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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)

Darosoft

Job SummaryWe are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.Key Responsibilities<ul><li>Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage</li><li>Build and maintain n8n workflows for AI-driven automation</li><li>Integrate AI agents with:</li><li>Internal systems (ERP, CRM, databases)</li><li>Third-party APIs and services</li><li>Develop LLM-powered solutions such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build and consume REST APIs for AI integrations</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document AI workflows, agent logic, and integrations</li></ul>Required Skills &amp; QualificationsExperience<ul><li>Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer</li></ul>Core Technical Skills<ul><li>Strong proficiency in Python</li><li>Experience with NumPy, Pandas, Scikit-learn</li><li>Solid understanding of data handling, statistics, and ML fundamentals</li></ul>AI, LLMs &amp; Agents<ul><li>Hands-on experience building AI agents</li><li>Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with RAG (Retrieval-Augmented Generation) pipelines</li><li>Familiarity with agent frameworks such as:</li><li>LangChain</li><li>LlamaIndex</li><li>or similar tools</li></ul>Automation &amp; Workflows<ul><li>Proven experience working with n8n workflow automation</li><li>Experience building:</li><li>Event-driven workflows</li><li>Webhook-based automations</li><li>Scheduled (cron) workflows</li><li>Ability to orchestrate workflows involving LLMs + APIs + databases</li></ul>APIs &amp; Backend<ul><li>Experience building and consuming REST APIs</li><li>Familiarity with FastAPI or Flask</li><li>Experience integrating AI systems with databases (SQL / NoSQL)</li></ul>Nice to Have (Plus Points)<ul><li>Experience with self-hosted n8n deployments</li><li>Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Experience with Docker and basic cloud deployments</li><li>Familiarity with MLOps concepts</li><li>Experience with Zapier / Make.com in addition to n8n</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical skills</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 new technologies</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

Aspire92

AI SpecialistJob Description: The AI Specialist is responsible for implementing, managing, and optimizing AI solutions, including large language models (LLMs), to support business operations, financial analysis, and educational tools. The role focuses on leveraging AI to generate insights, automate workflows, and enhance client and internal processes.Key Responsibilities:Implement, manage, and optimize AI models and tools, including LLMs, for projects and client solutions.Collaborate with IT and cross-functional teams to integrate AI solutions effectively.Analyze data sets (financial, educational, or operational) to generate actionable insights.Develop AI-driven workflows, predictive models, and automation solutions.Stay updated on emerging AI technologies and best practices.Provide guidance, documentation, and training on AI solutions to internal teams.Maintain accurate records of AI models, experiments, and project outcomes.Requirements &amp; Qualifications:Degree in Computer Science, Data Science, Artificial Intelligence, Finance, Education, or a related field preferred.Proven experience with AI software, machine learning models, and LLMs.Familiarity with AI platforms and tools (e.g., OpenAI, Azure AI, TensorFlow, PyTorch).Experience in financial or educational environments is a plus.Strong analytical and problem-solving skills.Excellent English communication and collaboration skills.Proficiency in Microsoft Office Suite and data visualization tools (Power BI, Tableau, or similar).Comfortable working in virtual and cloud-based environments.Job Type: Full-timeWork Location: Remote

AI Consultant

Quanrio LLP

Location: Karachi, Pakistan Experience Required: Minimum 1.5 yearsJob Description: We are seeking a passionate and skilled AI Engineer to join our team in Karachi. The ideal candidate will have at least 1.5 years of hands‑on experience in deploying and fine‑tuning open‑source Sovereign Large Language Models (LLMs). You will be responsible for building, optimizing, and scaling AI solutions, ensuring secure and efficient deployment of LLMs, and collaborating with cross‑functional teams to integrate advanced AI capabilities into our products.Key Responsibilities<ul><li>Deploy, configure, and manage open‑source Sovereign LLMs in production environments.</li><li>Fine‑tune LLMs for domain‑specific tasks such as text generation, summarization, and Q&amp;A.</li><li>Collaborate with data scientists and backend engineers to integrate AI models into applications.</li><li>Optimize model performance, latency, and scalability.</li><li>Ensure compliance with data privacy and security standards in AI deployments.</li><li>Conduct experiments, evaluate models, and document results for continuous improvement.</li><li>Stay updated with the latest advancements in AI/ML and open‑source LLM ecosystems.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Minimum 1.5 years of professional experience in AI/ML engineering.</li><li>Hands‑on experience with open‑source LLM frameworks such as Hugging Face Transformers, LangChain, RAG pipelines, or similar.</li><li>Strong proficiency in Python and ML libraries (PyTorch, TensorFlow).</li><li>Experience with fine‑tuning techniques (LoRA, PEFT, parameter‑efficient training).</li><li>Familiarity with vector databases (Pinecone, Weaviate, FAISS) for retrieval‑augmented generation.</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools like Docker/Kubernetes.</li><li>Understanding of MLOps practices, CI/CD pipelines, and model monitoring.</li><li>Strong problem‑solving skills and ability to work in collaborative teams.</li></ul>Job type: Full timeJob Type: Full-timePay: Rs150,000.00 - Rs180,000.00 per monthWork Location: In person

AI Engineer

Idenfo

<div>
 
 Location:
 
 Karachi, Pakistan &ndash; DHA Phase 6
 
 
 
 Experience:
 
 2&ndash;3 years
 
 
 
 About The Role
 
 
 
 Idenfo is a RegTech product company operating in the AML/KYC space. We are looking for a
 
 Data Analyst &ndash; AI &amp; Automation
 
 to join our team, where data, automation, and applied AI directly impact product performance and client outcomes.
 
 
 This is a
 
 core product-facing data role
 
 , working closely with
 
 Development, SQA, DevOps, and Product teams
 
 . You will own data analytics, automation workflows, and innovation initiatives that improve efficiency, accuracy, and intelligence across operations.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Automation &amp; Pipelines
 
 
 
 <ul>
 <li>
 Build and maintain automated data pipelines for ingestion, transformation, validation, and reconciliation
 </li>
 <li>
 Implement data quality checks, delta comparisons, and monitoring mechanisms
 </li>
 <li>
 Reduce manual effort through Python-based automation
 
 
 
 </li>
 </ul>
 
 AI, NLP &amp; Innovation
 
 
 
 <ul>
 <li>
 Support and enhance AI-driven initiatives, including LLM-based tools, intelligent search, or chatbot-style solutions
 </li>
 <li>
 Work with RAG-based workflows, NLP pipelines, or rule-enhanced AI systems relevant to AML use cases
 </li>
 <li>
 Continuously explore emerging data and AI technologies and propose practical implementations
 
 
 
 </li>
 </ul>
 
 Database &amp; Performance Optimization
 
 
 
 <ul>
 <li>
 Write, optimize, and maintain complex SQL queries for analytics and operational use
 </li>
 <li>
 Improve database structures and query performance in collaboration with the development team
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Developers, SQA, and DevOps to ensure data reliability across environments
 </li>
 <li>
 Collaborate with Compliance and Product teams to translate regulatory and business requirements into data solutions
 </li>
 <li>
 Present insights and recommendations to senior management and leadership
 
 
 
 </li>
 </ul>
 
 Data Analytics &amp; Reporting
 
 
 
 <ul>
 <li>
 Design, develop, and maintain dashboards for Name Screening metrics
 </li>
 <li>
 Deliver actionable insights from large operational and compliance datasets
 </li>
 <li>
 Support internal stakeholders with ad-hoc analysis, trends, and performance reporting
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2&ndash;3 years of experience as a Data Analyst or similar role in a tech product company
 </li>
 <li>
 Strong hands-on expertise in Python (data analysis, scripting, automation)
 </li>
 <li>
 Advanced SQL skills (joins, performance tuning, query optimization)
 </li>
 <li>
 Proven experience with Power BI (dashboards, data modeling, DAX basics)
 </li>
 <li>
 Solid understanding of data cleaning, wrangling, and transformation
 </li>
 <li>
 Experience working with production data systems in collaboration with Dev teams
 
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Exposure to AML, KYC, FinTech, or RegTech data
 </li>
 <li>
 Experience with web scraping and handling unstructured datasets
 </li>
 <li>
 Familiarity with LLMs, NLP frameworks, LangChain, or RAG-based systems
 </li>
 <li>
 Experience using Git / Bitbucket in collaborative environments
 </li>
 <li>
 Background in Computer Science, or Data Science
 
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Someone who owns problems end-to-end, not just reports numbers
 </li>
 <li>
 Strong analytical thinking with a bias toward automation and efficiency
 </li>
 <li>
 Comfortable working in a product-based tech environment
 </li>
 <li>
 Able to communicate clearly with both technical and non-technical stakeholders
 </li>
 <li>
 Curious, proactive, and continuously improving their skill set
 
 
 
 </li>
 </ul>
 
 Why Join Idenfo
 
 
 
 <ul>
 <li>
 Work on real-world AML/KYC problems used by global clients
 </li>
 <li>
 High-impact role with direct visibility and ownership
 </li>
 <li>
 Exposure to AI, automation, and scalable data systems
 </li>
 <li>
 Collaborative culture with Development, SQA, and DevOps teams
 </li>
 <li>
 Flexible, hybrid-friendly work setup
 
 </li>
 </ul>
</div>

Data Analyst – AI & Automation

Shiwantek

About UsShiwantek is a dynamic and rapidly growing tech company based in Clifton, Karachi. We specialize in delivering high-quality software and AI-driven solutions across multiple domains. With a strong focus on innovation, quality, and customer satisfaction, we are expanding our team and seeking passionate professionals who thrive in a fast-paced and evolving environment.Job OverviewWe are hiring an enthusiastic and experienced Upwork Bidder to join our Business Development team. This onsite role is ideal for someone who understands AI services, can engage clients effectively, and can submit compelling proposals related to AI development, machine learning, automation, chatbots, and LLM-based solutions. The ideal candidate should be proactive and able to help strengthen our presence on Upwork and other freelancing platforms.Key Responsibilities<ul><li>Actively search and bid on AI-related projects on Upwork and other freelancing platforms.</li><li>Write tailored, high-quality proposals and cover letters based on client requirements.</li><li>Basic Understanding of AI services, including:</li><li>Custom AI/ML model development</li><li>LLM-based applications (ChatGPT, fine-tuning, AI agents)</li><li>Computer vision</li><li>AI automation &amp; workflow optimization</li><li>Data analysis &amp; predictive modeling</li><li>Communicate professionally with potential clients to clarify needs and present solutions.</li><li>Schedule and conduct meetings with clients when required.</li><li>Maintain detailed records of bids, responses, conversions, and follow-ups.</li><li>Coordinate with the AI development team to ensure project feasibility, timelines, and accurate proposal breakdowns.</li></ul>Requirements<ul><li>Prior experience in Upwork bidding, preferably in the AI/tech category.</li><li>Strong written and verbal English communication skills.</li><li>Good understanding of AI, machine learning concepts, automation tools, and IT services.</li><li>Ability to analyze project requirements and craft winning proposals.</li><li>Strong sense of responsibility, independence, and target-orientation.</li><li>Must be punctual, organized, and disciplined with time management.</li></ul>Job Type: Full-timePay: Rs90,000.00 - Rs150,000.00 per monthWork Location: In person

UPWORK SALES SPECIALIST (AI)

LeadNexis

Seeking a Full Stack Developer (5+ years experience ) with deep expertise in Node.js, Python, and JavaScript to design, develop, and deploy advanced AI-powered chat systems, agentic workflows, multi-agent architectures, and retrieval systems across Azure and modern environments (e.g., Vercel).The ideal candidate is not only strong in full-stack engineering but is also fluent in AI engineering workflows, including the use of AI-assisted coding tools, modern IDEs, and frameworks for RAG pipelines, MCP-based systems, tool calling, and orchestration.You will build robust AI agents, retrieval systems, and scalable dashboards with an emphasis on security, compliance, and enterprise-grade performance.Key ResponsibilitiesDevelop AI-driven ingestion, retrieval, and summarization pipelines using Azure Functions, Durable Functions, Logic Apps, Cosmos DB, and Azure AI SearchDesign and deploy RAG pipelines, multi-vector search, embeddings workflows, and retrieval-augmented routingBuild agentic systems using frameworks such as LangChain, Semantic Kernel, AutoGen, MCPs, tool-calling architectures, and multi-agent orchestrationImplement AI-assisted development workflows using tools like GitHub Copilot, Cursor, VS Code AI extensions, Azure AI Studio tools, etc.Integrate LLMs (GPT5, Azure OpenAI, Claude, etc.), external APIs, and internal data sources into unified systemsDevelop secure and responsive dashboards using React / Next.js, including full authentication and RBAC via Entra ID / Azure ADContainerize applications and automate deployments using Docker, GitHub Actions, and CI/CD pipelinesImplement full traceability: citations, feedback loops, evaluation pipelines, logging, and monitoringWork closely with cross-functional teams to define system requirements, architecture, and compliance standardsCore SkillsAI &amp; Agent EngineeringStrong expertise in designing RAG systems, embedding pipelines, vector stores, and hybrid searchExperience with MCP (Model Context Protocol) workflows, tool calling, and agent-to-agent communicationProficient in AI agent frameworks: LangChain, Semantic Kernel, AutoGen, Microsoft MA framework, or equivalentSkilled in using AI coding copilots &amp; AI-powered IDEs (Cursor, GitHub Copilot, VS Code AI tools, etc.)Full Stack Engineering5+ years in Node.js, JavaScript/TypeScript, PythonFrontend frameworks: React, Next.jsBackend services: REST APIs, messaging, event-driven architecturesAzure CloudAzure Functions, Logic Apps, Durable FunctionsCosmos DB, Azure AI Search, Blob Storage, Key VaultAzure App Service, Azure Container Apps, API ManagementDevOps &amp; SecurityDocker, GitHub Actions, automated CI/CD pipelinesEntra ID / Azure AD for identity and access managementStrong understanding of secure coding and enterprise security protocolsJob Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>Full Stack Development (React, Next.js): 3 years (Preferred)</li></ul>Work Location: In person

Full Stack Developer (AI/LLM/RAG) Azure Web App

Explore 359+ Ai engineer llms agents automation in Karachi this January. Find roles across top companies and apply now to boost your career.