qa engineer

sales engineer

assistant o&m engineer

civil engineer

o&m assistant engineer

ai agent engineer

Beam AI

<div>Beam is building the operating layer for an AI-native future. Our platform helps teams from fast moving startups to Fortune 500s, automate entire workflows using self-learning agents that adapt in real time. By removing the drag of manual, repetitive work, we free people to focus on what actually needs human thinking. We&rsquo;re reimagining how operations scale, with clarity, speed, and intelligence at the core. 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></ul><ul>
<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

DK Digital Solutions

Job Summary:We are looking for a Mid-Level AI Automation Engineer to design, develop, and maintain automation workflows using n8n, Make.com, and custom API integrations. The ideal candidate will have strong experience in building intelligent automation systems using LLM models, REST APIs, WebSockets, and Webhooks to enhance process efficiency and data flow across multiple platforms.Key Responsibilities:<ul><li>Design, build, and optimize automation workflows using n8n, Make.com, and other low/no-code platforms.</li><li>Integrate and manage REST APIs between internal and third-party applications.</li><li>Implement AI-powered automation using LLMs (ChatGPT/OpenAI, Claude, Gemini, etc.) for content generation, chatbot development, and decision-making systems.</li><li>Utilize WebSockets and Webhooks for real-time data synchronization and event-driven processes.</li><li>Develop and maintain documentation for automation workflows, integrations, and systems.</li><li>Troubleshoot, debug, and optimize automation performance.</li><li>Collaborate with cross-functional teams (IT, operations, and product) to identify automation opportunities and improve workflows.</li><li>Ensure automation reliability, security, and scalability.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li>2&ndash;4 years of experience in automation development or integration engineering.</li><li>Strong hands-on experience with n8n and Make.com (Integromat).</li><li>Solid understanding of REST APIs, JSON, and HTTP methods.</li><li>Experience with LLM-based automation (e.g., OpenAI API, LangChain, or custom GPT integrations).</li><li>Knowledge of WebSockets, Webhooks, and event-driven architecture.</li><li>Proficiency in JavaScript or Python for writing custom functions within automation workflows.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li><li>Good problem-solving, debugging, and analytical skills.</li><li>Ability to manage multiple automation projects with minimal supervision.</li></ul>Preferred Skills:<ul><li>Experience integrating with tools like Slack, Notion, Airtable, HubSpot, or CRMs.</li><li>Understanding of prompt engineering and AI agent workflow design.</li><li>Basic knowledge of databases (SQL / NoSQL).</li><li>Familiarity with version control (Git).</li></ul>Job Type: Full-timeWork Location: In person

AI Automation Engineer

digital.enterprises

<div>
 AI Engineer Build the Real-Time Intelligence of ADAPT
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the gas capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 About The Role
 
 
 
 Were seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. Youll build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 
 
 
 </li>
 </ul>
 System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 
 
 
 </li>
 </ul>
 AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 
 
 
 </li>
 </ul>
 Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 
 
 
 </li>
 </ul>
 Technical Expertise
 
 
 LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 
 
 
 </li>
 </ul>
 Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 
 
 
 </li>
 </ul>
 AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 
 
 
 </li>
 </ul>
 Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and SOLID design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and CI/CD pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations (mandatory).
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. Youll join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
</div>

AI Engineer

Impleko AI

Title: Full Stack Developer with Automation Experiemce of 6 Months&ndash;1YearLocation: Karachi, Pakistan (Onsite, 5 days/week)About Impleko AIImpleko AI builds automation-first products and custom AI integrations for global clients, specializing in voice agents, AI workflows, and intelligent automation systems that drive real business results.Role OverviewWe are seeking a full-stack developer with strong backend expertise and solid frontend fundamentals to build, ship, and maintain production-grade AI-driven web applications. This is an on-site role (5 days/week) with performance incentives for delivering complete project milestones on or before deadlines.Candidates with experience in AI voice agents, Retell AI, Vapi, or automation systems (n8n, LangChain, etc.) will be highly preferred.Important: Frontend-only developers should not apply. This position requires backend-first, full-stack capabilities with Node.js.Key Responsibilities<ul><li>Develop, deploy, and maintain scalable Node.js (Express/NestJS) APIs and backend services.</li><li>Build integrations with external APIs (Twilio, Retell, Vapi, OpenAI, Supabase, etc.).</li><li>Design and optimize database schemas in MongoDB or PostgreSQL.</li><li>Develop responsive, maintainable frontend interfaces using React.js or Next.js when needed.</li><li>Implement authentication, authorization, and secure API communication.</li><li>Work with AI/automation tools (e.g., LangChain, n8n, Retell AI, Vapi, OpenAI APIs) to build intelligent agents and workflows.</li><li>Collaborate with design and product teams to scope features and ensure high-quality delivery.</li><li>Write clean, testable, well-documented code and follow Git-based CI/CD workflows.</li></ul>Required Skills<ul><li>6 months to 1 year of professional experience in Node.js / Express / NestJS development.</li><li>Experience with MongoDB or PostgreSQL, including data modeling and query optimization.</li><li>Familiarity with React.js or Next.js for building modern UIs.</li><li>Knowledge of authentication (JWT/OAuth), error handling, and state management.</li><li>Proficiency with Git, GitHub Actions, or similar CI/CD tools.</li></ul>Nice to Have<ul><li>Hands-on experience with AI Voice Agents (Retell AI, Vapi, Twilio).</li><li>Worked on automation systems (n8n, LangChain, Supabase, OpenAI, etc.).</li><li>Knowledge of Docker or AWS Amplify/Lambda deployment pipelines.</li><li>Exposure to AI chatbots, agent frameworks, or speech-to-text integrations.</li></ul>Mindset We Value<ul><li>Strong ownership and accountability for end-to-end delivery.</li><li>Passion for learning new technologies, especially in AI and automation.</li><li>Product-focused mindset that cares about user experience, performance, and reliability.</li></ul>Compensation<ul><li>Competitive, market-aligned salary.</li><li>Incentives for on-time or early milestone completion.</li></ul>Work Schedule<ul><li>Onsite, Monday to Friday (5 days/week).</li></ul>Notes<ul><li>Candidates with backend and automation/AI experience will be prioritized.</li><li>Frontend-only applicants will not be considered.</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs80,000.00 per monthWork Location: In person

Full Stack Developer with Automation Experience

Liquid Technologies Pakistan

<div>
 
 
 Job Title: Senior AI/ML Engineer
 
 
 
 
 
 
 
 Location:
 
 Karachi (On-site)
 
 
 
 Department:
 
 Artificial Intelligence / Data Science
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced and innovative
 
 Senior AI/ML Engineer
 
 to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in
 
 deep learning, NLP, computer vision, and large-scale ML systems
 
 , with a passion for applying AI to solve complex real-world problems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 end-to-end ML pipelines
 
 (data preprocessing, model training, evaluation, deployment).
 </li>
 <li>
 Lead R&amp;D in
 
 deep learning, NLP, computer vision, and generative AI
 
 to build state-of-the-art solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.
 </li>
 <li>
 Optimize models for
 
 scalability, performance, and efficiency
 
 .
 </li>
 <li>
 Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.
 </li>
 <li>
 Conduct experiments, analyze results, and present insights to stakeholders.
 </li>
 <li>
 Stay updated with the latest advancements in AI/ML and evaluate their applicability.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in
 
 Computer Science, AI, Data Science, or related field
 
 (PhD preferred).
 </li>
 <li>
 4+ years of experience in
 
 AI/ML model development and deployment
 
 .
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 with libraries such as
 
 TensorFlow, PyTorch, Scikit-learn, Hugging Face
 
 .
 </li>
 <li>
 Expertise in one or more areas:
 
 NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning
 
 .
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, GCP, Azure) and
 
 MLOps tools
 
 (MLflow, Kubeflow, Docker, Kubernetes).
 </li>
 <li>
 Strong background in
 
 data structures, algorithms, and mathematics for ML
 
 .
 </li>
 <li>
 Proven track record of deploying
 
 ML models into production environments
 
 .
 </li>
 </ul>
</div>

Senior AI/ML Engineer

SuperNova Solutions Pvt. Ltd.

Position Title: Database Engineer (ETL &amp; Data Modeling)We are seeking a skilled and detail-oriented Database Engineer with expertise in ETL development, data modeling, and database optimization. The ideal candidate will design and manage scalable data pipelines to support analytics, AI-driven reporting, and business intelligence initiatives.Key Responsibilities:<ul><li>Design, develop, and maintain ETL pipelines to extract data from ERP and business systems (SAP B1, Dynamics 365, SQL Server, HANA, etc.).</li></ul><ul><li>Map and load extracted data into star schema or data warehouse environments. &bull; Monitor, troubleshoot, and optimize ETL workflows for performance and reliability.</li></ul><ul><li>Perform data validation and reconciliation to ensure data consistency.</li></ul><ul><li>Collaborate with data engineers, analysts, and AI developers to enhance data accuracy and system integration.</li></ul><ul><li>Implement automation and scheduling of ETL jobs using Airflow, SSIS, or Python-based schedulers.</li></ul><ul><li>Assist in database performance tuning, indexing, and schema management</li></ul>Required Skills &amp; Qualification:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field.</li></ul><ul><li>Proven experience in SQL development and ETL pipeline creation (Python, SSIS, etc.).</li></ul><ul><li>Strong knowledge of data warehousing concepts (star/snowflake schema).</li></ul><ul><li>Hands-on experience with SQL Server, Azure SQL, or SAP HANA.</li></ul><ul><li>Proficiency in data mapping, transformation logic, and query optimization.</li></ul><ul><li>Familiarity with version control (Git) and CI/CD for data workflows.</li></ul><ul><li>Nice to Have: Experience with ERP systems (SAP Business One or Dynamics 365).</li></ul><ul><li>Familiarity with Azure Data Factory, AWS Glue, or dbt.</li></ul><ul><li>Exposure to Power BI, Tableau, or AI/ML data integration.</li></ul>Location: Hybrid / On-site &ndash; KarachiTo apply: talent@technaptix.comSubject Line: Database Engineer (ETL &amp; Data Modeling)Job Type: Full-timePay: Rs65,000.00 - Rs130,000.00 per monthWork Location: In person

Database Engineer (ETL & Data Modeling)

Cube Discipline

We are looking for a skilled Node.js / AI Engineer who can develop scalable backend systems and integrate AI models into production applications. The ideal candidate will have hands-on experience in Node.js, APIs, and AI/ML frameworks, with a strong ability to bridge backend engineering and AI implementation.Key Responsibilities:<ul><li>Design, develop, and maintain server-side applications using Node.js and Express.js.</li><li>Integrate AI/ML models into web and cloud-based applications.</li><li>Collaborate with data scientists and AI engineers to deploy and optimize ML pipelines.</li><li>Develop and manage RESTful APIs, ensuring high performance and scalability.</li><li>Write clean, testable, and maintainable code.</li><li>Handle data preprocessing, model inference, and integration with external APIs.</li><li>Work closely with cross-functional teams for smooth project execution.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>2&ndash;5 years of experience in Node.js development.</li><li>Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Strong understanding of REST APIs, microservices, and asynchronous programming.</li><li>Experience with MongoDB, MySQL, or PostgreSQL.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment.</li></ul>Job Type: Full-timeWork Location: In person

Node JS/ AI Engineer

Explore 378+ Ai agent engineer in Karachi this November. Find roles across top companies and apply now to boost your career.