electrical engineer

chief engineer

civil engineer

planning engineer

project engineer

ai engineer

Tjara.ca

Job Title: Agentic AI EngineerLocation: Karachi, Pakistan/Remote (CET Hours) Job Type: Part-time onsite (hybrid) Department: Agentic AI Experience Level: Junior-Level (0-2 years) Nature: Contractual (3-months&rsquo; probation, 12-Months in total) (renewable)PCMCI Quantum is a global system integrator specializing in Aerospace, Artificial Intelligence, Embedded Systems, IoT, and Robotics, delivering customized, end-to-end solutions across Commercial and Defense sectors. We bridge requirements with technology to build secure, scalable, and intelligent systems that transform innovation into execution. With partnerships across North America, Europe, Asia, and the Middle East, PCMCI Quantum drives real-world impact through precision engineering and strategic integration.PCMCI Quantum is seeking an Agentic AI Engineer to design, develop, and deploy autonomous AI agents that enhance operational intelligence and automation for international business clients. You will work on multi-agent architecture, integrating large language models (LLMs) with enterprise systems to create adaptive, reasoning-based workflows. This position combines AI engineering and workflow automation, ideal for someone experienced in developing robust, scalable AI agent systems using automation platforms and custom Python frameworks, with a passion for delivering intelligent, production-grade solutions.Education:Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.Additional certification or training in AI, Automation Platforms (n8n, Make, Voiceflow) will be considered an asset.Key Responsibilities:Design and deploy AI agents and multi-agent systems that automate complex business workflows and enhance operational efficiency.Integrate AI systems with ERP, CRM, and HRM tools (e.g., Odoo, HubSpot, Zoho) using APIs, SDKs, and webhooks.Create and orchestrate automation workflows using n8n, Make, and Voiceflow, transitioning them into custom Python frameworks.Collaborate with cross-functional teams across AI, embedded systems, and software engineering to deliver cohesive solutions.Perform testing, versioning, and documentation to ensure scalability, reliability, and security.Contribute to PCMCI Quantum&rsquo;s Agentic AI framework and reusable agent architecture library.Essential Requirements:A. Programming FundamentalsStrong proficiency in Python (this is critical)Understanding of APIs, REST principles, and how to make API callsBasic knowledge of web frameworks (FastAPI or Flask)Familiarity with JSON, data structures, and working with external librariesExperience with Git and version controlB. AI &amp; Learning MindsetBasic understanding of how Large Language Models (LLMs) work (e.g., ChatGPT, Claude)Curiosity about AI agents, prompts, and automation conceptsWillingness to learn about LangChain, RAG systems, and vector databasesStrong problem-solving skills and ability to learn new technologies quicklyC. Integration &amp; Software EngineeringExperience working with APIs (calling, testing, handling responses)Understanding of how different software systems communicateBasic knowledge of data formats (JSON, CSV) and data processingComfortable reading documentation and implementing integrationsPreferred Experience (Nice to Have):V1.0.3.11.2025.DAAny hands-on experience with automation tools (Make, n8n, Zapier, or similar)Previous projects involving API integration or connecting different systemsExperience building chatbots, workflow automation, or AI-related projectsFamiliarity with cloud platforms (AWS, Google Cloud, Azure)Participation in hackathons, open-source contributions, or personal AI projectsUnderstanding of business processes or enterprise software systemsWhat We're Looking For:Strong learning ability and self-motivation to explore new technologiesProblem-solving mindset with attention to detailGood communication skills for collaborating with technical and non-technical team membersAbility to take feedback constructively and improve continuouslyPassion for AI and interest in building practical, real-world solutionsWhat We Offer:Mentorship &amp; Training: Learn from experienced AI engineers and grow your skills in agentic AI systemsHands-on experience with cutting-edge AI technologies and frameworksOpportunity to work on real projects for international clientsExposure to multi-agent systems, LLM orchestration, and enterprise integrationsCompetitive compensation package based on experienceHybrid work environment with flexible learning opportunitiesClear growth path from junior to mid-level AI engineerJob Type: Full-timeWork Location: In person

Agentic AI Engineer

Office Field

<div>
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Build end-to-end Generative AI pipelines using Python, LangChain, and LangGraph.
 </li>
 <li>
 Design and implement agentic systems with tools, memory, branching, and recovery flows.
 </li>
 <li>
 Develop robust RAG systems (document ingestion, embeddings, vector search, hybrid retrieval).
 </li>
 <li>
 Integrate LLMs with APIs, SQL/NoSQL databases, and cloud storage.
 </li>
 <li>
 Build and maintain production-grade microservices/APIs for LLM workloads.
 </li>
 <li>
 Optimize AI systems for latency, throughput, and cost (prompting, caching, batching).
 </li>
 <li>
 Fine-tune models using LoRA/QLoRA and PEFT techniques.
 </li>
 <li>
 Implement evaluation, monitoring, guardrails, and hallucination detection.
 </li>
 <li>
 Collaborate with cross-functional teams to translate workflows into AI-powered features.
 </li>
 <li>
 Mentor junior engineers and contribute to AI architecture and code quality.
 </li>
 </ul>
 
 
 
 
 
 Core Requirements
 
 
 
 
 
 <ul>
 <li>
 4+ years of experience as an AI Engineer.
 </li>
 <li>
 Expert-level Python and strong ML/NLP fundamentals.
 </li>
 <li>
 Hands-on experience with Transformers, embeddings, and model evaluation.
 </li>
 <li>
 Strong experience with LangChain and LangGraph for building LLM workflows.
 </li>
 <li>
 Production experience with OpenAI APIs and prompt engineering.
 </li>
 <li>
 Deep understanding of RAG systems and vector databases (Qdrant or similar).
 </li>
 <li>
 Experience with fine-tuning (LoRA/QLoRA), PEFT, and dataset preparation.
 </li>
 <li>
 Practical experience with AWS, Docker, CI/CD, and deploying GPU workloads.
 </li>
 <li>
 Familiarity with PyTorch (preferred) or TensorFlow.
 </li>
 <li>
 Experience integrating external/internal data sources and building scalable AI microservices.
 </li>
 <li>
 Strong communication, problem-solving skills, and ability to work in fast-paced environments.
 </li>
 </ul>
</div>

Senior Generative AI Engineer

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job? It's mandatory to be available on-site. No Freelance or Remote reource/online interviews &amp;assessment.</li></ul>Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

Sofstica

Key Responsibilities1. AI Agent Development: Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.2. Full-Stack Integration: Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.3. Deployment &amp; Scalability: Deploy and maintain AI models in production environments.4. Cross-Team Collaboration: Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.QualificationsTechnical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Mindset:<ul><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of relevant experience do you have?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Full stack - AI Engineer (1+ yrs experienced)

Conceptrecall

Key Responsibilities<ul><li>Train and improve object detection models (YOLO, Detectron2).</li><li>Prepare and manage datasets (real + synthetic).</li><li>Work with annotation teams for labeling accuracy.</li><li>Test model performance across different terrains (forest, desert, snow, rubble).</li><li>Optimize and deploy models for fast, real-time results.</li></ul>Required Skills<ul><li>Experience with YOLO, PyTorch/TensorFlow, and OpenCV.</li><li>Strong background in Computer Vision and Machine Learning.</li><li>Familiarity with annotation tools (CVAT, LabelImg, Roboflow).</li><li>Understanding of precision/recall, mAP, and model evaluation.</li></ul>Qualifications<ul><li>BS/MS in Computer Science, AI, Data Science, or related field.</li><li>2&ndash;5 years experience in AI/ML or Computer Vision.</li><li>Portfolio/GitHub showing object detection work.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Jorofy Private Limited

AI Automation Engineer (Entry-Level) at ENUMRequired Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in computer science, Software Engineering, Artificial Intelligence, or a related field.</li><li>1&ndash;2 years of professional experience (fresh graduates with strong technical foundations are encouraged to apply).</li><li>Solid understanding of AI/ML APIs such as OpenAI, Azure Cognitive Services, Google AI, or Hugging Face.</li><li>Proficiency or hands-on experience with any no-code / low-code tools like Power Automate, N8N, Nintex, Zapier.</li><li>Basic programming experience in at least one of the following:</li><li>Python (automation, AI APIs, scripting)</li><li>JavaScript / TypeScript (for N8N, Node.js-based workflows)</li><li>C# / .NET (enterprise and Microsoft integrations)</li><li>PowerShell / Bash (for system or cloud automations)</li><li>Understanding of RESTful APIs, Webhooks, and JSON-based integrations.</li><li>Familiarity with version control systems (Git/GitHub/GitLab).</li><li>Working knowledge of databases (SQL Server, PostgreSQL, or MongoDB).</li><li>Exposure to cloud environments (Azure Logic Apps, AWS Lambda, or Google Cloud Functions is a plus).</li><li>Strong understanding of prompt engineering and conversational design for chatbots.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Self-motivated with a continuous learning mindset.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

AI Automation Engineer (Entry-Level)

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

Explore 334+ Ai engineer in Karachi this December. Find roles across top companies and apply now to boost your career.