ai automation engineer

LiveRamp

<div>LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
<div><div>
LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative 
companies. A groundbreaking leader in consumer privacy, data ethics, and foundational 
identity, LiveRamp is setting the new standard for building a connected customer view with 
unmatched clarity and context while protecting precious brand and consumer trust. 
LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest 
range of data collaboration use cases&mdash;within organizations, between brands, and across 
its premier global network of top-quality partners. 
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, 
retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business 
value by deepening customer engagement and loyalty, activating new partnerships, and 
maximizing the value of their first-party data while staying on the forefront of rapidly 
evolving compliance and privacy requirements. 
You will: 
<ul><li> Design and build AI agents and copilot experiences for defined internal use cases,</li></ul>
with guidance on overall architecture and standards. 
<ul><li> Conduct prompt engineering analysis, troubleshooting, and continuous tuning of AI</li></ul>
agents and responses for scoped problem areas. 
<ul><li> Create, maintain, and update robust automations using tools such as Workato, Okta</li></ul>
Workflows, and Zapier. 
<ul><li> Implement agentic AI workflows and computer use models (leveraging Gemini,</li></ul>
Claude, OpenAI) alongside browser automation tools to automate multi-step tasks, 
partnering with senior team members on more complex or ambiguous workflows. 
<ul><li> Develop custom agentic actions and integrate them with enterprise platforms using</li></ul>
Model Context Protocol (MCP) servers and APIs, following established patterns and 
best practices. 
<ul><li> Develop and troubleshoot Python scripts.</li><li> Monitor and maintain workflow integrations, agents, and automations, identifying</li></ul>
issues and proposing improvements within your area of responsibility. 
Your team will: 
<ul><li> Collaborate on designing and implementing AI and automation solutions.</li><li> Support each other in the ideation and creation of technical designs.</li></ul></div></div><div></div><div><ul><li> Ensure the seamless integration and maintenance of automation tools and</li></ul>
workflows. 
<ul><li> Work closely with other departments to understand and fulfill automation needs.</li></ul>
<div>
About you: 
<ul><li> Strong hands-on experience working with APIs and integrations.</li><li> Proficient in Python.</li><li> Experience contributing to the technical design of automation and AI solutions and</li></ul>
presenting them to stakeholders across different departments (HR, Legal, Sales, Eng). 
<ul><li> Strong understanding of modern LLMs (Gemini, Claude, OpenAI) and hands-on</li></ul>
experience with prompt engineering and agentic design patterns. 
<ul><li> Ability to support other team members in design ideation, creation, implementation,</li></ul>
and peer reviews. 
<ul><li> Excellent communication and collaboration skills.</li><li> Strong problem-solving mindset, attention to detail, and a passion for driving internal</li></ul>
productivity. 
<ul><li> Typically 3&ndash;5+ years of related experience in software engineering, data engineering,</li></ul>
or automation/AI engineering (or equivalent practical experience). 
</div><div>
Preferred Skills: 
<ul><li> Familiarity with iPaaS tools like Workato, Okta Workflows, and Zapier.</li><li> Deep experience or strong interest in cross-department AI development, including</li></ul>
working with MCP servers, APIs and agentic frameworks. 
<ul><li> Understanding of data pipelines (e.g., BigQuery).</li><li> Exposure to cloud infrastructure such as GCP or AWS.</li></ul>
</div><div>
Benefits: 
<ul><li> People: Work with talented, collaborative, and friendly people who love what they do.</li><li> Location: India - work in the heart of the Hyderabad office.</li></ul>
</div><div>
More about us: 
LiveRampers are empowered to live our values of committing to shared goals and 
operational excellence. Connecting LiveRampers to new ideas and to one another is one of 
our guiding principles&mdash;one that informs how we hire, train, and grow our global teams 
across nine countries and four continents. By continually building inclusive, high belonging 
teams, LiveRampers can deliver exceptional work, champion innovative ideas, and be their 
best selves. Click here to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at 
LiveRamp.</div></div><div></div>
<h2 class="jobSectionHeader">Benefits:</h2><ul><li>
Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</li><li>
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, accident, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth, and more. Your medical benefits extend to your dependents including parents.
</li></ul><h2 class="jobSectionHeader">More about us:</h2><h2 class="jobSectionHeader">
LiveRamp&rsquo;s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.
</h2>We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates. 
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</div>

AI Automation Engineer

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

AI & Automation Engineer, LIGHT

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Shahzada Group of Industries

We are seeking an experienced AI Infrastructure &amp; Automation Engineer to join our team. In this role, you will be the bridge between high-level AI application logic and the underlying hardware that powers it. You will own the responsibility of scaling our AI operations, ensuring our LLM workflows run efficiently on centralized GPU infrastructure, and automating our backend systems. If you have a passion for building robust AI pipelines and optimizing server performance, we want to hear from you.Key Responsibilities<ul><li>Infrastructure Management: Architect, deploy, and maintain centralized GPU server clusters to ensure high availability and performance for LLM training and inference.</li><li>LLM Integration: Develop and maintain backend logic to integrate Large Language Models (LLMs) into production-grade applications.</li><li>Automation: Build end-to-end automation workflows that reduce manual operational tasks, utilizing tools like N8N, Make, or custom Python scripts.</li><li>System Optimization: Monitor and tune server resources to maximize GPU utilization and minimize inference latency.</li><li>Pipeline Development: Create and manage data pipelines for ingestion, preprocessing, and model fine-tuning.</li><li>Scalability: Troubleshoot hardware/software bottlenecks and scale our infrastructure as our AI service demand grows.</li></ul>Required Qualifications<ul><li>Deep Technical Expertise: 3+ years of experience in AI/ML infrastructure, systems engineering, or a similar technical role.</li><li>GPU &amp; Server Knowledge: Hands-on experience with managing GPU-accelerated servers (e.g., NVIDIA stack, CUDA, and containerization with Docker/Kubernetes).</li><li>LLM Proficiency: Practical experience with deploying and fine-tuning LLMs (e.g., Llama, OpenAI API, Mistral) in production environments.</li><li>Programming: Strong proficiency in Python and experience with MLOps frameworks.</li><li>System Integration: Proven ability to connect APIs, webhooks, and databases to build cohesive, automated business workflows.</li><li>Problem-Solving: A &quot;builder&quot; mindset with the ability to identify infrastructure bottlenecks and implement solutions proactively.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs120,000.00 per monthWork Location: In person

Lead AI Automation Engineer (LLM & GPU Infrastructure)

NiCE

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div><h2 class="jobSectionHeader">
Overview</h2>

We&rsquo;re looking for an AI Engineer with strong expertise in Voice, Network, and Compute infrastructure automation. You will design and deploy AI‑driven automation that improves reliability, performance, and operational efficiency across large‑scale systems. This role emphasizes agent‑based automation, MCP‑style service frameworks, and reusable Skills that enable intelligent workflows across infrastructure platforms.
<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2>
<ul><li>Build AI/ML‑powered automation for Voice, Network, and Compute platforms.</li>
<li>Design and deploy Model Context Protocol (MCP)&ndash;style servers or similar agent service layers that expose infrastructure capabilities as secure, reusable AI‑callable actions.</li>
<li>Develop Skills and tools for workflow automation, enabling LLM‑driven agents to execute operational tasks, diagnostics, and remediation safely and deterministically.</li>
<li>Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self‑healing.</li>
<li>Integrate automation with SBCs, SIP systems, routers/switches, load balancers (F5, Palo Alto, Arista), VMware, Kubernetes, and cloud compute platforms.</li>
<li>Build APIs, Skills, and agent workflows that connect with observability, CMDB, and ticketing platforms (Grafana, Prometheus, ServiceNow, etc.).</li>
<li>Implement Infrastructure‑as‑Code using Terraform, Ansible, or similar tools.</li>
<li>Partner with operations teams to eliminate manual work, improve uptime, and accelerate incident response.</li>
<li>Define guardrails, permissions, and validation layers to ensure AI‑driven automation operates safely in production environments.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>5+ years of experience in AI/ML engineering, automation engineering, or infrastructure engineering.</li>
<li>Strong Python development skills, including API and service development.</li>
<li>Hands‑on experience with:
<ul><li>Voice: SIP, SBCs, call flows</li>
<li>Network: routing/switching, F5, Palo Alto, Arista</li>
<li>Compute: VMware, Kubernetes, and cloud platforms</li>
</ul></li><li>Experience building or operating MCP‑like services, agent backends, or tool‑calling frameworks that allow LLMs to interact with real systems.</li>
<li>Proven ability to create modular Skills or tools for workflow automation and agent execution.</li>
<li>Experience with ML frameworks and LLM orchestration tools.</li>
<li>Solid understanding of CI/CD, GitOps, containers, and orchestration.</li>
</ul><h2 class="jobSectionHeader">Bonus Skills</h2>
<ul><li>Cloud‑native automation experience (AWS Lambda, Azure Functions, GCP Cloud Functions).</li>
<li>Knowledge of Kafka or other event/streaming frameworks.</li>
<li>Experience with policy engines, RBAC, and safety controls for AI automation.</li>
<li>Networking, cloud, or automation certifications.</li>
</ul><h2 class="jobSectionHeader">Why This Role Matters</h2>

You will help build the next generation of intelligent, self‑driving infrastructure, where AI agents, MCP‑style services, and reusable Skills replace fragile scripts and manual runbooks. Your work will reduce toil, improve system reliability, and enable teams to operate infrastructure at scale with speed, safety, and resilience.</div><div>
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

AI Automation Infrastructure Engineer

Dizzaract FZ LLC

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.Who we're looking for:We need an Automator. Not just someone who uses neural networks or a ChatGPT subscriber. We need someone who deeply understands AI at an engineering level. You'll be the person who turns scattered LLMs into a structured, hierarchical army of agents capable of running a business.What you'll do:<ul><li>Prompt Engineering &amp; Architecture:Develop complex, multi-layered prompts with dynamic context, few-shot learning, and self-correction mechanisms. Your code won't just be text&mdash;it will be instructions for AI employees.</li><li>Building &quot;Corporate Claude&quot;:Deploy and configure a corporate AI hub (based on Claude, GPT, open-source models, or local LLMs) that has access to internal documentation, knowledge bases, and company APIs.</li><li>Agent Hierarchy Design:Design a multi-agent system. You'll create a &quot;Director&quot; (orchestrator) that assigns tasks to &quot;Department Heads&quot; (specialized agents), who then manage &quot;Executors.&quot; You'll need to establish clear separation of roles, permissions, and responsibilities across departments (from marketing and development to legal and HR).</li><li>Integration &amp; Automation:Embed AI into CRM systems, databases, corporate messengers, and CI/CD pipelines. Ensure agents don't just chat&mdash;they take action: send reports, approve documents, deploy code, analyze logs.</li></ul>Your skill set (what we expect):<ul><li>Deep LLM Engineering: You don't use AI blindly. You understand tokenization, temperature, logits, system prompts, and RAG (Retrieval-Augmented Generation) from the inside out. You can craft prompts that are resistant to injection attacks and hallucinations.</li><li>Agentic Frameworks: Experience with agent-building frameworks (LangChain, LangGraph, AutoGen, CrewAI, or building custom orchestrators from scratch).</li><li>Backend &amp; API: Strong proficiency in Python or TypeScript. Ability to wrap agents in APIs, configure webhooks, and handle asynchronous operations.</li><li>MCP (Model Context Protocol) or Custom Tools: Expertise in equipping AI with tools and functions. Building tools that interact with the corporate environment.</li><li>Security: Understanding how to enforce access controls so that the sales department's agent cannot delete the development team's database.</li></ul>Conditions:<ul><li>Fully remote.</li><li>Results-oriented.</li><li>Employment Type: Full-time.</li><li>Salary: Competitive + KPI-based bonuses.</li></ul>How to apply: please, as a portfolio share -&gt; <ul><li>A diagram or description of a multi-agent system architecture you've built (or would like to build).</li><li>An example of a complex prompt with function calling (tools) that you've developed.</li><li>Your thoughts on how you would enforce access controls for agents across different departments within a corporate environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT) (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+) &rarr; (0&ndash;5)</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+) &rarr; (0,1,2,3,4)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul>Work Location: Remote

AI Automation Engineer / Architect of Agentic AI (Automator)

RANK ARROW (SMC-PRIVATE) LIMITED

Location: Garden Town (On-Site/Hybrid/Part-time) Timings: 9:00 AM &ndash; 6:00 PM (Flexible) Company: Rank Arrow &ndash; Marketing Agency Salary: Negotiable (Based on expertise &amp; results)We&rsquo;re hiring for a position as an AI Automation &amp; n8n Engineer at Rank Arrow &ndash; Marketing Agency.Requirements:<ul><li>Minimum 1+ year of professional experience in automation, workflow development, or system integrations</li><li>Ability to work independently and manage projects from start to finish</li><li>Strong analytical mindset with attention to detail</li><li>Fast learner with excellent problem-solving skills</li><li>Strong communication and collaboration skills</li></ul>Skills:<ul><li>Workflow design and automation building using n8n or similar platforms</li><li>API integrations, webhooks, and database connectivity</li><li>Building logic-based workflows, conditional paths, and error handling</li><li>Workflow testing, troubleshooting, and performance optimization</li><li>Ability to connect CRMs, forms, spreadsheets, email tools, and third-party applications</li><li>Documentation and process mapping skills</li><li>Knowledge of AI tools, AI agents, and AI-driven automation workflows</li><li>Experience with SaaS tools and advanced automation scenarios</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs100,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI automation and n8n: 1 year (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

AI Automation & n8n specialist | 1+ Years On-Site Experience

Search 10000+ Ai automation engineer jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 ai automation engineer jobs Near Me

AI Automation Engineer

AI & Automation Engineer, LIGHT

AI & Automation Engineer, LIGHT

Lead AI Automation Engineer (LLM & GPU Infrastructure)

AI Automation Infrastructure Engineer

AI Automation Engineer / Architect of Agentic AI (Automator)

AI Automation & n8n specialist | 1+ Years On-Site Experience