it support engineer

ai architect

ai developer

civil engineer (estimation engineer) Jobs in Islamabad

civil engineer (estimation engineer)

construction site engineer Jobs in Islamabad

construction site engineer

ai engineer

ImagineArt

<div>
 
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 
 
 
 
 Role Title:
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 Team:
 
 Chatly Engineering
 
 Focus:
 
 Building Autonomous "Super Agents"
 
 
 
 Who We Are
 
 
 
 Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
 
 
 With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
 
 
 From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
 
 
 At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
 
 
 If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.
 
 
 
 About The Role
 
 
 
 We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.
 </li>
 <li>
 Integration Ecosystem: Build the "hands" of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.
 </li>
 <li>
 Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).
 </li>
 <li>
 Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.
 </li>
 <li>
 Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).
 </li>
 <li>
 Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.
 </li>
 <li>
 Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.
 </li>
 <li>
 System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.
 </li>
 <li>
 Be part of a passionate, fast-moving team that values innovation and data-driven decisions.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 <li>
 A culture where learning, growth, and experimenting with new ideas are deeply encouraged.
 </li>
 </ul>
</div>

Agentic AI Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Remote, Full-time
 
 
 
 Role Overview
 
 
 As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients&mdash;owning work from requirements discovery through prototype and production deployment. You&rsquo;ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
 
 
 This is a mid-to-senior individual contributor role. You&rsquo;ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design &amp; Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
 </li>
 <li>
 Build Workflows &amp; Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems
 </li>
 <li>
 Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
 </li>
 <li>
 Retrieval &amp; Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
 </li>
 <li>
 Prototype &rarr; Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
 </li>
 <li>
 Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
 </li>
 <li>
 Ongoing Support &amp; Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
 </li>
 <li>
 Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
 </li>
 <li>
 Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed
 
 
 </li>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)
 </li>
 <li>
 Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows
 </li>
 <li>
 Deliveries are production-ready: monitored, testable, documented, and maintainable
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of software or AI engineering experience (mid-to-senior)
 </li>
 <li>
 2&ndash;3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
 </li>
 <li>
 Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
 </li>
 <li>
 Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices
 </li>
 <li>
 Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
 </li>
 <li>
 Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
 </li>
 <li>
 Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)
 </li>
 <li>
 Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
 </li>
 <li>
 Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management
 </li>
 <li>
 Experience with graph databases / knowledge graphs
 </li>
 <li>
 Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
 </li>
 <li>
 Prior consulting experience or work in fast-paced startup environments
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
 DXag1oObkj
</div>

Applied AI Engineer (Automation)

Job Bank Recruitment Network

Job Bank &mdash; AI Business Engine DevelopmentLocation: RemoteMust speak Fluent EnglishAbout Job BankJob Bank is a UK focused platform helping people start recruitment and training businesses through two simple annual plans. We are now building Job Bank AI &mdash; an intelligent system that includes:<ul><li>Recruitment AI</li><li>Training/Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, not a generic chatbot.Our mission is to create the #1 AI powered business building platform in the UK.Role OverviewWe are looking for an AI Developer / AI Engineer who can:<ul><li>Integrate large language models (OpenAI, Mistral, Groq, Claude)</li><li>Build custom AI workflows</li><li>Fine tune niche models using Job Bank&rsquo;s datasets</li><li>Build intelligent business tools</li><li>Develop AI agents</li><li>Work closely with our product and engineering team</li><li>Deliver fast, clean and high‑quality work</li></ul>You will be responsible for turning Job Bank into an AI powered platform with recruitment intelligence, training intelligence, business-building intelligence, and marketing intelligence.This is a high impact role.Key ResponsibilitiesAI Development<ul><li>Integrate multiple LLM providers (OpenAI, Anthropic, Mistral, Groq).</li><li>Build custom AI workflows using LangChain, LlamaIndex, or similar frameworks.</li><li>Create structured output templates (JSON, Markdown, Steps, Tasks).</li><li>Fine‑tune domain‑specific models (Recruitment, Training, Business, Marketing).</li><li>Build embeddings and vector search for knowledge retrieval.</li><li>Create RAG (Retrieval Augmented Generation) systems.</li><li>Develop AI scoring systems for CVs, content, outreach, etc.</li></ul>AI Tools &amp; Business Engine<ul><li>Build AI tools for:</li><li>Job adverts</li><li>CV scoring</li><li>Outreach writing</li><li>Training/course building</li><li>SOP creation</li><li>Business plan building</li><li>Content creation</li><li>Product creation</li><li>Develop UI + backend logic for these tools.</li></ul>AI Assistants (Agents)<ul><li>Build semi-autonomous agents:</li><li>AI Recruiter Assistant</li><li>AI Training Assistant</li><li>AI Business Coach</li><li>AI Marketing Assistant</li><li>AI Operations Assistant</li><li>Implement memory (short-term + long-term).</li><li>Chain-of-thought planning (hidden).</li><li>Tool calling (search, write files, propose steps).</li></ul>Data Engineering<ul><li>Prepare datasets for fine‑tuning:</li><li>Job ads</li><li>CVs</li><li>Courses</li><li>Training materials</li><li>SOPs</li><li>Business plans</li><li>Marketing frameworks</li><li>Clean, label, and structure data into instruction formats.</li></ul>Collaboration<ul><li>Work with full‑stack developers to integrate AI tools into the platform.</li><li>Work with product to refine features and outputs.</li><li>Work with the founder to align on strategy, direction, and roadmap.</li></ul>Technical Skills (Must Have)AI &amp; ML<ul><li>Experience with OpenAI API, Mistral, Groq, Claude</li><li>Fine‑tuning small/medium models</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Weaviate, Chroma)</li><li>LangChain / LlamaIndex</li><li>Prompt engineering</li><li>LLM function calling</li><li>RAG systems</li><li>Model evaluation and scoring</li></ul>Backend<ul><li>Python or Node.js</li><li>FastAPI / ExpressJS</li><li>REST + WebSockets</li><li>Clean code principles</li><li>API architecture</li></ul>Frontend(Not required, but a plus)<ul><li>React / Next.js</li><li>UI component building</li><li>Clean UX flows</li></ul>General<ul><li>Strong problem‑solving</li><li>Ability to work quickly</li><li>Experience shipping real AI features</li><li>Ability to think like a product engineer, not just a coder</li></ul>Bonus Skills (Nice to Have)<ul><li>Experience with recruitment technology</li><li>Experience with LMS or course platforms</li><li>Experience with business tools (CRM, project management, etc.)</li><li>Experience building AI agents</li><li>Experience using Groq for ultra-fast inference</li><li>Understanding of UK recruitment/training market (not required)</li></ul>What We Offer<ul><li>Work on a high‑impact AI platform</li><li>Long‑term role with growth potential</li><li>Stable and exciting product roadmap</li><li>Opportunity to build category‑defining AI</li><li>Flexible working</li><li>A team that is supportive, fast, and visionary</li></ul>Why This Role MattersYou will be responsible for:<ul><li>bringing AI intelligence into Job Bank</li><li>creating tools no competitor has</li><li>shaping the future of the UK&rsquo;s small‑business landscape</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

AI Developer

Cowlar Design Studio

<div>
 Hi Folks,
 
 
 Like always, we have great expectations from students at Air University.
 
 
 Here is a Virtual Office Tour.
 
 
 We are looking for the following roles:
 
 
 1. Full Stack Polyglot Developer (MERN, MEVN)
 
 
 2. Mobile Apps Developer (Flutter)
 
 
 3. Software Quality Assurance Engineer
 
 
 4. Software, Algorithms, Machine Learning &amp; AI Engineer (SAMA)
 
 
 5. Business, Strategy, Design, Sales, Operations &amp; Quality Associate (BSDSOQ)
 
 
 6. DevOps Specialist
 
 
 7. HR Associate (Technical Recruiter, HR Ops &amp; Onboarding Specialist)
 
 
 8. Embedded / Electronics / Robotics Engineer
 
 
 
 Recommended Steps!
 
 
 
 In order to move fast and get a better idea of what to expect in the interviews, I request everyone to follow these steps.
 
 
 1. Go to work.cowlar.com
 
 
 2. Navigate to, the "Interview Prep Section."
 
 
 3. Click on your relevant section, "Engineering, BSSO"
 
 
 4. Open your relevant prep document.
 
 
 5. Please prepare the document in detail, not just look at it.
 
 
 6. Let us know as soon as you are prepared.
 
 
 You can reach out to us at careers@cowlar.com
 
 
 If you have any questions or queries, please let us know.
 
 
 Remember, we are looking for people who display exceptional ability to learn and grow individually as well as with us.
 
 
 Best of luck
</div>

Air-Islamabad

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Sybrid Careers

<div>
 <ul>
 <li>
 Education: Bachelor's degree in computer science, software engineering, artificial intelligence or a related field.
 </li>
 <li>
 Location: Karachi and Islamabad Office
 </li>
 <li>
 Shift: 11:00AM - 08:00PM (Monday to Friday)
 </li>
 <li>
 Experience: Minimum 02 Year of Similar Experience with relevant skills in Python, ML, NLP, STT, TTS, and Databases.
 
 
 </li>
 </ul>
 
 Job Description And Requirements
 
 
 
 <ul>
 <li>
 The ideal candidate will analyze large datasets, develop and fine tune machine learning models, and contribute to data-driven decision-making.
 </li>
 <li>
 Design, build, and deploy machine learning models and AI-driven systems across a variety of domains including NLP, STT, TTS, recommendation engines, and generative AI.
 </li>
 <li>
 Proficiency in Python, Machine Learning, Speech to Text, Text to Speech, Natural Language Processing, SQL, data modeling, plus strong communication skills to turn data into actionable business insights.
 </li>
 <li>
 Knowledge of front-end development and socket programming will be a plus.
 </li>
 </ul>
</div>

Junior Data Science Engineer

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

Data Engineer

Explore 164+ Ai engineer in Islamabad this April. Find roles across top companies and apply now to boost your career.