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ai engineer llms agents automation

Expertizo

About the RoleWe are looking for a hands-on AI Engineer with strong experience in LLMs, AI agents, and workflow automation. This role focuses on building AI-driven systems, agents, and business automations, not training ML models from scratch.You&rsquo;ll design intelligent agents, orchestrate workflows using n8n, flowise, langchain, or langGraph, and integrate AI into real-world business applications.Key Responsibilities<ul><li>Design, build, and deploy AI agents capable of reasoning, decision-making, and tool usage</li><li>Develop and maintain n8n workflows for AI-driven automation</li><li>Build LLM-powered applications such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build RAG (Retrieval-Augmented Generation) pipelines</li><li>Integrate AI systems with:</li><li>Internal tools (CRM, ERP, databases)</li><li>Third-party APIs and services</li><li>Develop and consume REST APIs using FastAPI or Flask</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document workflows, agent logic, and integrations</li></ul>Required Skills &amp; Experience<ul><li>1+ years of professional experience as an AI Engineer, GenAI Engineer, or Automation Engineer</li><li>Strong proficiency in Python</li><li>Good understanding of data handling and ML fundamentals</li><li>Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with AI agent frameworks, such as:</li><li>LangChain, LangGraph, LangBase</li><li>LlamaIndex</li><li>Proven experience with n8n workflow automation, including:</li><li>Webhooks</li><li>Event-driven workflows</li><li>Cron-based workflows</li><li>Experience integrating APIs, databases (SQL / NoSQL), and AI services</li><li>Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Self-hosted n8n deployments</li><li>Familiarity with Docker and basic cloud deployments</li><li>Experience with Zapier or Make.com</li></ul>Nice to Have<ul><li>Understanding of MLOps concepts</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn</li></ul>Location: Onsite Job Type: Full-timeJob Type: Full-timePay: Up to Rs1,200,000.00 per yearApplication Question(s):<ul><li>What is your current &amp; expected salary? Failing to address this question will result in rejection.</li></ul>Experience:<ul><li>AI Engineer: 1 year (Required)</li></ul>Work Location: In person

AI Engineer (LLMs, Agents & Automation)

One Click Solution

We are seeking a skilled AI &amp; Automation Engineer to develop, manage, optimize, and scale small and medium AI agents, while designing and maintaining automation workflows. This role requires hands-on expertise with Python, no-code/low-code platforms (Make.com, n8n, Zapier), and AI agent deployment.Shift: 10 am to 6 pm (Monday to Saturday)Key Responsibilities<ul><li>Deploy, manage, and maintain multiple AI agents for internal and external purposes.</li><li>Design, implement, and optimize automation workflows using Python and no-code platforms.</li><li>Integrate AI agents with existing systems to improve efficiency and scalability.</li><li>Monitor agent performance, troubleshoot issues, and optimize workflows for reliability and speed.</li><li>Document all AI agent setups, workflow automations, and processes for future reference.</li><li>Collaborate with teams to identify automation opportunities and implement AI-driven solutions.</li><li>Stay updated on AI tools, automation trends, and emerging technologies to suggest improvements.</li></ul>Required Skill/Qualification<ul><li>Proficiency in Python scripting for automation tasks.</li><li>Experience with no-code/low-code workflow and agentic platforms platforms(Make.com, n8n, Zapier, Dialogflow, Rasa, GPT-based agents, etc.).</li><li>Ability to manage multiple AI agents simultaneously.</li><li>Familiarity with APIs and system integrations.</li><li>Strong problem-solving, analytical skills, and attention to detail.</li></ul>Preferred<ul><li>Experience in scaling AI agents to handle multiple simultaneous tasks.</li><li>Knowledge of conversational AI and NLP basics (for handling text and voice-based automation).</li><li>Ability to train and document AI agents for business workflows.</li></ul>ExperienceMid-Level: 1-2 years of relevant experience in AI tools, automation workflows, and Python/no-code platforms.Job Type: Full-timeWork Location: In person

AI Automation Engineer

Network Squad

About the RoleWe are looking for a skilled and forward-thinking AI Agent &amp; Automation Engineer to join our growing technology team. The ideal candidate will be responsible for designing, developing, and integrating AI-driven solutions that improve business efficiency, automate processes, and enhance system intelligence.This role requires hands-on experience with AI agents, workflow automation, API integrations, and system optimization.Key Responsibilities<ul><li>Design and deploy AI agents for business operations and customer interactions</li><li>Develop AI-driven automation workflows to streamline internal processes</li><li>Integrate AI solutions with existing systems (CRM, ERP, cloud platforms, APIs)</li><li>Build and maintain AI-powered chatbots and virtual assistants</li><li>Monitor, test, and optimize AI performance and reliability</li><li>Collaborate with IT, operations, and business teams to identify automation opportunities</li><li>Ensure security, compliance, and scalability of AI implementations</li></ul>Required Skills &amp; Experience<ul><li>Proven experience in AI development, automation, or system integration</li><li>Strong knowledge of Python or similar programming languages</li><li>Experience with AI APIs and large language models</li><li>Hands-on experience with automation tools and workflow platforms</li><li>Experience with REST APIs and third-party integrations</li><li>Understanding of cloud platforms (AWS, Azure, or GCP)</li><li>Strong problem-solving and analytical skills</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to start immediately? If not, what is your notice period?</li><li>Where are you located?</li><li>Do you have any disabilities or medical issues that we should be aware of?</li><li>What is your current salary package?</li><li>Describe your experience with Ai Agent</li></ul>Work Location: In person

AI Agent & Automation Engineer

Job Status: Full Time OnsiteWorking Shift: Evening ShiftLocation: Shahrah e Faisal, KarachiJob Summary:Ideal candidate possesses deep expertise in enterprise software architecture, microservices, and cloud-native development, along with emerging AI and automation technologies. Candidate will collaborate with cross-functional teams to implement architectural best practices, resolve scalability challenges, and integrate AI-driven capabilities into modern SaaS platforms.Key Responsibilities:Define the architectural vision and roadmap, ensuring alignment with business goals and product strategy.Design and evolve scalable, secure, and reliable enterprise systems leveraging microservices, event-driven, and cloud-native architectures.Lead adoption of AI/ML-based components within applications, including intelligent automation, recommendation systems, and agentic frameworks.Evaluate emerging technologies (e.g., LLMs, vector databases, AI orchestration tools) and define integration strategies where relevant.Collaborate with development teams to identify performance bottlenecks, improve resiliency, and optimize system design.Maintain living documentation of architecture decisions, design standards, andreusable frameworks.Conduct technical workshops and mentoring sessions to elevate team capability in scalable system and AI architectural design.Oversee code reviews, security assessments, and ensure adherence to best practices.Partner with product and data science teams to define data pipelines, model integration points, and AI governance standards.Participate in project planning, resource estimation, and technical risk assessments.Drive a culture of continuous improvement and technical excellence across teams.Manage and mentor developers, setting goals, conducting appraisals, and tracking progress on deliverables.Implement and maintain the enterprise architecture framework, ensuring systemconsistency and reusability across products.Requirements:Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field; Master&rsquo;s preferred.10+ years of hands-on software development and software architecture experience.Proven expertise in Java, Spring Cloud, Hibernate/JPA, and modern web frameworks.Solid understanding of microservices, monolithic, and serverless architectural patterns.Experience designing cloud solutions (Azure, AWS, or GCP) with strong CI/CD and DevSecOps practices.Hands-on experience with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, OpenAI APIs).Familiarity with vector databases (Pinecone, Weaviate, PostgreSQL pgvector) and AI agents or orchestration frameworks.Working knowledge of data engineering and data pipeline architectures for AI integration.Job Type: Full-timeWork Location: In person

Architect - Software Solutions (Onsite Karachi)

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

Tribe Consulting

Internship On-siteWe are hiring AI Automation Interns who are eager to work with modern agentic AI systems, automation tools, and AI-powered workflows used in real-world business applications.This internship is designed for individuals who have basic familiarity with AI tools and automation platforms and want hands-on exposure to building, testing, and supporting AI-driven systems in production environments.Interns will work closely with senior team members and contribute to live projects involving AI automations, voice agents, chatbots, and workflow integrations.Key Responsibilities<ul><li>Assist in building and maintaining AI automation workflows</li><li>Support development of agentic AI systems for internal and client use</li><li>Work with no-code / low-code automation tools (e.g., workflow builders)</li><li>Help configure AI voice agents, chatbots, and messaging flows</li><li>Assist with API connections, webhooks, and basic integrations</li><li>Test workflows, identify issues, and report bugs clearly</li><li>Help document processes and workflows</li><li>Learn best practices for scalable and reliable automation systems</li></ul>Required Skills &amp; Knowledge<ul><li>Basic understanding of AI automation concepts</li><li>Familiarity with tools such as:</li><li>n8n or similar automation platforms</li><li>AI chatbots or conversational AI tools</li><li>AI voice agent platforms (basic knowledge is sufficient)</li><li>Understanding of workflows, triggers, and logic-based automation</li><li>Basic knowledge of APIs and webhooks (conceptual level is fine)</li><li>Comfortable working with web-based dashboards and editors</li><li>Willingness to learn and follow structured processes</li></ul>Preferred (Not Mandatory)<ul><li>Prior exposure to:</li><li>AI voice agents</li><li>Chatbots or CRM automation</li><li>Scheduling or booking systems</li><li>Basic understanding of prompt design</li><li>Interest in agentic AI and autonomous workflows</li><li>Familiarity with tools like Google Sheets or similar for data handling</li></ul>Who This Internship Is For<ul><li>Students or fresh graduates interested in AI automation</li><li>Individuals who have explored AI tools independently</li><li>Candidates looking for hands-on industry experience</li><li>Learners who can follow instructions and ask clear questions</li><li>Interns who want long-term growth in AI systems and automation</li></ul>What You Will Gain<ul><li>Practical experience working on real AI automation projects</li><li>Exposure to production-level AI systems</li><li>Mentorship from experienced professionals</li><li>Opportunity to grow into a long-term role based on performance</li><li>Experience with tools used in modern AI-driven businesses</li></ul>Work Schedule<ul><li>Internship hours will be discussed during the interview</li><li>Flexibility may be available depending on availability and project needs</li></ul>How to ApplyInterested candidates should apply through Indeed with an updated resume. Shortlisted applicants will be contacted for a brief interview.Job Types: Full-time, Part-timePay: Rs15,000.00 - Rs50,000.00 per monthApplication Question(s):<ul><li>Are you available to join immediately and comfortable working on-site at our office near PECHS / Bahadurabad, Karachi?</li></ul>Location:<ul><li>Karachi Gulshan-E-Iqbal (Required)</li></ul>Work Location: In person

AI Automation Intern (Agentic AI / No-Code Automation)

Sidat

Job Title: AI Product &amp; Tools Developer Location: Shahrah-e-Faisal Experience: 1.5-2 Years (Full-Stack background preferred)About the RoleWe are looking for a &quot;System Builder&quot; to bridge the gap between AI models and real-world software. As an AI Product &amp; Tools Developer, you will build Autonomous Agents that don't just talk, but act&mdash;executing tasks, connecting to call centers, and automating complex workflows. You will be the primary link between our AI intelligence and our existing MERN-stack infrastructure.Key Responsibilities<ul><li>AI Agent Frameworks: Build Multi-Agent systems that can use tools to perform business tasks autonomously.</li><li>Voice &amp; Call Center Integration: Connect AI brains to voice APIs (Vapi, Retell, or Twilio) for real-time AI phone agents.</li><li>Workflow Automation: Develop &quot;autonomous workers&quot; to handle data entry, CRM updates, and automated communication.</li><li>System Integration: Create the bridge between AI models and our existing MERN stack and internal dashboards.</li></ul>Technical Requirements<ul><li>Stack: Strong proficiency in Node.js (MERN stack) and Python.</li><li>Integration: Expert-level knowledge of LangChain, n8n, or Make.com.</li><li>APIs: Deep experience in REST APIs, Webhooks, and WebSockets for real-time data flow.</li><li>Deployment: Familiarity with Docker and cloud services (AWS or Azure).</li></ul>Job Type: Full-timeWork Location: In person

AI Product & Tools Developer

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