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agentic ai developer (n8n / jotform integrations)

artificial intelligence specialist

Ähdus Technology GmbH

<div>
 
 Job Title:
 
 Senior Artificial Intelligence (AI) Engineer
 
 
 
 Location:
 
 Bahria Town, Phase 7, Rawalpindi
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 About the Role:
 
 
 
 We are hiring a
 
 Senior AI Engineer
 
 to lead the design, development, and deployment of intelligent systems that solve complex real-world problems. You will work on a broad range of AI technologies&mdash;including machine learning, deep learning, NLP, and computer vision and collaborate with cross-functional teams to deliver scalable, AI-driven solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI solutions, from data processing to model deployment.
 </li>
 <li>
 Work on diverse AI domains including NLP, computer vision, recommendation systems, and decision intelligence.
 </li>
 <li>
 Lead model experimentation, optimization, and evaluation using advanced techniques.
 </li>
 <li>
 Collaborate with data scientists, engineers, and product managers to integrate AI into applications.
 </li>
 <li>
 Stay updated with the latest AI research and translate cutting-edge advancements into production-grade tools.
 </li>
 <li>
 Ensure ethical and responsible AI use, including bias detection and explainability.
 </li>
 <li>
 Mentor junior engineers and contribute to AI system architecture and strategy.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
 </li>
 <li>
 5+ years of experience in AI/ML development, including large-scale model deployment.
 </li>
 <li>
 Strong knowledge of Python, deep learning frameworks (PyTorch, TensorFlow), and ML libraries.
 </li>
 <li>
 Experience with cloud-based AI platforms (AWS/GCP/Azure) and MLOps tools.
 </li>
 <li>
 Solid understanding of algorithms, data structures, and software engineering practices.
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Experience with generative AI, reinforcement learning, or multimodal systems.
 </li>
 <li>
 Published research or open-source contributions in AI-related fields.
 </li>
 <li>
 Experience building AI products in sectors like healthcare, finance, retail, or robotics.
 </li>
 </ul>
</div>

Senior Artificial Intelligence (AI) Engineer

AIO App Inc

<div>About the Role:
As a Senior Product Specialist, you will be responsible for driving the product lifecycle from ideation to execution and scaling. You will work cross-functionally with engineering, design, sales, and marketing teams to build and deliver products that cater to B2B customers, including staff, business owners, and employees. 
 
What will be your responsibilities?
<ul><li>Own the full product lifecycle from 0 to 1 and scaling from 1 to 100.
</li><li>Collaborate cross-functionally with design, engineering, sales, and marketing teams.
</li><li>Build intuitive B2B software and hardware products for staff, employees, and business owners.
</li><li>Define product strategy using user feedback, research, and data-driven insights.
</li><li>Drive the development of AI-powered features by working closely with AI and ML engineers.
</li><li>Translate AI capabilities (like LLMs or predictive models) into seamless user experiences and real business value. 
</li></ul>What are we looking for, and what does it require to be the right fit for this role?
<ul><li>3&ndash;4 years in product management, ideally in fast-growth startups.
</li><li>Proven track record of leading successful B2B product initiatives.
</li><li>Strategic thinker with strong mentorship and leadership skills.
</li><li>Deep experience with market research, roadmap planning &amp; analytics.
</li><li>Strong understanding of AI/ML concepts and ability to work with technical AI teams.
</li><li>Bonus: Familiarity with LLMs, prompt engineering, or building AI-assisted user flows. 
</li></ul>Preferred Qualifications:
<ul><li>Proficient in agile methodologies and iterative product development.
</li><li>Educational background in technology, engineering, or business-related fields.
</li><li>Prior experience in leading cross-functional teams in a high-growth or scaling startup environment. 
</li></ul>Why Join AIO? 
Our mission is to revolutionize the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their businesses. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an all-in-one super app platform for all of their needs&mdash;from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class, Silicon Valley-funded start-up.</div>

Senior Product Specialist - AI

Value Engineering

Location: Bahria Phase 4, Rawalpindi (Onsite) Experience Required: Minimum 5+ Years Job Type: Full-Time Shift: Night ShiftPosition Overview:We are looking for an experienced and innovative AI/ML Engineer to join our dynamic team at The Value Engineering. The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence, with proven experience in building, deploying, and optimizing AI models that solve complex, real-world problems.This role offers an opportunity to lead impactful projects, collaborate with cross-functional teams, and push the boundaries of what&rsquo;s possible with data-driven intelligence.Key Responsibilities:<ul><li>Design, develop, and deploy advanced AI/ML models and predictive systems.</li><li>Build and maintain data pipelines, from data collection to preprocessing and model deployment.</li><li>Apply statistical analysis, optimization, and machine learning algorithms to large-scale datasets.</li><li>Collaborate with data scientists, software engineers, and business teams to deliver production-grade solutions.</li><li>Monitor and fine-tune model performance for scalability and accuracy.</li><li>Research and implement cutting-edge ML algorithms and frameworks.</li><li>Develop tools and processes for automated model training, evaluation, and deployment (MLOps).</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>5+ years of hands-on experience in AI/ML model development and deployment.</li><li>Strong command of Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, and Pandas.</li><li>Proven experience with data preprocessing, model optimization, and feature engineering.</li><li>Experience in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).</li><li>Familiarity with API integration and model serving using Flask/FastAPI.</li><li>Deep understanding of algorithms, statistics, and mathematical modeling.</li><li>Strong problem-solving, analytical thinking, and teamwork skills.</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable working in Night Shift?</li><li>Are you comfortable commuting to bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

Senior AI/ML Engineer

Provox Global Solutions

We are looking for a mid-level AI Engineer to support the development of our AI-powered voice and chat systems using DialogFlow CX, Vertex AI, and Gemini API. This role will focus on building, maintaining, and optimizing conversational AI solutions integrated with backend logic on Google Cloud Platform (GCP) for healthcare applications.Key Responsibilities<ul><li>Develop and maintain DialogFlow CX conversational agents (voice and chat).</li><li>Integrate DialogFlow Phone Gateway and monitor agent behavior.</li><li>Implement grounding techniques to reduce hallucinations and ensure AI reliability.</li><li>Write Node.js Cloud Functions to handle conversational business logic.</li><li>Integrate external APIs and manage JSON-based data exchange.</li><li>Configure and maintain environments in Google Cloud Platform (GCP).</li><li>Support Vertex AI and Gemini API integrations for advanced AI capabilities.</li><li>Conduct testing of conversational flows and ensure accuracy and performance.</li></ul>Required Qualifications<ul><li>2&ndash;3 years experience in AI development or GCP-based environments.</li><li>Hands-on experience with DialogFlow CX and conversational AI tools.</li><li>Proficient in Node.js and working with APIs and JSON structures.</li><li>Understanding of Google Cloud Functions and serverless architecture.</li><li>Familiarity with Vertex AI, Gemini API, or similar LLM integrations.</li><li>Strong debugging, testing, and optimization skills.</li><li>Experience with basic SQL (MySQL) for data logging and tracking.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>This is an on-site position with shift hours from 7 PM to 4 AM Pakistan Time. Are you comfortable with this shift schedule?</li></ul>Experience:<ul><li>n8n: 1 year (Required)</li><li>DialogFlow : 1 year (Required)</li><li>Google Cloud Platform (GCP).: 1 year (Required)</li><li>Node.js : 1 year (Required)</li></ul>Work Location: In person

AI Engineer

Cloudelligent

<div>Cloudelligent is looking for enthusiastic candidates for the position of AWS AI Intern Intern. 
 
Position Title: AWS AI Intern 
Job Timings: 6:00 pm to 3:00 am PKT, On-site 
Location: Islamabad 
 
About Cloudelligent 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Requirements<ul><li>
Computer science, software engineering or related field graduates are eligible to apply.</li><li>
General understanding or familiarity with cloud platforms, preferably AWS.</li><li>
Familiarity with AI/ML frameworks.
</li><li>Basic understanding of cloud-based AI services and interest in exploring AWS data services.</li><li>
Eagerness to learn emerging AI tools and technologies.</li><li>
Can-do and a proactive attitude towards assigned tasks.</li><li>
An immense desire for learning.
</li><li>Availability to work in US timings is required.
</li></ul> 
Additional Information<ul><li>
Paid internship.</li><li>
Prospect of full-time employment based on satisfactory performance during the internship period.</li></ul>
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AWS AI Intern (C-0425123)

iOPTIME Pvt. Limited

We are looking for a passionate AI Engineer with hands-on experience in Generative AI, RAG systems, LLMs, and Computer Vision to help design and deploy next-generation AI solutions. You will work on building intelligent systems using LangChain, LLM fine-tuning, OCR, and LLM evaluation pipelinesKey Responsibilities:<ul><li>Develop and optimize RAG-based architectures for high-quality contextual retrieval and response generation.</li><li>Work on LLM fine-tuning, prompt engineering, and evaluation frameworks to measure model performance and accuracy.</li><li>Fine-tune LLM models to cater to specific business needs, ensuring high accuracy and efficiency.</li><li>Apply Computer Vision techniques for image processing, object detection, and real-time video analytics.</li><li>Collaborate with backend and ML teams to integrate AI components into production using FastAPI, Docker, and GCP or AWS.</li><li>Continuously explore advancements in GenAI, LangChain, and LLM evaluation to enhance system performance.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master degree in Computer Science, AI/ML, or a related field.</li><li>2 years of hands-on experience in AI/ML model development.</li><li>Strong programming skills in Python with frameworks such as PyTorch or TensorFlow.</li><li>Experience with LLMs, LangChain, RAG, or LLM evaluation pipelines.</li><li>Knowledge of OCR tools (e.g., Tesseract, EasyOCR) and Computer Vision frameworks (e.g., OpenCV, YOLO).</li><li>Familiarity with model deployment, vector databases, and inference optimization.</li><li>Good understanding of prompt engineering, fine-tuning, and model evaluation metrics.</li><li>Strong analytical mindset, problem-solving ability, and teamwork skills.</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Rs100,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad G-8/Markaz: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your expected salary?</li><li>It's an onsite full-time job, are you comfortable commuting to this job's location?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Generative AI: 2 years (Required)</li></ul>Work Location: In person

NextGen Talent Brokers

About BitsolBitsol is a product-led, AI-accelerated software studio focused on healthcare. We partner with healthcare founders and organizations in the US to design and deliver HIPAA-compliant applications through rapid, 8-week prototyping and delivery cycles. Combining deep domain experience in clinical workflows, interoperability, and compliance with modern low-code and AI-enabled development practices, we turn validated customer problems into production-ready solutions quickly and securely. Join a mission-driven, cross-functional team that prioritizes real-world impact for patients and providers.About the RoleAs an Applied AI Engineer you will design, build, evaluate, and operate agentic AI systems and retrieval&#8209;augmented pipelines for HIPAA&#8209;sensitive healthcare products. You will own production integration of LLMs and multimodal models, the orchestration of multi&#8209;agent workflows, and the observability, safety and privacy guarantees required for clinical and regulated environments. You will work cross&#8209;functionally with Product, Engineering, DevOps and Compliance to ship reliable, auditable AI features.Key Responsibilities<ul><li>Design and implement agentic systems: multi&#8209;step agents, tool/connector interfaces, action selection policies, orchestrators and workflow engines.</li><li>Build and maintain RAG pipelines: document ingestion, chunking strategies, embeddings, vector indexes (FAISS/Pinecone/Weaviate), semantic search and recall tuning.</li><li>Integrate LLMs and multimodal models (OpenAI/Anthropic/local models/LLM-as-a-service) with robust prompt templates, function&#8209;calling/tool interfaces and orchestration frameworks.</li><li>Implement safety, alignment and privacy controls: PII/PHI scrubbing, role/row access patterns, policy enforcement, content moderation and red&#8209;teaming.</li><li>Produce reproducible evaluation and observability: automated test suites, evaluation metrics (faithfulness, precision, ROUGE/EM where applicable), logging, drift detection and dashboards.</li><li>Harden production services: API design, auth, batching, caching, rate limiting, containerization (Docker), CI/CD, SLOs, scaling and secure hosting patterns suitable for HIPAA workloads.</li><li>Build connectors and integrations (EHR APIs, FHIR/HL7, internal knowledge bases), define access &amp; consent flows, and ensure audit trails for PHI access.</li><li>Define and maintain prompt/agent libraries, tooling contracts (input/output schemas), and documentation for reproducibility and handoff.</li><li>Collaborate with Product and Compliance to translate product requirements into agent behaviors and acceptance criteria; participate in incident response and post&#8209;mortems.</li></ul>Key Qualifications<ul><li>4+ years in applied ML/AI engineering or software engineering with significant AI responsibilities; proven production experience.</li><li>Demonstrable experience building agentic systems (tool&#8209;using agents, multi&#8209;step orchestrations, or similar), not limited to single&#8209;shot prompting.</li><li>Strong, hands&#8209;on experience with retrieval&#8209;augmented systems: embeddings, vector DBs (FAISS/Pinecone/Weaviate), chunking/indexing strategies and retrieval tuning.</li><li>Proven integration experience with LLMs and model APIs, including prompt engineering, function calling, and orchestration (e.g., LangChain, LangGraph, CrewAI or equivalent).</li><li>Production engineering skills: Python, async services, API design, Docker, CI/CD pipelines, and familiarity with deployment patterns for low&#8209;latency/high&#8209;availability services.</li><li>Practical knowledge of evaluation &amp; observability for LLM systems: logging request/response, evaluation pipelines, metrics, and drift detection.</li><li>Strong understanding of data privacy, security and PHI/PII handling; experience designing for auditability and HIPAA compliance requirements.</li><li>Experience debugging model/system failures and performing root&#8209;cause analysis for hallucinations, retrieval failures, and agent misbehavior.</li><li>Solid software engineering fundamentals: testing, reproducibility, documentation and collaboration in cross&#8209;functional teams.</li><li>Clear communicator with product sensibility and ability to translate product needs into technical designs.</li></ul>Preferred / Ideal Candidate<ul><li>Experience with healthcare data, EHR integrations and interoperability standards (FHIR, HL7).</li><li>Hands&#8209;on experience deploying or fine&#8209;tuning LLMs (LoRA, SFT, full model deployments) and working with on&#8209;prem/local model deployments.</li><li>Familiarity with MLOps and feature/serving platforms (MLflow, BentoML, Tecton, Feast, feature stores).</li><li>Experience with agent orchestration/workflow tools (Temporal, Airflow, CrewAI, LangGraph) and multi&#8209;agent coordination patterns.</li><li>Prior work on model safety, alignment tooling, content moderation pipelines and red&#8209;teaming exercises.</li><li>Experience with knowledge graphs, schema/ontology design, or hybrid retrieval (BM25 + embeddings + re&#8209;ranking).</li><li>Background in building evaluation frameworks and operationalizing model QA in regulated environments.</li><li>Mentorship experience and a desire to build reusable prompt/agent libraries and team best practices.</li></ul>Perks and Benefits:<ul><li>Biannual salary increment</li><li>Health and fitness allowance</li><li>Company-sponsored sports and adventure activities</li><li>Bonuses</li><li>Fuel Allowance</li><li>Awesome learning environment</li><li>Growth opportunities</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li> applied ML/AI engineering : 4 years (Required)</li></ul>Work Location: In person

Applied AI Engineer

Explore 133+ Artificial intelligence specialist in Islamabad Pakistan this November. Find roles across top companies and apply now to boost your career.

133 artificial intelligence specialist jobs IN Islamabad Pakistan

Senior Artificial Intelligence (AI) Engineer

Senior Product Specialist - AI

Senior AI/ML Engineer

AI Engineer

AWS AI Intern (C-0425123)

AI Engineer

Applied AI Engineer