing semantic search and embeddings pipelines, and architecting advanced LLM orchestration layers for complex workflows and agentic systems.</div></div><div></div><div><div><br>
The chosen individual will work out of the Contour Software Lahore or Islamabad resource center office as an extension of the division-based R&amp;D department.</div></div><div></div><div><div><b><br>
Essential Duties and Responsibilities</b></div></div><div><ul><li><div><b>
AI Platform Architecture:</b></div></li></ul></div><div><ul><li><div>
Design and implement the enterprise GenAI architecture from the ground up.</div></li></ul></div><div><ul><li><div>
Build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure.</div></li></ul></div><div><ul><li><div>
Architect LLM orchestration layers for multi-step reasoning, tool usage, and AI-driven workflows.</div></li></ul></div><div><ul><li><div>
Define scalable patterns for agentic systems and domain-aware assistants.</div></li></ul></div><div><ul><li><div><b>
LLM Systems in Production:</b></div></li></ul></div><div><ul><li><div>
Integrate LLM providers (OpenAI, Anthropic, open-weight models, or hybrid approaches) into secure, observable enterprise systems.</div></li></ul></div><div><ul><li><div>
Build AI service layers, orchestration APIs, caching, evaluation pipelines, and monitoring frameworks.</div></li></ul></div><div><ul><li><div>
Design for latency, cost optimization, safety, and reliability at scale.</div></li></ul></div><div><ul><li><div>
Establish measurable quality benchmarks and evaluation strategies for AI outputs.</div></li></ul></div><div><ul><li><div><b>
Responsible &amp; Enterprise-Ready AI</b><b>:</b></div></li></ul></div><div><ul><li><div>
Implement guardrails, policy enforcement, and hallucination mitigation mechanisms.</div></li></ul></div></div><div><div><ul><li><div>
Define governance standards for data provenance, auditability, and transparency.</div></li></ul></div><div><ul><li><div>
Build AI systems that engineering and compliance teams can trust.</div></li></ul></div><div><ul><li><div><b>
AI Adoption &amp; Enablement</b><b>:</b></div></li></ul></div><div><ul><li><div>
Translate high-impact business problems into AI-native architectures.</div></li></ul></div><div><ul><li><div>
Partner with product leaders to prioritize AI features that drive measurable value.</div></li></ul></div><div><ul><li><div>
Mentor engineers and raise the organization&rsquo;s AI maturity.</div></li></ul></div><div><ul><li><div>
Move teams from PoCs to scalable, production-grade AI capabilities.</div></li></ul></div><div><div><b>
Required Education and Experience:</b></div></div><div><ul><li><div>
Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience.</div></li></ul></div><div><ul><li><div>
5+ years building applied AI/ML systems, with strong recent experience in Generative AI.</div></li></ul></div><div><ul><li><div>
Proven experience shipping LLM-powered applications (RAG, embeddings, prompt strategies, model adaptation).</div></li></ul></div><div><ul><li><div>
Deep understanding of vector search, semantic retrieval, and AI system evaluation.</div></li></ul></div><div><ul><li><div>
Experience building orchestration layers using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or designing equivalent custom architectures.</div></li></ul></div><div><ul><li><div>
Strong cloud-native engineering experience (AWS, Azure, or GCP).</div></li></ul></div><div><ul><li><div>
Advanced Python skills and experience building scalable backend systems and APIs.</div></li></ul></div><div><ul><li><div>
Experience implementing observability, CI/CD, and monitoring for AI systems in production.</div></li></ul></div><div><ul><li><div>
Ability to balance innovation with enterprise constraints (security, compliance, reliability).</div></li></ul></div><div></div><div><div><b><br>
What Makes This Role Different</b></div></div><div><ul><li><div>
You are not inheriting a legacy AI stack; you will help define it.</div></li></ul></div></div><div><div><ul><li><div>
You will shape AI standards, architecture, and governance across the division.</div></li></ul></div><div><ul><li><div>
Your work will power real customer-facing products and operational intelligence.</div></li></ul></div><div><ul><li><div>
You will operate at the intersection of AI strategy, architecture, and hands-on engineering.</div></li></ul></div></div><div></div><div><b><br>
Exciting Benefits we offer:</b></div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Senior AI Engineer

Hazen Technologies Inc.

<div><p><b>Company Overview:</b></p><p>
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.</p><p><b>
Job Location</b>: Gulberg Lahore Pakistan.</p><p><b>
Job Conditions:</b> Onsite, full time, 02:00 pm to 11:00 pm PKT</p><p><b>
Report to:</b> Chief Software Architect</p><p>
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using <b>Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures</b>, and modern machine learning techniques.</p><p><b>
Key Responsibilities:</b></p><br>
<ul><li>
Design and implement <b>AI-powered applications</b> using Large Language Models (LLMs).</li>
<li>Develop and maintain <b>Retrieval-Augmented Generation (RAG) pipelines</b> for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with <b>LLM APIs</b> and integrate them into production-grade applications.</li>
<li>Build and manage <b>embedding pipelines and vector search solutions</b>.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in <b>Generative AI, LLM frameworks, and machine learning technologies</b>.</li></ul><p><b>
Key Requirements:</b></p><ul>
<li><b>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</b></li>
<li>Strong programming skills in <b>Python</b>.</li>
<li>Hands-on experience working with <b>LLMs and their APIs</b>.</li>
<li>Experience building or working with <b>RAG-based architectures</b>.</li>
<li>Understanding of <b>machine learning fundamentals</b> and model evaluation techniques.</li>
<li>Experience with <b>embeddings, vector databases, and semantic search</b>.</li>
<li>Familiarity with frameworks such as <b>LangChain, LlamaIndex, or similar LLM orchestration tools</b>.</li></ul><p><b>
Preferred / Nice to Have</b></p><ul>
<li>Experience with <b>Azure AI services and Azure OpenAI</b>.</li>
<li>Familiarity with <b>vector databases</b> such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in <b>cloud environments (Azure preferred)</b>.</li>
<li>Knowledge of <b>MLOps, model monitoring, and scalable AI system design</b>.</li>
<li>Experience working with <b>REST APIs and backend integration</b>.</li></ul><p>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.</p><p>
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</p></div>

AI/ML Engineer

UserWise Services

<div>About UserWise<p>
We&rsquo;re building a high-speed, AI-assisted game production team focused on developing and scaling mobile games globally.</p><p>
This is not a traditional game team. We operate with ownership, clarity, and execution speed &mdash; leveraging AI-driven workflows to move faster than most studios.</p><p>
We work across a global team, building production-ready games and scaling them through LiveOps. Our focus is simple: increase the number of high-quality bets and turn them into scalable products.</p><p>
Our team is already working across established franchises such as Fruit Ninja and Wordscapes, contributing to both development and growth initiatives.</p><p></p>
Why Join<p>
You&rsquo;ll be part of a team applying AI to real production environments &mdash; not research, but building systems that directly impact how games are created and scaled.</p><p></p><b><br>
Requirements</b><br>
<p></p>
What You&rsquo;ll Do<p>
You will build systems and tools that accelerate game development across design, engineering, art, and QA.</p><ul><li>
Create AI-assisted workflows and tools that enable faster content creation (levels, assets, systems) directly within Unity Engine.</li><li>
Automate repetitive processes across production pipelines</li><li>
Work closely with designers, artists, QA, and engineers to improve workflows</li><li>
Integrate AI Capabilities: Connect our development environment with external AI/LLM models and APIs e.g. Claude Code MCP servers, Cursor Skills, to automate repetitive production pipelines.</li><li>
Rapidly prototype and deploy solutions that increase team velocity</li><li>
Continuously improve how games are built, tested, and scaled</li></ul><p></p>
What You Bring<ul><li>
Strong engineering background 4+ years of experience in game development</li><li>
Fluency in C# and deep familiarity with Unity Engine</li><li>
Experience working with AI/LLM-based tools or systems</li><li>
You are a builder &mdash; you ship tools and solutions, not just ideas</li><li>
You focus on practical impact, not theoretical research</li><li>
You can work across disciplines (design, art, QA, product)</li><li>
You are comfortable moving fast and iterating quickly</li><li>
You take ownership and solve problems end-to-end</li><li>
You care about improving speed, scalability, and efficiency</li></ul><p></p>
Environment<ul><li>
High ownership &mdash; you build systems that impact the entire team</li><li>
High speed &mdash; rapid iteration and deployment of tools</li><li>
AI-first workflows &mdash; real application of AI in production</li><li>
Global team &mdash; collaborate across multiple disciplines and regions</li><li>
Low bureaucracy &mdash; minimal process, maximum execution</li></ul><p></p><b><br>
Benefits</b><br>
<ul><li>
Market competitive, tax-free USD salaries</li><li>
Private Health Insurance</li><li>
Paid Time Off</li><li>
Performance Bonus</li><li>
Annual Performance Reviews</li></ul></div>

AI Engineer - Game Development (Production Acceleration & Tooling)

Pixalate

<div>
 Applied AI Scientist
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : Remote, Pakistan
 <br/>
 <br/>
 <strong>
  Level:
 </strong>
 Mid to Senior (PhD Required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
 <br/>
 <br/>
 This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues
  </li>
  <li>
   Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams
  </li>
  <li>
   Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time
  </li>
  <li>
   Partner with engineering and product teams to ensure data quality and integrity across product pipelines
  </li>
  <li>
   Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements
  </li>
  <li>
   Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 Must-Have
 <br/>
 <br/>
 <ul>
  <li>
   PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
  </li>
  <li>
   3&ndash;6 years of experience in a data science, ML, or data analytics role
  </li>
  <li>
   Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong
  </li>
  <li>
   Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)
  </li>
  <li>
   Proficiency in Python and SQL
  </li>
  <li>
   Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous
  </li>
  <li>
   Clear written and verbal communication skills
   <br/>
   <br/>
  </li>
 </ul>
 Nice-to-Have
 <br/>
 <br/>
 <ul>
  <li>
   Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems
  </li>
  <li>
   Exposure to multi-agent orchestration patterns
  </li>
  <li>
   Comfort working in fast-moving environments with evolving product requirements
   <br/>
   <br/>
  </li>
 </ul>
 We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.
 <br/>
 <br/>
 Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.
 <br/>
 <br/>
 Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
 <br/>
 <br/>
 <ul>
  <li>
   Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
  </li>
  <li>
   Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
  </li>
  <li>
   Washington Post: Your kids&rsquo; apps are spying on them
  </li>
  <li>
   Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire
  </li>
  <li>
   ABC7 News: The State of Children's Privacy Online
  </li>
  <li>
   NBC News: How many apps are tracking your children
   <br/>
   <br/>
  </li>
 </ul>
 Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.
 <br/>
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 <em>
  Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.
 </em>
</div>


Applied AI Scientist (PhD Required)

Vortexian Tech (SMC-Pvt) Ltd

<p><b>Urgent Hiring &ndash; Full Stack AI Python Developer (Paid Internship)</b></p><p><b>Location:</b> DHA Phase 8, Lahore, Pakistan<br/><b>Job Type:</b> Internship (Paid | Onsite)<br/><b>Timings:</b> 6:00 PM &ndash; 3:00 AM</p><p><b>Job Description</b></p><p>We are urgently hiring a <b>Full Stack AI Python Developer Intern</b> who is passionate about <b>AI, Machine Learning, and Python development</b>. This is a great opportunity for fresh graduates or students to gain <b>hands-on experience in real-world AI projects</b>.</p><p>You will work closely with senior developers and contribute to live projects involving <b>AI solutions and full-stack development</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Assist in developing and deploying <b>AI/ML models using Python</b></li><li>Support backend development using <b>Django / Flask / FastAPI</b></li><li>Work on <b>API development and integration</b></li><li>Help integrate AI features into <b>web/mobile applications</b></li><li>Collaborate with the development team on ongoing projects</li><li>Participate in learning, research, and development tasks</li></ul><p><b>Requirements</b></p><ul><li>Basic to intermediate knowledge of <b>Python</b></li><li>Understanding of <b>AI/ML concepts (NLP, ML basics, etc.)</b></li><li>Familiarity with <b>Django / Flask / FastAPI (preferred)</b></li><li>Passion for <b>AI and software development</b></li><li>Good <b>English communication skills</b></li><li>Willingness to work <b>onsite in DHA Phase 8, Lahore</b></li><li>Quick learner with problem-solving mindset</li></ul><p><b>Nice to Have</b></p><ul><li>Basic exposure to <b>TensorFlow / PyTorch / Scikit-learn</b></li><li>Familiarity with <b>LLMs (ChatGPT, APIs, etc.)</b></li><li>Knowledge of <b>Git, Docker, or cloud basics</b></li><li>Understanding of frontend frameworks (React, etc.)</li></ul><p><b>What You&rsquo;ll Get</b></p><ul><li><b>Paid Internship</b></li><li>Hands-on experience in <b>AI &amp; Full Stack Development</b></li><li>Work on <b>real-world projects</b></li><li>Opportunity for <b>full-time job after internship</b></li><li>Supportive and learning-focused environment</li></ul><p><b>Apply Now</b></p><p>Apply via Indeed<br/><b>Immediate joiners will be preferred.</b></p><p>Job Type: Full-time</p><p>Pay: Rs15,000.00 - Rs25,000.00 per month</p><p>Work Location: In person</p>

Urgent Hiring – Full Stack AI Python Developer (Paid Internship)

Motive

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 <br/>
 <br/>
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 <br/>
 <br/>
 Visit gomotive.com to learn more.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 PK - Lahore
 <strong>
  (On-Site)( Timing 6pm-3am)
  <br/>
  <br/>
 </strong>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery.
 <br/>
 <br/>
 Motive is proud to be a Forbes Cloud 100 company and a 2020 Career-Launching Company by Wealthfront.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As an integral member of our dynamic team, the IT Support Engineer holds the pivotal responsibility of championing end-user satisfaction through adept IT support. Tasked with monitoring and maintaining our company's computer systems, the IT Support Engineer performs hardware and software installations and elevates our technological prowess by tackling logical, analytical, and technical challenges independently and through collaborative efforts with internal teams and valued vendor partnerships.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for a skilled and customer-focused IT Support Engineer who can deliver high-quality technical support across endpoint systems, SaaS applications, and core IT services. This role requires hands-on experience with MacOS, Windows, and Linux environments, strong troubleshooting abilities, and the capability to support users both onsite and remotely. The ideal candidate will also have exposure to modern IT operations, including MDM platforms, ticketing systems, cloud productivity tools, and emerging AI-driven support workflows
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide end-to-end IT support across MacOS, Windows, and Linux environments, including mass OS installations, upgrades, and configurations
  </li>
  <li>
   Manage employee onboarding and offboarding (onsite and remote), covering device provisioning and MDM enrolment
  </li>
  <li>
   Provide IT Support for MDM platforms such as Kandji and Microsoft Intune
  </li>
  <li>
   Hands-on MacOS support and advanced troubleshooting for Windows OS issues
  </li>
  <li>
   Support enterprise SaaS tools including Google Workspace (G Suite), Okta, Salesforce, and collaboration platforms
  </li>
  <li>
   Provide onsite support for office users and remote support via Jira tickets, email, and Slack
  </li>
  <li>
   Maintain accurate IT asset inventory and device lifecycle records
  </li>
  <li>
   Assist with basic network and infrastructure troubleshooting and maintain awareness of next-generation firewalls
  </li>
  <li>
   Basic understanding of current AI trends and how AI can assist in IT support ticket management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience
  </li>
  <li>
   1&ndash;6 years of IT support experience in a corporate or fast-paced environment
  </li>
  <li>
   Strong working knowledge of MacOS and Windows, with basic Linux familiarity
  </li>
  <li>
   Hands-on experience with MDM solutions (Kandji, Microsoft Intune, or similar)
  </li>
  <li>
   Solid understanding of ticketing systems such as Jira Service Management
  </li>
  <li>
   Practical experience supporting GWS, SSO, CRM, VoIP and other SaaS applications
  </li>
  <li>
   Good foundational knowledge of networking concepts (TCP/IP, DNS, DHCP, VPNs) and general infrastructure
  </li>
  <li>
   Awareness of modern IT security concepts and tools, including next-generation firewalls
  </li>
  <li>
   Understanding of how AI and automation are applied in IT support workflows
  </li>
  <li>
   Strong communication and customer-handling skills with a problem-solving mindset
  </li>
  <li>
   Flexibility to work varying hours or shifts when required
  </li>
  <li>
   Relevant certifications (CCNA, Microsoft 365, etc.) and call-center IT support experience are a plus
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
  <br/>
  <br/>
 </em>
 <em>
  Please review our Candidate Privacy Notice here.
  <br/>
  <br/>
 </em>
 <em>
  UK Candidate Privacy Notice here.
  <br/>
  <br/>
 </em>
 <em>
  The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 </em>
</div>


IT Support Engineer

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