.net (ai prompt engineer)

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net ai prompt engineer

Teranoid Busniess Solutions

.NET (AI Prompt Engineer)We are looking for an experienced ASP.NET Developer with AI Prompt Engineering expertise to join our team. The ideal candidate will have strong command over the .NET platform, along with hands-on experience in integrating AI solutions and designing effective prompts for modern applications.This role combines backend development with AI innovation to build intelligent, scalable, and user-focused systems.Key Responsibilities<ul><li>Design, develop, and maintain web applications using C#, ASP.NET MVC/Core, and Web API.</li><li>Integrate AI-powered features using APIs such as OpenAI API or similar platforms.</li><li>Design and optimize prompts to ensure accurate, structured, and high-quality AI responses.</li><li>Work with MS SQL Server to write queries, optimize performance, and ensure data integrity.</li><li>Collaborate with project managers and team members to analyze requirements and deliver AI-enhanced solutions.</li><li>Build intelligent workflows such as chatbots, content generators, and automation tools.</li><li>Write clean, efficient, and maintainable code following best practices.</li><li>Troubleshoot, debug, and upgrade existing applications.</li><li>Integrate third-party APIs, web services, and AI-based systems.</li><li>Participate in code reviews and contribute to technical and prompt documentation.</li></ul>Required Skills<ul><li>4&ndash;5 years of professional experience in ASP.NET development.</li><li>Strong proficiency in C#, .NET Framework / .NET Core.</li><li>Hands-on experience with MS SQL Server, Entity Framework, and LINQ.</li><li>Experience integrating AI APIs and working with LLM-based systems.</li><li>Strong understanding of prompt engineering techniques (context design, role prompting, output structuring).</li><li>Good knowledge of JavaScript, jQuery, AJAX, HTML5, CSS3 (Angular/React is a plus).</li><li>Familiarity with REST APIs, JSON handling, and web standards.</li><li>Experience with version control systems (e.g., Git).</li><li>Strong understanding of OOP principles and design patterns.</li></ul>AI / Prompt Engineering Skills<ul><li>Ability to design prompts for different use cases (chatbots, automation, content generation).</li><li>Optimize prompts for accuracy, tone, and consistency.</li><li>Handle AI responses, validation, and fallback logic in applications.</li><li>Experience with AI-driven features like:</li><li>Smart assistants</li><li>Auto content generation</li><li>Recommendation systems</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical abilities.</li><li>Excellent communication and teamwork skills.</li><li>Ability to work independently and manage multiple tasks.</li><li>Passion for continuous learning in AI and emerging technologies.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li></ul>Bonus / Nice to Have<ul><li>Experience with Azure AI or cloud-based AI services</li><li>Prior work on AI-powered SaaS or automation tools</li><li>Understanding of AI limitations, hallucination handling, and response validation</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthWork Location: In person

.NET (AI Prompt Engineer)

CSG Architecture

Location: On-site (Full-time) &mdash; CSG Info Tech Office, Phase 7, Bahria Town, IslamabadReporting To: Project DirectorSalary Package: PKR 300,000 to PKR 500,000 per month.Role Purpose:We need a hands-on Senior Technical Project Manager who can lead end-to-end delivery of our enterprise transformation program, including:<ul><li>Microsoft Dynamics 365 Business Central (BC) customization + new modules,</li><li>Primavera (P6) integration with Business Central integration via APIs, and</li><li>A complete AI Agents program:</li></ul>&middot; Module AI Agents (one per BC module) trained on best practices + international standards and embedded to guide users step-by-step.&middot; A Master AI Agent with three capabilities:a) Horizon scanning + strategic planning (research &rarr; reports &rarr; long-term strategy)b) Market research + market plan generation (niche, customer base, buying power, competition, GTM plan)c) AI Voice Sales Agent (high-volume outbound calling capability) designed and governed with legal/ethical controls.This role owns both delivery leadership and technical governance (architecture reviews, CI/CD, integration quality, AI safety/compliance, and operational readiness).Key Responsibilities:1) Program &amp; Project Delivery Leadership (ERP + Integration + AI)<ul><li>Own the Project Execution Plan (PEP): scope baseline, schedule, resource/capacity plan, quality plan, risk plan, and communications plan.</li><li>Run the full delivery cadence: sprint planning, daily stand-ups, sprint reviews, retrospectives, and milestone gate meetings.</li><li>Manage and report scope/schedule/effort, RAID, dependencies, and change control to ensure predictable delivery.</li><li>Establish governance for multi-stream delivery (BC modules, Primavera integration, AI agents) including release train planning and cutover strategy.</li><li>Coordinate stakeholders (Project Director, Technical Supervisor/Lead, developers, QA, business users, external vendors).</li></ul>2) Azure DevOps Platform Ownership (End-to-End)<ul><li>Configure and administer Azure DevOps Projects:</li><li>Azure Boards: Epics/Features/Stories/Tasks/Bugs hierarchy, workflows, fields, dashboards, delivery plans, queries, and reporting.</li><li>Azure Repos: branching strategy, PR policies, code review rules, repo governance.</li><li>Azure Pipelines: CI/CD pipelines, release workflows, environment approvals, secrets management, rollback strategy.</li><li>Other Tools: Such as MS Fabric and Testing Tools etc.</li><li>Enforce &ldquo;ways of working&rdquo; discipline:</li><li>No work without work items</li><li>Estimation rules and sprint planning discipline</li><li>Daily updates of remaining work</li><li>Strong Definition of Done (DoD) and acceptance criteria at story/feature level</li></ul>3) Primavera integration with Business Central Integration (API Program Leadership)<ul><li>Lead and supervise the full integration lifecycle:</li><li>Requirements, integration architecture, mapping, API design, error handling, performance targets, security design, and documentation.</li></ul><ul><li>Ensure robust integration patterns:</li><li>Authentication/authorization (e.g., OAuth2/Azure AD), role-based access, audit logs</li><li>Retry logic, idempotency, reconciliation, monitoring/alerts</li><li>Manage integration testing: SIT/UAT, data validation, edge cases, cutover/go-live readiness.</li><li>Coordinate any middleware approach (e.g., Azure Functions/Logic Apps/Service Bus/API Management) as needed for reliable orchestration.</li></ul>4) AI Agents Program Leadership (Module Agents + Master Agent)A) Module AI Agents (one per module)<ul><li>Define a repeatable blueprint for module agents:</li><li>Knowledge scope (policies, SOPs, best practices, international standards)</li><li>User guidance flows (how-to, validations, coaching, checklists)</li><li>Access control by role (who can ask/see what)</li><li>Supervise technical approach (RAG, knowledge base governance, content updates, agent evaluations).</li><li>Ensure each module agent delivers:</li><li>Accurate operational guidance aligned to approved SOPs</li><li>Traceable sources/knowledge references (internal docs)</li><li>Feedback loop for continuous improvement</li></ul>B) Master AI Agent (3-level capability)<ul><li>Horizon scanning for long-term strategy</li><li>Build research workflows and reporting templates</li><li>Produce structured outputs: trends, risks, opportunities, scenarios, strategic initiatives and roadmap</li></ul><ul><li>Market research for market plan</li><li>Research niche, segmentation, customer base, pricing, competitor landscape, channels, GTM plan</li><li>Convert findings into a clear marketing plan (positioning, funnel, budget logic, KPIs)</li><li>AI voice sales agent</li><li>Lead design and governance for outbound calling capability at scale</li><li>Implement controls: consent, DNC compliance, call recording policy, escalation to human, QA sampling, and script/version control</li><li>Define KPIs: connect rate, qualification rate, conversion rate, compliance rate, and customer satisfaction</li></ul>5) Quality, Security, and Engineering Governance<ul><li>Partner with the Technical Supervisor/Lead to enforce:</li><li>PR discipline, code quality gates, branching policy, peer reviews</li><li>Automated testing where feasible; structured manual testing where needed</li><li>Defect lifecycle management, regression control, release readiness</li><li>Track engineering metrics: defect trends, rework ratio, lead/cycle time, deployment success rate, change failure rate.</li><li>Ensure security and compliance basics across ERP + integrations + AI:</li><li>Secrets management, least-privilege access, audit logs, data protection, and environment controls.</li></ul>6) Collaboration &amp; Documentation Governance (Teams + SharePoint/OneDrive)<ul><li>Configure Azure DevOps with Teams integration (alerts for work items/PRs/ builds/releases) and Time Doctor etc.</li><li>Build a structured SharePoint/Teams documentation system for:</li><li>PEP, BRDs/FRDs, designs, test artifacts, change requests, training, cutover/go-live checklists.</li><li>Implement SharePoint/OneDrive approvals for governance gates (requirements/design/UAT/go-live).</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science / Software Engineering (or equivalent experience).</li><li>8+ years in software delivery, including 3+ years as Technical PM / Scrum Master / Delivery Lead / TPM.</li><li>Proven delivery experience of enterprise applications (ERP/CRM/large-scale business systems).</li><li>Strong hands-on experience with Azure DevOps (Boards, Repos, Pipelines).</li><li>Strong understanding of Agile/Scrum + Hybrid governance (waterfall gates + sprint execution).</li><li>Excellent communication, reporting, stakeholder management, and team leadership skills.</li></ul>Must-Have Technical Skills<ul><li>.NET / C# understanding (able to review code and unblock engineers).</li><li>Azure fundamentals: App Services/Functions, Key Vault, Storage, Azure SQL (working knowledge).</li><li>API integrations: REST, authentication, webhooks, error handling, logging/monitoring.</li><li>SQL: query ability + performance basics.</li><li>Git branching strategies + PR best practices + CI/CD concepts.</li></ul>Preferred / High-Value Experience<ul><li>Dynamics 365 Business Central: AL language, extensions, BC APIs, permissions, environments.</li><li>Primavera P6 integration: experience with P6 APIs (EPPM/REST) and schedule/cost/resource data mapping.</li><li>Azure Integration Services: API Management, Service Bus, Logic Apps, Functions (or equivalent).</li><li>Power BI for executive dashboards and delivery reporting.</li><li>Test management: SIT/UAT planning, release readiness, production cutovers.</li></ul>AI / Agent Expertise (Preferred)<ul><li>Experience managing delivery of AI assistants/agents in enterprise settings:</li><li>Knowledge base governance, evaluation/testing, prompt/version control, role-based access.</li><li>Familiarity with agent orchestration patterns (multi-agent workflows, tool/function calling).</li><li>Understanding of RAG architecture (Azure OpenAI + Azure AI Search or equivalent) and secure integration into ERP modules.</li></ul>Key Deliverables / Success Measures (KPIs)<ul><li>PEP established and maintained; cadence running consistently.</li><li>Reliable forecasting and visibility via Azure DevOps dashboards and reports.</li><li>Stable CI/CD pipelines with controlled releases and reduced deployment risk.</li><li>Successful Primavera &harr; BC integration: accurate data flow, monitoring, auditability, and low defect rate.</li><li>Deployment of module AI agents with measurable improvement in user adoption, process compliance, and reduced support load.</li><li>Master AI agent producing usable strategy/market outputs on a repeatable schedule.</li><li>AI voice agent delivered with compliance controls, QA process, and conversion KPIs.</li></ul>Working Model<ul><li>Full-time, on-site (Islamabad office) with direct coordination across developers, QA, business users, and leadership.</li></ul>May coordinate/work with external vendors/consultants/developers as required, but remains accountable for delivery outcomes.Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Technical Project Manager (Software Engineering Background)

Value Engineering

We are looking for a creative and detail-oriented Video Editor who specializes in AI-based B-roll creation and integration. The ideal candidate will be skilled in editing engaging videos using a combination of traditional footage and AI-generated visuals to enhance storytelling for marketing, social media, and corporate content.Key Responsibilities<ul><li>Edit high-quality videos for social media, marketing campaigns, corporate presentations, and digital platforms</li><li>Create and integrate AI-generated B-roll footage to complement primary video content</li><li>Use AI tools to generate visuals, stock-style clips, motion elements, and background scenes</li><li>Enhance videos with transitions, sound design, subtitles, text overlays, and basic motion graphics</li><li>Ensure visual consistency, brand alignment, and storytelling flow</li><li>Optimize videos for different platforms (LinkedIn, Instagram, YouTube, TikTok, etc.)</li><li>Collaborate with marketing, content, and creative teams to understand project requirements</li><li>Stay updated with emerging AI video tools and trends</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience as a Video Editor (portfolio required)</li><li>Hands-on experience with AI-based video or B-roll tools (e.g., Runway, Pika, Sora-like tools, Kaiber, Midjourney video workflows, or similar)</li><li>Proficiency in video editing software such as Adobe Premiere Pro, After Effects, Final Cut Pro, or DaVinci Resolve</li><li>Strong understanding of storytelling, pacing, and visual composition</li><li>Basic knowledge of motion graphics and animations</li><li>Ability to meet deadlines and manage multiple projects</li><li>Good communication and collaboration skills</li></ul>Preferred Qualifications<ul><li>Experience editing content for digital marketing and social media</li><li>Familiarity with prompt engineering for AI video generation</li><li>Knowledge of branding and content strategy</li><li>Experience working with short-form and long-form video formats</li></ul>Job Type: Full-timeWork Location: In personJob Type: Full-timeWork Location: In person

AI Video Editor

Ecom Giga Private Limited

Role OverviewWe are looking for a high-skill Image Designer to create winning designs for Print-on-Demand (POD) products sold on Etsy.You will use AI tools and Photoshop to produce high-quality, aesthetic designs based on proven winning products. This role is critical to our business - strong designs = strong profits. This is a long-term role where you will learn valuable design and E-com Skills.Key Responsibilities1) AI Design Creation<ul><li>Use AI tools (Midjourney, Gemini, ChatGPT, etc.) to generate designs based on references we provide</li><li>Re-prompt and refine until high-quality results are achieved</li><li>Select only the best designs (strong aesthetic judgment required</li></ul>2️) Design Editing &amp; Enhancement<ul><li>Improve AI-generated designs using Photoshop</li><li>Clean up artefacts, adjust colours, improve sharpness</li><li>Ensure designs are print-ready and high resolution</li></ul>3️) Mock-up &amp; Product Image Creation<ul><li>Insert final designs into PSD mock-up templates</li><li>Create polished product images for Etsy listings</li><li>Follow our image layout and branding standards</li></ul>4️)System &amp; SOP Compliance<ul><li>Follow our step-by-step design systems</li><li>Maintain consistent quality across all designs</li><li>Meet daily/weekly production targets</li></ul>Required Skills &amp; Experience Must-Have<ul><li>Strong experience with AI image tools (Midjourney / similar)</li><li>Advanced Photoshop skills (PSD, layers, smart objects, mock-ups)\</li><li>Good eye for design, colour, and composition</li><li>Ability to identify &ldquo;winning&rdquo; vs &ldquo;weak&rdquo; designs</li><li>Attention to detail</li><li>Reliable internet &amp; computer</li></ul>Preferred (Bonus)<ul><li>Experience with Etsy / POD / e-commerce</li><li>Knowledge of print formats &amp; DPI</li><li>Experience creating desk mats, posters, blankets, tapestries</li></ul>Performance ExpectationsYou will be expected to:<ul><li>Produce high-quality designs daily</li><li>Maintain consistent aesthetic standards</li><li>Improve speed and output over time</li><li>Accept feedback and revise designs quickly</li><li>Focus on commercial performance (not just &ldquo;art&rdquo;)</li><li>Low-quality output = wasted time and money - Quality is essential for this role.</li></ul>Working Hours &amp; Availability<ul><li>Full-time Role</li><li>Minimum: 40 hrs/week</li></ul>Must be responsive during agreed working hours.Job Type: Full-timePay: Rs50,000.00 - Rs55,000.00 per monthWork Location: In person

POD Image Designer (AI + Photoshop Specialist)

Role OverviewReporting to AI Lead / Solution Architect, this is a senior technical leadership role responsible for:&middot; Designing and deploying state-of-the-art LLMs and multi-modal AI models.&middot; Implementing agentic AI systems with RAG, self-RAG, and memory-optimized architectures.&middot; Leading cloud-based GPU LLM training pipelines, including data labeling, preprocessing, model training, and post-processing.&middot; Extending AI models into front-end applications and back-end pipelines.&middot; Managing staging, development, and production environments with SSH deployment and editing.Driving complex problem-solving, critical thinking, and innovative AI solutionsKey Responsibilities1. LLM Cloud Training &amp; Pipelines (Mandatory)&middot; Design and deploy LLM training pipelines on cloud GPU infrastructure.&middot; Manage data labeling, preprocessing, and post-processing for training datasets.&middot; Optimize model training, memory usage, and inference efficiency.&middot; Implement RAG-based pipelines, agentic RAG, and self-RAG for knowledge augmentation.2. Deep Learning &amp; Model Development&middot; Research, design, and implement Transformers, Vision Transformers, Diffusion Models.&middot; Optimize SAM models for tabular and image data, including preprocessing and post-processing.&middot; Implement multi-modal AI pipelines (text, image, video).&middot; Develop agentic AI models with adaptive memory and reasoning.3. Agentic AI &amp; Orchestration&middot; Design agent frameworks with orchestration, inter-agent communication, and protocol management.&middot; Integrate LangChain, LangGraph, or custom agent pipelines.&middot; Ensure AI agents are robust, scalable, and production-ready.4. Machine Learning for Real-World Data&middot; Implement ML models for tabular, image, and multi-modal data.&middot; Preprocess, normalize, and feature-engineer datasets for SAM and other model types.&middot; Translate research models into production pipelines with RAG augmentation.5. Front-End &amp; Back-End AI Integration&middot; Extend AI models into front-end applications (interactive AI features).&middot; Integrate AI models into back-end services for low-latency inference.&middot; Ensure seamless integration between AI models and application architecture.6. Production AI Infrastructure &amp; Deployment&middot; Deploy AI models on MCP / GPU servers, distributed clusters, or cloud infrastructure.&middot; Manage staging, dev, and production environments, including SSH deployment, editing, and version control.&middot; Implement monitoring and observability using Prometheus, Grafana, and custom dashboards.&middot; Maintain CI/CD for AI models, training pipelines, and data workflows, including Git/GitHub workflow management.7. Research to Production Translation&middot; Bring experimental AI models into production-grade systems.&middot; Validate model performance, reliability, and safety.&middot; Implement reproducibility, versioning, and automated retraining pipelines.8. Mentorship &amp; Leadership&middot; Mentor junior AI engineers and researchers.&middot; Establish best practices for AI experimentation, deployment, and RAG/agentic architectures.&middot; Contribute to AI roadmap and enterprise AI strategy.Required Experience&middot; 5+ years AI / Deep Learning / Research &amp; Production experience.&middot; Mandatory: Hands-on experience in LLM training pipelines, including cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing.&middot; Deep knowledge of Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines.&middot; Hands-on experience with SAM models, tabular data ML, and preprocessing pipelines.&middot; Experience managing staging, dev, and production environments with SSH deployment, editing, and Git/GitHub workflow.&middot; Strong Computer Vision and Image Processing skills.&middot; Experience with agent orchestration, LangChain, LangGraph, and protocol optimization.&middot; Proven problem-solving, critical thinking, and innovative AI solution delivery.&middot; Experience integrating AI into front-end and back-end systems.Preferred Experience&middot; Experience with generative AI, diffusion models, multi-modal agents.&middot; Optimizing LLM memory, inference, and fine-tuning at scale.&middot; Experience in production RAG pipelines and knowledge-augmented AI systems.Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as a AI Engineer??</li></ul>Work Location: In person

AI Engineer

One Network

AI Engineer to lead the development of intelligent AI solutions, including chatbots, resume parsers, document automation tools, and conversational AI systems. You will own the end-to-end AI pipeline&mdash;from research and prototyping to deployment and optimization&mdash;delivering scalable, production-ready AI applications that improve efficiency and user experience..Duties &amp; Responsibilities<ul><li>Design and develop AI-powered chatbots and virtual assistants for customer support, internal workflows, and conversational interfaces.</li><li>Build intelligent document processing systems, including resume/CV parsers, contract analyzers, and automated data extraction pipelines.</li><li>Develop LLM-based agents for question-answering, compliance validation, sentiment analysis, and content summarization.</li><li>Create and optimize RAG (Retrieval-Augmented Generation) systems for accurate, context-aware information retrieval and generation.</li><li>Fine-tune and deploy open-source and proprietary LLMs (e.g., Llama, Mistral) for domain-specific applications.</li><li>Implement end-to-end AI solutions using Python and frameworks like PyTorch, TensorFlow, or equivalent.</li><li>Apply Computer Vision tools (YOLO, OpenCV) for document layout analysis and image-based data extraction.</li><li>Collaborate with cross-functional teams to integrate AI solutions into production systems.</li><li>Continuously research and adopt emerging AI technologies to enhance system capabilities.</li></ul>QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Required Skills<ul><li>3&ndash;5 years of hands-on experience in AI/ML development, preferably in NLP, document automation, or conversational AI.</li><li>Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, HuggingFace).</li><li>Experience with resume parsing, document automation, or information extraction systems.</li><li>Familiarity with LLM architectures, fine-tuning, and deployment.</li><li>Knowledge of Computer Vision techniques and tools for document or image processing.</li><li>Excellent problem-solving skills and ability to deliver production-ready AI applications.</li><li>Strong communication skills and ability to work collaboratively in a fast-paced environment.</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs160,000.00 per monthWork Location: In person

AI Lead Engineer

Web Metric

About the Role The Technical Coordinator keeps projects aligned and moving. You work across product, design, and engineering, catching gaps early, writing the documentation that prevents repeated questions, managing the boards that keep work visible, and building the automations that eliminate busywork. All written output is published from the CTO's Office, so clarity and accuracy are non-negotiable.Key Responsibilities - Review PRDs before they reach design and flag ambiguities, edge cases, and undefined behavior- Cross-reference Figma designs against requirements and implementations to surface gaps early- Write and maintain technical documentation across all active projects: READMEs, PRDs, API guides, SOPs, and runbooks- Own project boards in Linear or Jira milestones, owners, due dates, blockers, and weekly status summaries- Draft, test, version, and organize prompts for AI assistants, agents, and automation workflows- Identify repetitive tasks and ship automations using n8n, Zapier, Make, or custom scripts- Attend cross-functional syncs and document every decision, action item, owner, and deadline- Support rapid prototyping sessions by scaffolding projects, capturing ideas, and turning rough direction into structured specsRequirements - Strong technical writing ability: you can produce a PRD, a README, and an SOP with equal confidence- Fluency with project management tools, specifically Linear or Jira- Working knowledge of Git and comfort operating in a developer environment- Hands-on experience with prompt engineering and LLM-based workflows- Ability to build and maintain automations without engineering support- Detail-oriented enough to catch a missing screen in a Figma file or a scope mismatch in a ticket- Async-first communicator who writes clearly and follows through without being chased- Familiarity with Python, Bash, or JavaScript at a scripting level is a plusWhat You'll Own - A living alignment tracker per project mapping requirements to design to implementation- All technical documentation across active repositories and projects- A versioned, organized prompt library by project and use case- Every active project board groomed, current, and fully accountable- A central automation registry documenting every workflow the team runs on- Weekly status summaries surfacing what shipped, what's blocked, and what needs a decision- An idea backlog with enough context to resurrect any concept weeks after it was first raisedWork Location: In person

Technical Coordinator

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