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senior ai engineer

PARADIGM DIGITAL SOLUTIONS

We&rsquo;re looking for an &quot;AI Engineer&quot; who can build powerful, end-to-end AI systems from intelligent call agents to full automation pipelines.Job Responsibilities:<ul><li>Build &amp; deploy AI call agents (voice + video)</li><li>Create n8n workflows for AI orchestration</li><li>Develop &amp; fine-tune custom AI/ML models</li><li>Build RAG pipelines &amp; knowledge bases</li><li>Integrate AI agents with CRMs (HubSpot, Salesforce, custom)</li><li>Develop video-interactive AI agents (D-ID, Synthesia)</li><li>Work with vector DBs (Pinecone, FAISS, Weaviate)</li><li>Deploy models on AWS / GCP / Azure</li></ul>Must Be Strong In:<ul><li>Python for model training, data pipelines, LLM integration</li><li>STT, TTS, embeddings, LangChain, FastAPI</li><li>AI automation + real-world system integrations</li></ul>You&rsquo;re a Great Fit If:<ul><li>You love building AI systems that talk, reason &amp; take action</li><li>You move fast, prototype quickly &amp; solve real problems</li><li>You enjoy working with multimodal AI (voice, video, text)</li></ul>Apply now at hr@paradigmdigitals.comJob Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthWork Location: In person

Senior AI 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>
As a Senior AI Agent Engineer at Beam, you will play a key role in delivering enterprise-grade AI automations tailored to real business processes. You&rsquo;ll work directly with clients to understand their requirements, break down complex workflows, and design prompt-driven agents that solve high-impact problems. You'll also support integration efforts with client systems and ensure smooth delivery from concept to deployment.
We&rsquo;re looking for someone who thrives in a hands-on, fast-moving environment, with a strong technical foundation, programming skills, a process-oriented mindset, and a passion for AI. You should feel confident working with APIs, designing robust automations, and collaborating across teams to turn business needs into working solutions. If you enjoy working across clients, technology, and automation, and want to build things that work in the real world, this is the role for you.<h3 class="jobSectionHeader">
Responsibilities</h3>
Your work will involve both prompt engineering excellence and close customer collaboration. You will be expected to:<ul>
<li>
Drive the entire lifecycle of AI automation deployment, from understanding customer requirements, through solution design, to hands-on implementation using our no-code Agent OS.</li>
<li>Engage directly with customers across technical and executive teams, helping them discover automation opportunities and building AI solutions that improve their operations.</li>
<li>Collaborate closely with product, engineering, and solutions teams to scope, define, and implement new features based on real customer needs.</li>
<li>Design agentic automations and engineer prompts that are scalable, efficient, and integrate smoothly into customer workflows.</li>
<li>Stay up to date with the latest advancements in AI and apply them to solve critical business problems and drive new features that impact the future of Beam's AI platform.</li>
<li>Troubleshoot technical issues and provide guidance to both customers and internal teams throughout the implementation process.</li>
<li>Act as a strategic technical partner, advising customers on best practices, helping them adopt AI agents, and identifying opportunities for deeper integration.</li>
<li>Work with client-side and internal technical teams to scope and manage API-based integrations.</li>
<li>Provide structured feedback from real use cases to help improve our platform.</li>
</ul>
Requirements<ul>
<li>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, AI, or a related technical field.</li>
<li>At least 5 years of experience in roles like Solution Engineering, IT Consulting, Implementation or Deployment Engineering.</li>
<li>Strong hands-on experience with prompt engineering, including writing, testing, and optimizing prompts in a structured way.</li>
<li>Programming skills, especially in Python or Node.js.</li>
<li>Solid understanding of APIs and how to use them to integrate external systems.</li>
<li>Project management experience, able to manage delivery timelines and client expectations.</li>
<li>Experience engaging directly with clients, especially around requirement gathering and solution delivery.</li>
<li>Analytical and process-driven mindset, able to break down business workflows and think structurally.</li>
<li>Excellent communication skills, with the ability to clearly explain technical concepts.</li>
<li>Passion for staying up to date with AI trends, tools, and industry developments.</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.
Our culture is shaped by our values in action:<ul>
<li>
AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn&rsquo;t just what we build, it's how we operate.</li>
<li>Customer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.</li>
<li>Speed as a habit: We ship fast, learn faster, and prioritise unblocking over perfection. We favour small experiments with tight feedback loops.</li>
<li>Leverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.</li>
<li>Highly aligned, loosely coupled: We align on outcomes, not tasks. You&rsquo;ll work independently, but never in isolation.</li>
<li>Data-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow together.</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>

Senior AI Agent 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

SOC Solutions LLC

Botmer International is Hiring: Senior QA Engineer (12 PM to 9 PM PKT)Botmer International is expanding, and we are looking for a skilled Senior QA Engineer to lead quality assurance across our AI, mobile, and web projects. This role requires someone who takes ownership, communicates clearly, and ensures every release meets high standards.Position: Senior QA EngineerTiming: 12 PM to 9 PM PKT (US overlap) Location: Karachi (On-site)Responsibilities<ul><li>Lead QA efforts across multiple ongoing projects.</li><li>Create and execute test plans, test cases, and automated test scripts.</li><li>Perform functional, regression, integration, and performance testing.</li><li>Identify bugs, document clearly, and follow through until resolution.</li><li>Collaborate closely with engineering, product, and design teams.</li><li>Improve QA processes, automation, and overall product stability.</li></ul>Requirements<ul><li>Minimum 3 years of QA experience (manual and automation).</li><li>Strong understanding of SDLC, STLC, and QA best practices.</li><li>Hands-on experience with Selenium, Postman, JIRA, JMeter, or similar tools.</li><li>Ability to write clear test documentation and bug reports.</li><li>Strong communication skills and ownership mindset.</li><li>Experience in a fast-paced software agency or product environment is a plus.</li></ul>Preferred Skills<ul><li>API testing</li><li>Mobile app testing</li><li>Automation frameworks (Cypress, Playwright, Selenium)</li><li>CI/CD familiarity</li></ul>What We Offer<ul><li>Competitive salary based on experience</li><li>Opportunity to work with global clients</li><li>Fast-paced environment with growth potential</li><li>Work alongside AI, product, and engineering teams</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthApplication Question(s):<ul><li>Can you join immediately?</li><li>What is your expected salary for this role? We're currently offering between 100K to 150K PKR per month based on expertise and years of experience.</li></ul>Experience:<ul><li>Software Quality Assurance Testing: 3 years (Required)</li></ul>Work Location: In person

Software Quality Assurance Engineer

Location: Karachi, Pakistan (On-site) Timing: 11 AM &ndash; 8 PM (Mon&ndash;Fri) Company: Botmer InternationalWe&rsquo;re looking for an experienced Principal Software Engineer (Clouds) to lead cloud architecture, infrastructure automation, and large-scale deployment systems across our AI-driven software products.Responsibilities<ul><li>Architect and maintain scalable cloud infrastructure (AWS, GCP, or Azure)</li><li>Lead and mentor a team of senior engineers</li><li>Design CI/CD pipelines, monitoring, and disaster recovery solutions</li><li>Ensure cloud cost optimization and performance efficiency</li><li>Collaborate closely with AI and full-stack teams on system integration</li></ul>Requirements<ul><li>8+ years of software engineering experience, with at least 3+ years in cloud-focused roles</li><li>Strong command of AWS, Docker, Kubernetes, Terraform, and CI/CD tools</li><li>Proficient in backend programming (Python, Node.js, or Go)</li><li>Experience with microservices, APIs, and security best practices</li><li>Leadership experience managing or mentoring technical teams</li></ul>Perks<ul><li>Competitive market salary</li><li>Collaborative and fast-paced startup culture</li><li>Opportunity to work on cutting-edge AI and automation projects</li></ul>Job Type: Full-timePay: Rs350,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>What is your expected Salary for this Role?</li></ul>Experience:<ul><li>Software Development: 5 years (Required)</li><li>DevOps: 5 years (Required)</li></ul>Work Location: In person

Principal Software Engineer

Bhayani Securities Pvt. Ltd.

About BSLBhayani Securities (BSL) is one of the most established brokerage houses on the Pakistan Stock Exchange. We&rsquo;re currently rebuilding our technology stack as a tech-first brokerage, with in-house engineering, modern platforms, and heavy use of AI tooling in our workflow.Role SummaryWe are hiring a Senior Full-Stack Engineer. This is a senior, individual-contributor role with architectural responsibility: you will define the technical direction, make key trade-offs, and deliver robust, production-grade systems.Key ResponsibilitiesEnd-to-end application development<ul><li>Design and build multi-surface applications (web, mobile, desktop) for client and internal use.</li><li>Implement and maintain back-end services in Node.js with PostgreSQL as the primary database.</li><li>Build modern front-end interfaces with React, based on Figma designs from the UI team.</li><li>Translate product requirements into clear technical tasks and ship features in small, reliable increments.</li></ul>Systems architecture &amp; integration<ul><li>Design application architecture suitable for real-time, data-heavy financial workflows and multi-user environments.</li><li>Define and maintain clean API contracts between applications and the OMS / market-data systems, working with the existing FIX/OMS development team.</li><li>Ensure the system design supports future extensions (new modules, analytics features, additional channels) without rewrites.</li></ul>On-prem infrastructure &amp; DevOps<ul><li>Deploy, run, and monitor applications on local, in-office servers (Linux-based).</li><li>Set up and maintain CI/CD pipelines, automated testing, and repeatable deployments.</li><li>Configure and manage PostgreSQL in production: schema design, indexing, migrations, backups, and recovery drills.</li><li>Implement logging, metrics, and alerting so issues can be detected and diagnosed quickly.</li><li>Handle releases, environment configuration, and versioning across web, mobile, and desktop builds.</li></ul>UI implementation &amp; collaboration<ul><li>Work closely with the design team: consume Figma files, give practical feedback, and implement pixel-accurate, responsive UIs.</li><li>Ensure good UX under realistic constraints: latency, bandwidth, hardware limitations, and real user behaviour in a brokerage context.</li></ul>AI-enabled engineering &amp; internal tools<ul><li>Use AI coding tools (e.g. ChatGPT, Cursor, GitHub Copilot) as a core part of your workflow to speed up development without compromising quality.</li><li>Design and build customer-facing features and tools powered by LLM APIs (e.g. OpenAI) inside our web, mobile, and desktop products.</li></ul>Lifecycle ownership<ul><li>Own your code in production: debugging, performance tuning, and iterative improvement.</li><li>Plan and execute refactors when necessary to keep the codebase maintainable.</li><li>Maintain technical documentation that&rsquo;s concise and actually useful.</li></ul>Required Skills &amp; ExperienceCore engineering<ul><li>6+ years of professional experience as a full-stack engineer building production systems end-to-end.</li><li>Strong command of Node.js for backend development.</li><li>Strong command of React for front-end development (hooks, state management, routing, forms).</li><li>Solid experience with PostgreSQL: schema design, query optimisation, indexing, migrations.</li><li>Experience building data-intensive, multi-user applications with a focus on correctness and reliability.</li></ul>Platforms &amp; deployment<ul><li>Experience delivering web applications in production using React + Node.js back-ends.</li><li>Experience building and shipping mobile applications (preferably with React Native, including App Store / Play Store releases).</li><li>Experience packaging applications for Windows desktop users.</li><li>Comfortable working with Linux servers, networking basics, reverse proxies, and SSL/TLS.</li><li>Hands-on experience setting up CI/CD pipelines and automated testing for both front-end and back-end code.</li><li>Experience implementing secure authentication, authorization, and basic application security best-practices.</li></ul>AI &amp; automation<ul><li>Daily, practical use of AI coding tools (ChatGPT, Cursor, Copilot, etc.) as part of your engineering process.</li></ul>Way of working<ul><li>Able to work independently with high ownership: take a high-level requirement from the founder and drive it to production without micro-management.</li><li>Comfortable operating in a founder-led environment where priorities can shift and we iterate quickly.</li><li>Clear, concise communication in writing and in person; able to keep non-engineering stakeholders updated without over-explaining.</li></ul>Nice to Have(Not required, but a strong plus.)<ul><li>Experience in brokerage, trading, market data, or fintech systems.</li><li>Experience with on-premises deployments in regulated or security-sensitive environments.</li><li>Experience optimising systems for low latency and high-throughput event streams.</li></ul>Job Type: Full-timePay: From Rs300,000.00 per monthWork Location: In person

Senior Full-Stack Engineer / Architect

Utopia Fulfillment

Electronics Engineer &ndash; Senior Executive (Robotics &amp; Automation)Location: Utopia Deals Department: R&amp;D / Robotics &amp; Automation Position Type: Full-Time &ndash; Senior ExecutiveRole OverviewThe Electronics Engineer (Sr. Executive) will play a key role in automation, robotics development, machine troubleshooting, and reverse engineering of electrical/electronic systems. The ideal candidate must demonstrate strong robotics skills, hands-on knowledge of sensors/actuators, and the ability to innovate through hardware design. Preference will be given to candidates with an impressive final-year project in automation or robotics.Key Responsibilities<ul><li>Design, develop, and troubleshoot robotic systems, automation modules, and mechatronic assemblies.</li><li>Work on electronics circuit design, PCB development, embedded systems, sensors, and microcontrollers.</li><li>Perform reverse engineering of equipment, components, and electronic circuits to improve or replicate functionality.</li><li>Integrate motors, PLCs, controllers, and communication modules for automated systems.</li><li>Develop test setups, prototypes, and custom tools for engineering teams.</li><li>Work with programming engineers for hardware&ndash;software integration.</li><li>Support maintenance and manufacturing teams in diagnosing electronic hardware faults.</li><li>Prepare technical documentation including wiring diagrams, BOMs, and testing reports.</li></ul>Required Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s degree in Electronics Engineering, Mechatronics, Electrical Engineering, or related field.</li><li>Proven skills and experience in robotics, automation, and microcontroller programming (Arduino, STM32, ESP32, etc.).</li><li>Strong understanding of sensors, actuators, motor drivers, and communication protocols (UART, SPI, I2C, CAN, Modbus).</li><li>Hands-on skills in reverse engineering of circuits and equipment.</li><li>Ability to design basic PCBs and use tools like Altium, Eagle, or KiCad.</li><li>Strong analytical and troubleshooting abilities.</li></ul>Preferred Qualifications<ul><li>Final-year project demonstrating automation, robotic arm development, autonomous systems, or control applications.</li><li>Experience in industrial automation, PLCs, or robotic integration.</li><li>Knowledge of machine vision, AI-based robotics, or ROS (Robot Operating System) is a plus.</li></ul>Share your resumes at ahmed.mazhar@utopiadeals.com CC: hafeez.ullah@utopiadeals.comJob Type: Full-timeWork Location: In person

Electronics Engineer – Senior Executive (Robotics & Automation)

Explore 749+ Senior ai engineer in Karachi Pakistan this December. Find roles across top companies and apply now to boost your career.