ai automation engineer

Napollo Software Design LLC.

Location: Lahore OfficeCompany: Napollo Software Design LLCExperience Required: 3+ YearsEmployment Type: Full-TimePosition OverviewWe are seeking a highly skilled AI Automation Engineer with a strong foundation in Artificial Intelligence, Software Engineering, and Automation Systems. The ideal candidate will have solid programming experience in Python and React, a background in AI-related development, and the ability to integrate APIs and databases to build intelligent, automated workflows.Key Responsibilities<ul><li>Develop and deploy AI-powered automation systems and applications.</li><li>Build and maintain API integrations between multiple platforms and services.</li><li>Work with structured and unstructured databases for automation and reporting.</li><li>Collaborate with the team to enhance and scale AI workflows.</li><li>Write clean, maintainable, and well-documented code using GitHub.</li><li>Utilize Visual Studio Code and modern tools for debugging and version control.</li><li>Contribute to AI system improvements, data pipelines, and automation scripts.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Artificial Intelligence, Computer Science, or a related field.</li><li>3+ years of experience in AI automation or software engineering.</li><li>Strong programming skills in Python (compulsory).</li><li>Hands-on experience with React and front-end technologies.</li><li>Proficient in API integration, database management, and automation scripting.</li><li>Familiarity with GitHub workflows and Visual Studio Code.</li><li>Solid understanding of AI tools, APIs, and libraries.</li></ul>Preferred Skills<ul><li>Experience deploying machine learning or AI-based applications.</li><li>Knowledge of Flask, FastAPI, or Node.js for backend development.</li><li>Understanding of cloud environments (AWS, Azure, Google Cloud).</li><li>Exposure to AI/ML pipelines or MLOps processes.</li></ul>Job Type: Full-timeWork Location: In person

AI Automation Engineer

AIO App Inc

<div>About the Role:
We are hiring an AI Automation Engineer who lives and breathes automation. Your mission? Identify bottlenecks, streamline workflows, and deploy smart, AI-driven automations across the entire company&mdash;spanning operations, sales, marketing, HR, finance, support, QA and more.
You'll use platforms like n8n, Make.com, Zapier, and custom-built LLM integrations to eliminate manual tasks, reduce turnaround time, and supercharge team productivity. From scraping to summarising, from routing to replying&mdash;you'll automate it all.
If you're the kind of person who looks at any task and thinks, &quot;I can automate this,&quot; we want you on our team. 
What will be your responsibilities?
<ul><li>Auditing existing internal workflows across departments to identify automation opportunities.</li>
<li>Design and build end-to-end automation pipelines using tools like n8n, Make.com, Zapier, or custom scripts.</li>
<li>Integrate with third-party APIs, CRMs, Google Workspace, Slack, Notion, Airtable, etc.</li>
<li>Build LLM-based agents or tasks (e.g., summarisation, classification, smart replies, data enrichment).</li>
<li>Connect AI services (OpenAI, Claude, HuggingFace, OCR tools, etc.) into automated flows.</li>
<li>Handle data parsing, storage, and transformation for structured outputs (CSV, JSON, spreadsheets).</li>
<li>Monitor, debug, and maintain running automations with alerts and logging.</li>
<li>Collaborate with all internal departments to design high-impact, low-maintenance automation solutions.</li>
<li>Create documentation and onboarding playbooks for non-tech teams to understand and use automations.</li> 
</ul>What are we looking for, and what does it require to be the right fit for this role?
<ul><li>2+ years of hands-on experience with n8n, Make.com, Zapier, or similar automation platforms.</li>
<li>Strong understanding of APIs, webhooks, and data flows between SaaS tools.</li>
<li>Experience integrating AI services (OpenAI, LangChain, OCR APIs, Whisper, etc.) into workflows.</li>
<li>Comfortable writing basic scripts (Python, JS, Bash) for custom logic inside automation platforms.</li>
<li>Excellent process-mapping and problem-solving skills.</li>
<li>Ability to work across departments to understand problems and deliver working automation solutions fast.</li>
<li>Bonus: Experience in workflow analytics, process mining, or robotic process automation (RPA).</li>
<li>Bonus: Prior experience automating operations in a SaaS or startup environment.</li>
<li>If you believe anything repeatable should be automated&mdash;this is your dream job.</li> 
</ul>Why Join AIO?
Our mission is to revolutionise the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their businesses. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all of their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class Silicon Valley-funded startup.</div>

Techionik Ltd

Techionik Ltd. is seeking a highly skilled Senior AI Automation Engineer to design, develop, and implement intelligent automation solutions that enhance efficiency, accuracy, and innovation across business operations. The ideal candidate will possess strong expertise in Artificial Intelligence, Machine Learning, and Process Automation, with a proven ability to integrate AI-driven technologies into enterprise systems.Key Responsibilities<ul><li>Design and implement AI-powered automation solutions to streamline business processes and reduce manual effort.</li><li>Develop and deploy machine learning models, chatbots, and predictive analytics tools aligned with organizational goals.</li><li>Integrate automation platforms such as UiPath, Power Automate, or Automation Anywhere with existing business systems.</li><li>Work with APIs and data pipelines to ensure seamless data flow between AI models and enterprise applications.</li><li>Analyze business requirements, identify automation opportunities, and present AI-driven solutions.</li><li>Ensure the scalability, performance, and reliability of automation systems.</li><li>Collaborate with development and data teams to improve model accuracy and system efficiency.</li><li>Conduct regular audits and performance evaluations of deployed automation solutions.</li><li>Stay updated with the latest advancements in AI, ML, and automation technologies to recommend continuous improvements.</li><li>Mentor junior engineers and contribute to the company&rsquo;s AI strategy and best practices.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.</li><li>Minimum 5+ years of experience in AI development and automation engineering.</li><li>Proficiency in Python, TensorFlow, PyTorch, OpenAI APIs, and automation frameworks.</li><li>Experience with RPA tools (UiPath, Power Automate, Automation Anywhere, etc.).</li><li>Strong understanding of machine learning algorithms, NLP, and computer vision techniques.</li><li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and DevOps practices.</li><li>Excellent problem-solving, analytical, and debugging skills.</li><li>Ability to translate business needs into technical AI automation solutions.</li><li>Strong communication and collaboration abilities with cross-functional teams.</li></ul>Preferred Skills (Plus Points)<ul><li>Experience working with LLMs (Large Language Models) and Generative AI tools.</li><li>Hands-on experience with API integration and automation scripting.</li><li>Knowledge of data analytics, ETL processes, and workflow orchestration tools.</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Automation Engineer

Blue Yonder

<div><div>Scope:</div><div>
Generative AI Specialist with an experience of 6-8 years in AI/ML engineering, data processing and LLM Models. In this role, you will design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A solid grounding in AI Engineering and MLOps is essential.</div><div></div><div>
Our current technical environment:</div><ul><li>
Advanced Python and SQL programming.</li><li>
React/TypeScript/Next.js proficiency for building intuitive user interfaces.</li><li>
Demonstrated expertise in integrating AI solutions into large-scale, complex systems with a focus on scalability and operational efficiency.</li><li>
Strong problem-solving, analytical, and communication skills.</li></ul><div></div><div>
What you&rsquo;ll do:</div><ul><li>
Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes.</li><li>
Fine-tune and adapt LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Demonstrates good understanding of the product and owns one or more modules</li><li>
Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines.</li><li>
Build user-friendly, scalable UIs with React and TypeScript to enhance AI-driven tools.</li><li>
Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable.</li><li>
Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications.</li></ul><div></div><div>
What we are looking for:</div><ul><li>
BE/B. Tech or ME/M. Tech with 6-8 years of experience in Software Development of large and complex enterprise applications.</li><li>
Professional experience in data science, machine learning, or software development, with a strong focus on AI agent workflows.</li><li>
Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and Hugging Face.</li><li>
Hands-on experience with LLM training, fine-tuning, embeddings, and instruction tuning.</li><li>
Proficiency in cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).</li><li>
Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. Demonstrates problem solving and innovation ability.</li><li>
Participates in company technical evaluations and coding challenges.</li></ul><div></div><div>
Our Values</div><div> 
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: <div>Core Values</div></div><div></div><div>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div></div>

AI Automation Engineer (LLM, GEN AI, Python and ReactJS/NodeJS/JavaScript)

Experian

<div>We are seeking an Automation Engineer with a passion for automation and modern AI/GenAI/Agentic technologies. You will use your programming expertise and knowledge of AI/GenAI/Agentic to build and optimize automation workflows for our business processes.
Responsibilities:<ul><li>
Develop Automation Workflows: Design, implement, and maintain automation scripts and tools (primarily in Python) to streamline operational processes (e.g. customer onboarding, transaction processing, reporting).</li><li>
Integrate AI and LLMs: Leverage generative AI and LLM capabilities to enhance automation. This includes calling OpenAI APIs or similar services to build intelligent features such as document processing, content generation, or decision support within workflows.</li><li>
Agentic Automation Solutions: Create and deploy agent-based automation (utilizing frameworks like LangChain, CrewAI or custom agents) that can perform multi-step tasks with minimal human intervention.</li><li>
Data Retrieval and RAG: Implement retrieval-augmented generation techniques when needed &ndash; such as using vector databases to store and retrieve embeddings &ndash; so that AI models have access to relevant data (e.g. knowledge bases or transaction history) for more accurate and context-aware outputs.</li><li>
Testing and Optimization: Rigorously test automation workflows to ensure reliability, accuracy, and security. Debug issues and optimize performance of scripts or AI components (e.g. fine-tune prompts or adjust logic for better results).</li><li>
Documentation: Document the design, steps, and usage of automation workflows clearly. Provide user guides or runbooks for automated processes to ensure maintainability and knowledge sharing within the team.</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. 
 
<div>Experience and Skills</div> 
<ul><li>Bachelor's or master's degree in computer science, Software Engineering, or a related field with</li><li>
You should have overall experience of 5yrs and 1-2 yrs experience in GenAI/AI/Agentic automation.</li><li>
AI/ML Tools: Familiarity with additional AI and data tools such as TensorFlow/PyTorch (for any ML model work), Pandas or SQL (for data manipulation and analysis in automation), or prompt engineering techniques to fine-tune AI behavior.</li><li>
AI/Generative AI: Knowledge of generative AI and LLMs. Hands-on experience using the OpenAI API (or similar AI/ML APIs) to build applications or prototypes.</li><li>
Agentic AI Frameworks: Exposure and deep understanding of Agentic AI and to frameworks like LangChain, CrewAI (or similar libraries for building AI-driven applications). Ability to design multi-step AI workflows or chains, prompt engineering, Evals, and integrate pre-built AI components into larger processes.</li><li>
Vector Databases &amp; RAG: Good understanding of vector databases (LlamaIndex, ADA, FAISS, etc.) and Retrieval Augmented Generation (RAG) concepts.</li><li>
You will be reporting to a Senior Manager</li></ul> 
 
<div>Additional Information 
</div> 
Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
#LI-Onsite<div></div>
Experian Careers - Creating a better tomorrow together</div>

Senior Automation Engineer

Beam AI

<div>Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful. To learn more, visit https://beam.ai/.<h3 class="jobSectionHeader">

About the Team
</h3>Beam&rsquo;s AI Agent Deployment team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimization. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Deployment engineers operate with autonomy, move fast, and shape both how Beam&rsquo;s platform evolves and how our customers succeed.
<h3 class="jobSectionHeader">About the Role</h3>
We're looking for an AI Agent Engineer to join Beam and help us deliver AI-powered solutions! In this role, you'll be at the core of our automation platform, designing and refining AI-driven workflows through prompt engineering and hands-on problem-solving. You&rsquo;ll work closely with the team to understand business needs and help build agents that drive real impact.
This is a great opportunity for someone curious about AI, eager to learn, and excited to gain hands-on experience in a fast-paced startup environment. We&rsquo;re especially looking for someone with a technical foundation and programming skills, who is comfortable learning new tools and translating process requirements into automated workflows. This is a great opportunity for someone who has a strong drive to build, test, and improve real-world AI solutions.<h3 class="jobSectionHeader">
Responsibilities</h3>
Your work will focus on agent building and prompt design, while collaborating with team members to support project delivery. The key responsibilities include:<ul>
<li>
Build AI agents using our no-code platform, focusing on prompt creation and automation workflows.</li>
<li>Present demonstrations of your AI agents, showing how they address business needs and improve efficiency.</li>
<li>Collaborate with the internal team to scope use cases, break down processes, and translate them into agent logic.</li>
<li>Support integration efforts by understanding basic API connections and working with our technical team.</li>
<li>Participate in internal testing, feedback cycles, and training sessions to build skills in agent creation and no-code tools.</li>
<li>Contribute to improving workflows by sharing learnings from experimentation and demo creation.</li>
</ul>
Requirements<ul>
<li>
Bachelor's in Computer Science, Software Engineering, AI/ML or a related technical field.</li>
<li>Prior experience (e.g., internships, academic projects, or part-time roles) in technical roles such as Solutions or deployment Engineering, or Implementation Support.</li>
<li>Interest in prompt engineering and willingness to learn hands-on.</li>
<li>Programming knowledge, ideally in Python or Node.js.</li>
<li>Ability to break down business processes and think analytically about automation.</li>
<li>Basic understanding of how APIs work and how systems connect.</li>
<li>Strong communication and documentation skills.</li>
<li>Interest in AI technologies and a willingness to learn in a hands-on, fast-paced environment.</li>
</ul>
Nice to have:<ul>
<li>
Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar.</li>
<li>Background in AI/ML or experience applying AI to business workflows.</li>
<li>Experience in fast-paced or startup environments.</li>
</ul>
Benefits
At Beam, we&rsquo;re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We&rsquo;re thoughtful about what we build, how we work, and who we hire. The problems we&rsquo;re solving are real. The systems we&rsquo;re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won&rsquo;t find rigid hierarchies or endless process here. You&rsquo;ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
What you&rsquo;ll find here<ul>
<li>Ownership with clarity: You&rsquo;ll drive work from idea to execution in a high-context, high-autonomy environment. We trust people to lead and follow through.</li>
<li>Growth that compounds: Whether you're deepening your technical expertise, exploring leadership, or learning across disciplines, we support growth paths that aren&rsquo;t one-size-fits-all.</li>
<li>Work that matters: You&rsquo;ll contribute to AI-native systems already powering real-world operations, not just prototypes or experiments.</li>
<li>Aligned incentives: We offer competitive compensation and meaningful equity, designed for long-term value creation, not just short-term rewards. When Beam wins, you do too.</li>
<li>A culture that raises the bar: You&rsquo;ll work with sharp, kind teammates who value directness, curiosity, and momentum. We challenge each other to do better and support each other every step of the way.</li>
</ul>If this sounds like the kind of work you want to do and the kind of team you want to grow with, we&rsquo;d love to hear from you!</div>

AI Agent Engineer

Rang Clothing

Location: Tirupur (On-site) Industry: E-commerce / Custom Printed &amp; Embroidered Apparel Salary: &#8377;10,000 &ndash; &#8377;15,000/month (based on experience) Employment Type: Full-timeAbout UsWe&rsquo;re an Australian apparel company specialising in custom printed and embroidered uniforms. Our team leverages AI tools to automate design, marketing, and business workflows &mdash; and we&rsquo;re looking for an innovative AI Specialist to help take our operations to the next level.Responsibilities<ul><li>Develop and maintain AI automations to streamline daily operations (design, pricing, chatbots, marketing).</li><li>Build and train AI assistants using platforms like Voiceflow, OpenAI, or Zapier.</li><li>Create AI workflows for image generation, vectorisation, and mock-up automation.</li><li>Integrate AI tools with backend systems (e.g., website, CRM, and order management).</li><li>Research and implement new AI solutions to improve efficiency and accuracy across departments.</li><li>Analyse data to identify areas for automation and cost reduction.</li><li>Support staff with AI-related troubleshooting and process documentation.</li></ul>Requirements<ul><li>Strong understanding of AI tools and automation platforms (OpenAI API, Voiceflow, Zapier, Make, etc.).</li><li>Basic coding knowledge in Python or JavaScript preferred.</li><li>Familiarity with image generation, natural language processing, and prompt engineering.</li><li>Excellent problem-solving and communication skills.</li><li>Strong attention to detail and ability to work independently.</li><li>Prior experience in e-commerce or digital workflow automation is a plus.</li></ul>Job Types: Full-time, Part-timePay: &#8377;10,000.00 - &#8377;18,000.00 per monthExpected hours: 40 per weekWork Location: In person

Artificial Intelligence and Machine Learning

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