digital marketing specialist

ai agent specialist

implementation associate Jobs in Islamabad

implementation associate

ai & ml automation consultant (project-based) Jobs in Islamabad

ai desk data analyst

artificial intelligence specialist

Try Soft Ai

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Palladium Pakistan Pvt Ltd

<div><div><div><div>Posted date</div> <div>27th February, 2026</div> <div>Last date to apply</div> <div>20th March, 2026</div>
</div> 
<div><div>Country</div> <div>Pakistan</div> <div>Locations</div> <div>Islamabad</div>
</div> 
<div><div>Category</div> <div>Artificial Intelligence
</div></div> 
<div><div>Type</div> <div>Consultancy</div> <div>Position</div> <div>1</div>
</div> 
<div><div>Experience</div> <div>10 years</div></div></div></div>
 <div>Mid National - AI / Machine Learning Specialist/Developer

E4H FED TA: Embedded Technical Support to the Ministry of National Health Services, Regulation &amp; Coordination (M/o NHSR&amp;C)

Programme Overview

Evidence for Health (E4H) is a Foreign, Commonwealth &amp; Development Office (FCDO)-funded programme aimed at strengthening Pakistan's healthcare system, thereby decreasing the burden of illness and saving lives. E4H provides technical assistance (TA) to the Federal, Khyber Pakhtunkhwa (KP), and Punjab governments, and is being implemented by Palladium along with Oxford Policy Management (OPM).

Through its flexible, embedded, and demand-driven model, E4H supports the government to achieve a resilient health system that is prepared for health emergencies, responsive to the latest evidence, and delivers equitable, quality, and efficient healthcare services. Specifically, E4H delivers TA across three outputs:

Output 1: Strengthened integrated health security, with a focus on preparing and responding to health emergencies, including pandemics.

Output 2: Strengthened evidence-based decision-making to drive health sector performance and accountability.

Output 3: Improved implementation of Universal Health Coverage, with a focus on ending preventable deaths.

Position Summary

The overall goal is to develop a National Digital Health Hub (NDHH) software and implement an integrated, scalable, and interoperable digital health information platform within a six-month timeframe

Specific Objectives

The specific objectives are to:
<div>
<ul><li>Link the remaining two provinces to NDHH through secure, standards-aligned interoperability mechanisms and validated data pipelines;</li></ul>
<ul><li>Operationalise the Practice Hub to deliver AI-enabled advanced analytics and decision support, including explainable insights and scenario-oriented outputs;</li></ul>
<ul><li>Strengthen governance, capacity, and sustainability arrangements so that NDHH is routinely usable and maintainable within Government systems (NHDC/NIH and provincial counterparts).</li></ul>
</div>
Strategic Approach

Phase II will follow the same strategic logic established in Phase 1. The focus will be on connecting/linking existing systems and datasets, support interoperability, ensure secure and ethical use of health data, strengthen capacity for routine use, and build a flexible platform aligned with global standards that can adapt to future health system needs.

Key strategic principles include:
<ul>
<li>Federated interoperability (connect and exchange rather than replace existing provincial systems)</li>
<li>Governance-led implementation (data sharing and decision rights defined up-front)</li>
<li>Incremental rollout with verification (pilot-to-scale with measurable acceptance criteria)</li>
<li>Human-centred adoption (capacity building, usability, and local operational ownership)</li>
</ul>
Scope of Work

As a part of this TA assignment, the consultant(s) will cover the following scope of work:

1 Governance, Coordination, and Data Sharing

Building on Phase 1 governance structures, the consultant(s) will:
<ul>
<li>Strengthen and operationalise national&ndash;provincial coordination mechanisms for NDHH implementation (including provincial inclusion and decision pathways).</li>
<li>Support the completion/update of data sharing instruments (e.g., MoUs/DSA) between M/o NHSR&amp;C, NIH/NHDC and the participating provinces/areas, clarifying roles, responsibilities, and permissible use.</li>
<li>Establish practical governance for AI-enabled decision support (approval workflow for use-cases, safeguards, and change control).</li>
</ul>
2 Provincial Onboarding and Integration (Remaining Two Provinces)
<ul>
<li>Conduct onboarding the two remaining provinces (systems integration, linkage, APIs, metadata alignment, connectivity, and privacy constraints).</li>
<li>Implement and validate secure data exchange pipelines (scheduled ingestion, reconciliation, error handling, and alerting), consistent with the Phase 1 approach to backend integration and validation.</li>
<li>Use and apply existing national metadata packages and indicator mappings to ensure comparability across provinces while retaining provincial context.</li>
<li>Conduct integration testing and provincial UAT with documented sign-off.</li>
</ul>
3 Practice Hub Development (AI-enabled Advanced Analytics)

The consultant(s) will design, develop, test, deploy and operationalise the Practice Hub, including AI models configured and executed in the accordance with NDHH requirements, as a controlled decision-support layer that:
<ul>
<li>Enables authorised users to query integrated datasets and receive interpretable results (trends, comparisons, alerts, &ldquo;&rdquo; what-if&rdquo; scenarios, briefs and short summaries).</li>
<li>Connects with the Knowledge Hub, so results are linked to relevant policies, guidelines, and evidence resources to support learning and consistent decision making..</li>
<li>Implements ethical and safety AI controls to protect privacy, reduce bias, ,explain how results are generated , track system use, and restrict access based on user role.</li>
<li>Uses approved AI services through secure APIs (where approved) to support advanced analysis and summarisation, while protecting sensitive information and tracking data sources.</li>
</ul>
4 Security, Identity, and Access Management
<ul>
<li>Ensure role-based access controls and permissions for new provincial users and for Practice Hub functions (including auditability).</li>
<li>Protect system and data by using encryption, multi-factor authentication, and secure operating practices with national hosting requirements.</li>
</ul>
5 Testing, Quality Assurance, and Deployment
<ul>
<li>Execute a structured test plan: unit, integration, end-to-end, performance/load, security testing, and UAT.</li>
<li>Conduct UAT in the two newly onboarded provinces and ensure the NDHH is ready to for routine use.</li>
<li>Establish monitoring and operational procedures; configure alerts and routine checks (operational sustainability).</li>
</ul>
6 Documentation, Training, Capacity Building, and Handover
<ul>
<li>Produce comprehensive technical documentation (NDHH architecture, APIs, interoperability mechanisms, and end to end data flows), user guides, and training materials and conduct structured training sessions.</li>
<li>Strengthen NIH/NHDC operational capacity through hands-on administration, supervised operations, and progressive handover.</li>
</ul>
Focal points nominated by the Director General (Health) and NIH will be actively engaged in the activity. Staff of HPSIU and the Ministry will also be engaged in the activity.

Sustainability: Capacity Building, Institutionalisation, and/or Transition Planning
Capacity Building: Targeted trainings, on-the-job mentoring, and practical guidance will strengthen NIH/NHDC and provincial capacity to operate, maintain, and routinely use NDHH, including interoperability, analytics, and decision-support functions.

Institutionalisation: NDHH to be embedded within existing government HIS structures through formal governance arrangements, standard operating procedures, data-sharing agreements, and alignment with national data and interoperability standards.

Transition Planning: A phased handover will transfer full operational ownership to NIH/NHDC and provinces, supported by complete documentation, system access transfer, and formal validation of government readiness at the end of Phase II.

Responsibilities

The AI/Machine Learning Specialist/Developer will be responsible for:
<ul>
<li>Inception Report &amp; detailed Workplan including integrated Gantt chart</li>
<li>Provincial onboarding, Governance, Integration and Go-live of the Remaining Two Provinces</li>
<li>Practice Hub V1.0 (AI-enabled advanced analytics)</li>
<li>Security Hardening, Documentation, Capacity Building, and Operational Handover</li>
<li>Final Phase II report</li>
</ul>
Timeline and Days

The level of effort (LOE) for the role is 30 days from May 2026 &ndash; Sep 2026.

Requirement

Technical Expertise
<ul>
<li>Minimum 10 years of experience in machine learning and natural language processing.</li>
<li>Experience with OpenAI, Google AI APIs, and model integration.</li>
<li>Experience applying AI in healthcare/public health data systems</li>
</ul>
Competencies
<ul>
<li>Innovative Thinking</li>
<li>Strong algorithmic and coding skills and data literacy</li>
</ul>
<ul><li>Disclaimer</li></ul>

Subject to availability of budget and approval from the donor.</div>

FED TA DigitalHub - Mid STTA AI / Machine Learning Specialist/Developer

Hashmi Medical and ICSI Centre

OverviewWe seek an experienced AI and Machine Learning Automation Consultant to evaluate, design, and implement automation across our business operations. The objective is to identify processes that can be automated. Design practical AI-driven solutions. Implement systems that improve speed, reduce manual work, and increase operational efficiency.This is a project-based engagement. The consultant will work independently, assess current workflows, recommend solutions, and execute automation within a defined and short timeframe.You will act as both strategist and implementer. You will diagnose operational inefficiencies, propose AI-enabled solutions, and lead the execution of those solutions.The role requires strong technical depth and proven business process automation experience.Key ObjectivesYou will focus on measurable operational improvements.Primary objectives include:<ul><li>Audit current business processes and identify automation opportunities</li><li>Design AI-driven workflows to eliminate repetitive manual tasks</li><li>Implement automation tools and AI systems across departments</li><li>Integrate AI solutions with existing platforms and infrastructure</li><li>Improve internal communication and workflow efficiency</li><li>Reduce operational cost through automation</li><li>Deliver results within a short and defined project timeline</li></ul>Scope of WorkThe consultant will review current operations and propose an actionable automation roadmap.Areas may include:<ul><li>Sales process automation</li><li>Customer communication automation</li><li>Internal communication workflows</li><li>Data processing and reporting automation</li><li>Customer support automation</li><li>Marketing automation using AI tools</li><li>Inventory and operational workflow automation</li><li>Integration of AI agents and automation systems with existing tools</li></ul>You will also develop documentation and internal guidelines so the team can operate the systems after deployment.Key Responsibilities<ul><li>Conduct a full operational assessment of current business workflows</li><li>Identify processes suitable for AI or ML based automation</li><li>Present a clear automation roadmap with timelines and deliverables</li><li>Recommend appropriate AI platforms, models, and tools</li><li>Design and deploy AI agents and automated workflows</li><li>Integrate AI solutions with internal tools such as CRM, communication platforms, e-commerce platforms, and operational systems</li><li>Implement automation using APIs, integrations, and workflow tools</li><li>Ensure solutions are reliable, scalable, and secure</li><li>Provide technical documentation and operational handover to the team</li></ul>Required Qualifications<ul><li>Strong background in Artificial Intelligence and Machine Learning</li><li>Proven experience implementing AI automation in business environments</li><li>Demonstrated experience in process automation and workflow optimization</li><li>Experience integrating AI tools with business platforms and APIs</li><li>Strong understanding of business operations and process analysis</li><li>Experience with automation frameworks and AI-driven tools</li><li>Ability to independently plan and execute automation projects</li><li>Strong problem-solving and analytical skills</li><li>Clear communication and ability to translate technical solutions into business outcomes</li></ul>Preferred Technical ExperienceExperience in several of the following areas is expected:<ul><li>AI workflow automation platforms</li><li>Large language models and AI agents</li><li>Machine learning applications in operations</li><li>API integrations and system orchestration</li><li>Data processing and automation pipelines</li><li>CRM, ecommerce, and communication platform integrations</li><li>Process mapping and operational optimization</li></ul>DeliverablesThe consultant will deliver:<ul><li>A full business process automation assessment</li><li>A prioritized automation roadmap</li><li>Implemented AI automation systems</li><li>Integrated workflows across relevant business tools</li><li>Documentation and training for internal teams</li></ul>Performance ExpectationsSuccess in this role depends on execution speed and practical outcomes.We expect:<ul><li>Rapid understanding of the business structure</li><li>Clear identification of automation opportunities</li><li>Fast implementation of high-impact solutions</li><li>Measurable operational improvements</li></ul>Engagement Structure<ul><li>Project-based engagement</li><li>Short-term implementation timeline</li><li>Flexible work arrangement, remote or on-site</li><li>Compensation based on experience and project scope</li></ul>How to ApplyApplicants should submit:<ul><li>A brief professional profile</li><li>Relevant project experience in AI automation</li><li>Examples of automation systems implemented</li><li>Proposed approach to business process automation</li><li>Interested applicants may submit their application and supporting materials to Hr@gkhair.com</li></ul>Compensation Structure<ul><li>This engagement is compensated on a milestone basis. Payment is tied directly to delivered outcomes, not hours worked.</li></ul>We seek professionals who focus on execution and results. This role suits individuals who can quickly diagnose operational inefficiencies and implement practical AI-driven solutions.Job Type: Contract Contract length: 6 monthsWork Location: Hybrid remote in Islamabad I-10/Markaz

AI & ML Automation Consultant (Project-Based)

Builder Lead Converter

<div>
 
 Builder Lead Converter
 
 
 
 
 AI Agent Specialist
 
 
 
 
 Builder Lead Converter
 
 is hiring an
 
 AI Agent Specialist
 
 to design, build, and maintain intelligent AI agents that automate workflows, integrate with our tech stack, and drive real business impact for our internal teams and clients.
 
 
 This role sits at the intersection of
 
 AI, automation, and systems thinking
 
 . You'll work with LLMs, APIs, and automation platforms to deploy AI agents that go far beyond basic chatbots--supporting operations, marketing, customer support, and internal efficiency at scale.
 
 
 If you enjoy turning complex, messy processes into clean, automated systems--and want your work to directly impact growing businesses--this role is for you.
 
 
 
 About Builder Lead Converter
 
 
 
 
 Builder Lead Converter (BLC)
 
 is a marketing and technology agency serving
 
 home builders, remodelers, and construction-focused businesses across the U.S.
 
 We specialize in high-performance websites, automation, CRM systems, analytics, and scalable operational processes.
 
 
 
 We're Known For
 
 
 
 <ul>
 <li>
 Strong technical execution
 </li>
 <li>
 Clear systems and SOPs
 </li>
 <li>
 Deep understanding of builder and contractor workflows
 </li>
 <li>
 A culture that values ownership, documentation, and continuous improvement
 
 
 </li>
 </ul>
 As we continue to expand our use of AI internally and across client systems, we're investing in this role to help us build
 
 production-ready AI agents
 
 that create measurable efficiency and value.
 
 
 
 Full Job Description
 
 
 
 
 About the Role
 
 
 
 As an
 
 AI Agent Specialist
 
 , you'll be responsible for creating and managing AI-powered agents that support internal operations, marketing workflows, CRM processes, and customer-facing systems.
 
 
 You'll collaborate closely with leadership, developers, and non-technical stakeholders to:
 
 
 <ul>
 <li>
 Identify automation opportunities
 </li>
 <li>
 Design AI agent logic and workflows
 </li>
 <li>
 Deploy, test, document, and improve intelligent systems over time
 
 
 </li>
 </ul>
 This is a
 
 hands-on builder role
 
 , not a research or purely theoretical position.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and deploy AI agents using LLMs (e.g., OpenAI, Anthropic, etc.)
 </li>
 <li>
 Build multi-step agent workflows (decision-making, memory, tool usage)
 </li>
 <li>
 Integrate AI agents with platforms such as:
 </li>
 <li>
 CRMs (including Go High Level)
 </li>
 <li>
 WordPress and web applications
 </li>
 <li>
 Marketing and analytics tools
 </li>
 <li>
 Internal dashboards and systems
 </li>
 <li>
 Create automations using tools like:
 </li>
 <li>
 Zapier, Make, n8n, or similar
 </li>
 <li>
 Custom API integrations
 </li>
 <li>
 Implement prompt frameworks, guardrails, and evaluation logic
 </li>
 <li>
 Optimize AI agents for:
 </li>
 <li>
 Accuracy
 </li>
 <li>
 Cost efficiency
 </li>
 <li>
 Reliability in real-world use
 </li>
 <li>
 Document systems and contribute to internal SOPs
 </li>
 <li>
 Monitor performance and iterate based on feedback and results
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong understanding of LLMs and prompt engineering
 </li>
 <li>
 Experience building or deploying AI agents or advanced automations
 </li>
 <li>
 Comfortable working with APIs, JSON, and structured data
 </li>
 <li>
 Experience with at least one automation platform (Make, Zapier, n8n, etc.)
 </li>
 <li>
 Strong systems thinker who can break down complex workflows into logic
 </li>
 <li>
 Ability to explain technical concepts to non-technical stakeholders
 </li>
 <li>
 Organized, detail-oriented, and documentation-driven
 
 
 </li>
 </ul>
 
 Nice-to-Have (Not Required)
 
 
 
 <ul>
 <li>
 Experience with:
 </li>
 <li>
 LangChain, OpenAI Assistants, or similar frameworks
 </li>
 <li>
 Vector databases and embeddings
 </li>
 <li>
 WordPress or headless CMS environments
 </li>
 <li>
 CRM platforms beyond Go High Level
 </li>
 <li>
 Basic JavaScript or Python
 </li>
 <li>
 Experience deploying AI in real business environments, not just demos
 
 
 </li>
 </ul>
 
 Work Schedule &amp; Availability
 
 
 
 <ul>
 <li>
 Core office hours: 8:00 AM - 5:00 PM CST, Monday-Friday
 </li>
 <li>
 We offer flexibility to start up to 4 hours earlier in the day
 </li>
 <li>
 This is a remote position, but collaboration during shared business hours is important
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive base salary: $1,500 to $2,000
 </li>
 <li>
 Paid Time Off (PTO)
 </li>
 <li>
 Floating holidays
 </li>
 <li>
 Opportunity to earn quarterly performance bonuses
 </li>
 <li>
 Profit sharing eligibility after 3 years of service
 </li>
 <li>
 Work with modern, evolving tech systems and a team that values smart automation
 
 
 </li>
 </ul>
 
 Our Tech Stack (Includes but Not Limited To)
 
 
 
 <ul>
 <li>
 Go High Level
 </li>
 <li>
 WordPress
 </li>
 <li>
 Jira
 </li>
 <li>
 Trello
 </li>
 <li>
 Automation platforms (Zapier, Make, n8n, etc.)
 </li>
 <li>
 Analytics, marketing, and CRM tools
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 AI agents are reliable, maintainable, and trusted by the team
 </li>
 <li>
 Automations reduce manual effort and improve consistency
 </li>
 <li>
 Systems are clearly documented and easy to extend
 </li>
 <li>
 You proactively identify opportunities to improve workflows using AI
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please send:
 
 
 <ul>
 <li>
 A brief overview of your experience with AI agents or automation
 </li>
 <li>
 Examples of systems you've built (Looms, screenshots, GitHub, or descriptions)
 </li>
 <li>
 Optional: your favorite tools or frameworks and why you like them
 </li>
 </ul>
</div>

AI Agent Specialist

<div>Builder Lead Converter

AI Agent Specialist 
Builder Lead Converter is hiring an AI Agent Specialist to design, build, and maintain intelligent AI agents that automate workflows, integrate with our tech stack, and drive real business impact for our internal teams and clients. 
This role sits at the intersection of AI, automation, and systems thinking. You'll work with LLMs, APIs, and automation platforms to deploy AI agents that go far beyond basic chatbots-supporting operations, marketing, customer support, and internal efficiency at scale. 
If you enjoy turning complex, messy processes into clean, automated systems-and want your work to directly impact growing businesses-this role is for you. 
About Builder Lead Converter

Builder Lead Converter (BLC) is a marketing and technology agency serving home builders, remodelers, and construction-focused businesses across the U.S. We specialize in high-performance websites, automation, CRM systems, analytics, and scalable operational processes.

We're known for:
<ul>
<li>Strong technical execution</li>
<li>Clear systems and SOPs</li>
<li>Deep understanding of builder and contractor workflows</li>
<li>A culture that values ownership, documentation, and continuous improvement</li>
</ul>
As we continue to expand our use of AI internally and across client systems, we're investing in this role to help us build production-ready AI agents that create measurable efficiency and value. 
Full Job Description

About the Role

As an AI Agent Specialist, you'll be responsible for creating and managing AI-powered agents that support internal operations, marketing workflows, CRM processes, and customer-facing systems.

You'll collaborate closely with leadership, developers, and non-technical stakeholders to:
<ul>
<li>Identify automation opportunities</li>
<li>Design AI agent logic and workflows</li>
<li>Deploy, test, document, and improve intelligent systems over time</li>
</ul>
This is a hands-on builder role, not a research or purely theoretical position. 
What You'll Do
<ul>
<li>Design and deploy AI agents using LLMs (e.g., OpenAI, Anthropic, etc.)</li>
<li>Build multi-step agent workflows (decision-making, memory, tool usage)</li>
<li>Integrate AI agents with platforms such as:</li>
<li>CRMs (including Go High Level)</li>
<li>WordPress and web applications</li>
<li>Marketing and analytics tools</li>
<li>Internal dashboards and systems</li>
<li>Create automations using tools like:</li>
<li>Zapier, Make, n8n, or similar</li>
<li>Custom API integrations</li>
<li>Implement prompt frameworks, guardrails, and evaluation logic</li>
<li>Optimize AI agents for:</li>
<li>Accuracy</li>
<li>Cost efficiency</li>
<li>Reliability in real-world use</li>
<li>Document systems and contribute to internal SOPs</li>
<li>Monitor performance and iterate based on feedback and results</li></ul> 


Required Skills &amp; Experience
<ul>
<li>Strong understanding of LLMs and prompt engineering</li>
<li>Experience building or deploying AI agents or advanced automations</li>
<li>Comfortable working with APIs, JSON, and structured data</li>
<li>Experience with at least one automation platform (Make, Zapier, n8n, etc.)</li>
<li>Strong systems thinker who can break down complex workflows into logic</li>
<li>Ability to explain technical concepts to non-technical stakeholders</li>
<li>Organized, detail-oriented, and documentation-driven</li></ul> 


Nice-to-Have (Not Required)
<ul>
<li>Experience with:</li>
<li>LangChain, OpenAI Assistants, or similar frameworks</li>
<li>Vector databases and embeddings</li>
<li>WordPress or headless CMS environments</li>
<li>CRM platforms beyond Go High Level</li>
<li>Basic JavaScript or Python</li>
<li>Experience deploying AI in real business environments, not just demos</li></ul> 


Work Schedule &amp; Availability
<ul>
<li>Core office hours: 8:00 AM - 5:00 PM CST, Monday-Friday</li>
<li>We offer flexibility to start up to 4 hours earlier in the day</li>
<li>This is a remote position, but collaboration during shared business hours is important</li></ul> 


Compensation &amp; Benefits
<ul>
<li>Competitive base salary: $1,500 to $2,000</li>
<li>Paid Time Off (PTO)</li>
<li>Floating holidays</li>
<li>Opportunity to earn quarterly performance bonuses</li>
<li>Profit sharing eligibility after 3 years of service</li>
<li>Work with modern, evolving tech systems and a team that values smart automation</li></ul> 


Our Tech Stack (Includes but Not Limited To)
<ul>
<li>Go High Level</li>
<li>WordPress</li>
<li>Jira</li>
<li>Trello</li>
<li>Automation platforms (Zapier, Make, n8n, etc.)</li>
<li>Analytics, marketing, and CRM tools</li></ul> 


What Success Looks Like
<ul>
<li>AI agents are reliable, maintainable, and trusted by the team</li>
<li>Automations reduce manual effort and improve consistency</li>
<li>Systems are clearly documented and easy to extend</li>
<li>You proactively identify opportunities to improve workflows using AI</li></ul> 


How to Apply

Please send:
<ul>
<li>A brief overview of your experience with AI agents or automation</li>
<li>Examples of systems you've built (Looms, screenshots, GitHub, or descriptions)</li>
<li>Optional: your favorite tools or frameworks and why you like them</li></ul></div>

Python Technologies

Job Title: AI Engineer (2+ Years Experience) Location: Onsite &ndash; DHA Phase 2, Islamabad Job Type: Full-time Working Hours: 6:00 PM &ndash; 2:00 AM (Evening/Night Shift)About the Role: We are looking for a skilled and motivated AI Engineer with at least 2+ years of hands-on experience to join our team onsite at our DHA Phase 2 Islamabad office. You will be responsible for designing, developing, and deploying AI-powered solutions across various products and client projects. This role is ideal for someone who enjoys building real-world AI applications and working in a fast-paced environment.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML models and AI-driven applications</li><li>Build and integrate LLM-based features (chatbots, automation tools, AI assistants, etc.)</li><li>Work with APIs, vector databases, and model integrations</li><li>Optimize models for performance, scalability, and accuracy</li><li>Collaborate with product, backend, and frontend teams to deliver AI solutions</li><li>Conduct testing, evaluation, and continuous improvement of AI systems</li><li>Stay updated with the latest AI trends, tools, and frameworks</li></ul>Requirements:<ul><li>Minimum 2+ years of experience in AI/ML or related field</li><li>Strong proficiency in Python</li><li>Experience with LLMs, OpenAI APIs, LangChain, or similar frameworks</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience with REST APIs, databases, and cloud services</li><li>Understanding of prompt engineering, RAG pipelines, or AI automation workflows</li><li>Strong problem-solving and debugging skills</li><li>Good communication and teamwork abilities</li></ul>Nice to Have:<ul><li>Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)</li><li>Experience deploying AI applications to production</li><li>Knowledge of Docker, CI/CD, or cloud platforms (AWS, GCP, Azure)</li></ul>What We Offer:<ul><li>Competitive salary based on experience</li><li>Opportunity to work on cutting-edge AI products</li><li>Growth-focused and collaborative environment</li><li>Long-term career opportunities</li></ul>Location &amp; Timing: This is a strictly onsite position at our office in DHA Phase 2, Islamabad. Working hours are 6:00 PM to 2:00 AM.Job Type: Full-timePay: Rs70,000.00 per monthWork Location: In person

AI Engineer

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp, ONNX and similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li></ul><ul><li>
Excellent programming skills in C++, experience in Javascript is a bonus</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

AI Inference Engineer QVAC (100% remote Worldwide)

Explore 119+ Artificial intelligence specialist in Islamabad this March. Find roles across top companies and apply now to boost your career.

119 artificial intelligence specialist jobs In Islamabad

AI Engineer – AI Automation (Night Shift)

FED TA DigitalHub - Mid STTA AI / Machine Learning Specialist/Developer

AI & ML Automation Consultant (Project-Based)

AI Agent Specialist

AI Agent Specialist

AI Engineer

AI Inference Engineer QVAC (100% remote Worldwide)