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sales executive – architectural services (usa market) (night shift) Jobs in Lahore

ai architect

Datamatics Technologies

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

TechSea

<div>
 
 
 Location:
 
 On-site &ndash; Valencia Town, Lahore
 
 
 
 Job Timing
 
 : 1:00 PM &ndash; 10:00 PM (PKT)
 
 
 
 
 
 
 About TechSea
 
 
 
 TechSea is the leading AI-powered career services suite helping higher education institutions in the US prepare students for career success. We partner with colleges and universities in the US to scale modern career support across campuses&mdash;helping students with resume builders, AI resume review, cover letter generation, job search, interview preparation, CRM automation, campaign systems, data pipelines, integrations, and AI-driven workflows.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for an Engineering Manager who is not just a manager. This is a hands-on leadership role for someone who is equally comfortable leading a team and writing production code. You will work closely with the CTO to own engineering execution, drive architecture decisions, mentor developers, and personally build critical parts of the system from idea to production.
 
 
 The ideal candidate brings deep, hands-on experience across:
 
 <ul>
 <li>
 Node.js, React, MongoDB, Python, microservices, and distributed systems
 </li>
 <li>
 DevOps, Kubernetes, Helm, CI/CD, and cloud infrastructure
 </li>
 <li>
 AI workflows, LLM integrations, and production AI systems
 </li>
 </ul>
 
 What makes this role unique:
 
 <ul>
 <li>
 You will personally own and build important projects &mdash; not only assign and supervise them.
 </li>
 <li>
 You will lead engineers and earn their respect technically.
 </li>
 <li>
 You will convert vague product ideas into clear, executable technical plans.
 </li>
 <li>
 You will manage multiple projects simultaneously with clarity, speed, and quality.
 </li>
 </ul>
 
 This is a high-ownership, high-efficiency role for someone who loves to build, lead, mentor, research, debug, and ship.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Hands-On Technical Leadership &amp; Project Ownership
 
 
 <ul>
 <li>
 Personally own and build critical engineering projects from idea to production.
 </li>
 <li>
 Work directly on system architecture, backend services, frontend implementation, DevOps workflows, database design, APIs, workers, and AI integrations.
 </li>
 <li>
 Write, review, debug, and improve production code across Node.js, React, MongoDB, Python, Redis, OpenSearch, Kubernetes, Helm, CI/CD, and AI/LLM workflows.
 </li>
 <li>
 Build prototypes, proofs-of-concept, automation workflows, and production features.
 </li>
 <li>
 Lead by execution, not just delegation &mdash; jump into difficult problems and solve them.
 </li>
 </ul>
 
 
 2.Architecture &amp; Technical Direction
 
 
 <ul>
 <li>
 Lead technical direction across TechSea's full-stack SaaS products.
 </li>
 <li>
 Design, review, and improve architecture for microservices, APIs, background workers, queues, databases, AI systems, and DevOps workflows.
 </li>
 <li>
 Guide the team on system design, database structure, API design, performance, scalability, security, and maintainability.
 </li>
 <li>
 Define engineering standards for code quality, testing, documentation, observability, and production readiness.
 </li>
 <li>
 Review architecture proposals, technical plans, database schemas, and deployment strategies.
 </li>
 </ul>
 
 
 3. DevOps, Infrastructure &amp; Production Ownership
 
 
 <ul>
 <li>
 Lead and continuously improve DevOps practices across engineering.
 </li>
 <li>
 Work with Docker, Kubernetes, Helm, Rancher, GitHub Actions, CI/CD pipelines, cloud infrastructure, secrets management, ingress, load balancers, monitoring, and logging.
 </li>
 <li>
 Help the team deploy safely, debug production issues, and improve reliability.
 </li>
 <li>
 Support multi-environment workflows &mdash; development, staging, and production.
 </li>
 <li>
 Guide engineers to treat infrastructure as an integral part of product engineering.
 </li>
 </ul>
 
 
 4. AI, Research &amp; Modern Engineering Workflows
 
 
 <ul>
 <li>
 Research and evaluate new AI tools, LLM workflows, inference options, prompt strategies, AI APIs, and automation approaches.
 </li>
 <li>
 Help the team use AI tools for coding, debugging, documentation, QA, prototyping, architecture research, and productivity improvement.
 </li>
 </ul>
 
 Tools and concepts you should know or be able to learn quickly:
 
 <ul>
 <li>
 OpenAI APIs, Claude, Cursor, GitHub Copilot
 </li>
 <li>
 LLM-based workflows, prompt engineering, structured AI outputs, AI agents
 </li>
 <li>
 Python-based AI services, vLLM or similar inference servers
 </li>
 <li>
 Model deployment concepts, GPU-based inference basics, batch processing
 </li>
 </ul>
 
 
 5. Project Leadership &amp; Delivery Execution
 
 
 <ul>
 <li>
 Own engineering execution across multiple concurrent projects.
 </li>
 <li>
 Work with Product Managers, Designers, QA, Operations, and the CTO to convert product ideas into technical plans.
 </li>
 <li>
 Break large projects into milestones, tasks, owners, timelines, risks, and release plans.
 </li>
 <li>
 Track progress, identify blockers early, and communicate proactively with leadership.
 </li>
 <li>
 Balance speed with quality &mdash; push for delivery without compromising technical integrity.
 </li>
 </ul>
 
 
 6. Team Management &amp; Developer Performance
 
 
 <ul>
 <li>
 Lead, mentor, and grow the engineering team.
 </li>
 <li>
 Set clear expectations, assign work properly, review performance, and hold engineers accountable.
 </li>
 <li>
 Identify when someone is stuck, needs mentorship, is underperforming, or is ready for more responsibility.
 </li>
 <li>
 Build a culture of ownership, speed, quality, continuous learning, and accountability.
 </li>
 <li>
 Lead people firmly and respectfully &mdash; with both technical judgment and emotional intelligence.
 </li>
 </ul>
 
 
 7. Cross-Functional Communication
 
 
 <ul>
 <li>
 Bridge engineering, product, design, QA, operations, and leadership.
 </li>
 <li>
 Help non-technical teams understand technical trade-offs; help technical teams understand business priorities.
 </li>
 <li>
 Participate in product discovery, roadmap planning, sprint planning, technical reviews, and release discussions.
 </li>
 <li>
 Communicate risks early and ensure engineering stays aligned with company goals and product direction.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 7+ years of software engineering experience.
 </li>
 <li>
 2+ years in a technical leadership role &mdash; Engineering Manager, Technical Lead, Team Lead, Architect, or Senior Engineering Lead.
 </li>
 <li>
 Strong hands-on experience with Node.js and backend development.
 </li>
 <li>
 Strong experience with React.js and frontend engineering.
 </li>
 <li>
 Strong experience with MongoDB and practical database design.
 </li>
 <li>
 Experience with Python for scripting, automation, backend services, data processing, or AI workflows.
 </li>
 <li>
 Strong understanding of microservices, APIs, background workers, queues, caching, and distributed systems.
 </li>
 <li>
 Hands-on experience with Docker and CI/CD.
 </li>
 <li>
 Strong understanding of Kubernetes-based deployments.
 </li>
 <li>
 Experience with Helm charts, Kubernetes manifests, deployment workflows, or production DevOps systems.
 </li>
 <li>
 Experience managing engineers, reviewing work, mentoring developers, and improving team performance.
 </li>
 <li>
 Ability to lead architecture discussions and challenge technical decisions constructively.
 </li>
 <li>
 Ability to personally build, debug, and ship important parts of a system when needed.
 </li>
 <li>
 Ability to manage multiple projects and priorities simultaneously.
 </li>
 <li>
 Strong debugging skills across frontend, backend, database, infrastructure, and production systems.
 </li>
 <li>
 Strong communication skills with both technical and non-technical stakeholders.
 </li>
 <li>
 Ability to work effectively in a fast-moving startup environment where requirements evolve quickly.
 </li>
 <li>
 Strong research mindset and ability to learn new technologies quickly.
 </li>
 <li>
 Practical understanding of AI tools and modern AI-assisted engineering workflows.
 </li>
 </ul>
 
 
 
 
 
 Preferred / Nice-to-Have Qualifications
 
 
 <ul>
 <li>
 Experience working in a SaaS or fast-moving product company.
 </li>
 <li>
 Experience managing senior engineers, QA engineers, frontend, and backend developers.
 </li>
 <li>
 Experience building or scaling multi-tenant SaaS platforms.
 </li>
 <li>
 Experience with higher education technology, HR tech, career platforms, CRM systems, or job platforms.
 </li>
 <li>
 Experience with AI products, LLM integrations, AI agents, or AI-powered SaaS workflows.
 </li>
 <li>
 Experience with vLLM, GPU inference, model serving, or production AI model deployment.
 </li>
 <li>
 Experience with OpenAI, Claude, AWS Bedrock, LangChain, Cursor, or GitHub Copilot.
 </li>
 <li>
 Experience with RabbitMQ, BullMQ, Redis queues, or other event-driven systems.
 </li>
 <li>
 Experience with OpenSearch / Elasticsearch for search-heavy applications.
 </li>
 <li>
 Experience with monitoring tools such as Prometheus, Grafana, or Sentry.
 </li>
 <li>
 Experience hiring, interviewing, and growing engineering teams in Pakistan's software market.
 </li>
 <li>
 Experience improving engineering processes, team operating systems, and delivery culture.
 </li>
 </ul>
 
 
 
 
 
 Projects You May Lead and Build
 
 
 
 You may lead, architect, and directly contribute to projects such as:
 
 <ul>
 <li>
 AI resume review, resume builder, and advanced AI-powered rewrite workflows.
 </li>
 <li>
 Cover letter generation and job-based personalization systems.
 </li>
 <li>
 Interview preparation, mock interview, and question bank platforms.
 </li>
 <li>
 Job board search, ingestion, parsing, classification, and matching pipelines.
 </li>
 <li>
 High-volume data pipelines and background processing infrastructure.
 </li>
 <li>
 CRM automation and event-driven campaign workflows.
 </li>
 <li>
 Voice AI and call campaign infrastructure.
 </li>
 <li>
 Multi-tenant, school-specific platforms and white-label systems.
 </li>
 <li>
 SSO, authentication, authorization, and user access workflows.
 </li>
 <li>
 Admin dashboards, analytics, reporting, and customer-facing tools.
 </li>
 <li>
 AI model inference, batch processing, API orchestration, and automation systems.
 </li>
 </ul>
 
 
 
 
 
 Who Will Succeed in This Role
 
 
 
 You will thrive here if you are:
 
 <ul>
 <li>
 A technical leader who still loves engineering.
 </li>
 <li>
 A builder who wants to personally create products, not just manage people.
 </li>
 <li>
 An architect who understands trade-offs, scalability, and production reality.
 </li>
 <li>
 A researcher who can figure things out without waiting for perfect instructions.
 </li>
 <li>
 A mentor who helps developers grow and holds them accountable.
 </li>
 <li>
 A strong communicator who can handle difficult technical and people conversations.
 </li>
 <li>
 An AI power user who leverages modern tools to move faster.
 </li>
 <li>
 A calm decision-maker who thinks deeply but acts quickly.
 </li>
 <li>
 Someone who can carry multiple projects in their head and keep the team moving.
 </li>
 </ul>
 
 
 
 
 
 Who This Role Is Not For
 
 
 <ul>
 <li>
 Someone who has moved completely away from hands-on engineering.
 </li>
 <li>
 Someone who only wants to attend meetings, create tickets, and follow up on status.
 </li>
 <li>
 Someone who talks about architecture but cannot build real systems.
 </li>
 <li>
 Someone who waits for the CTO to make every architecture decision.
 </li>
 <li>
 Someone uncomfortable with DevOps, debugging, infrastructure, or production issues.
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Computer Engineering, or a related field is preferred.
 </li>
 <li>
 Equivalent hands-on experience, strong leadership history, and proven technical ability are also acceptable.
 </li>
 </ul>
</div>

Engineering Manager / Hands-On Technical Lead

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

CrecenTech

We&rsquo;re hiring a Full Stack Developer who builds faster and smarter with AI.If you actively use tools like Cursor, Windsurf, or GitHub Copilot to develop enterprise-grade applications (ERP, procurement systems, etc.), this role is for you. You&rsquo;ll own end-to-end development &mdash; from architecture to deployment &mdash; working across modern frontend and backend stacks, powered by AI to deliver speed without compromising quality.We&rsquo;re looking for someone who thrives in complex system development, understands scalability, and uses AI as a core part of their workflow &mdash; not just an add-on. If you can turn ideas into production-ready systems faster with AI, we want to talk.Key ResponsibilitiesApplication Development<ul><li>Architect, develop, and maintain full stack web applications</li><li>Build and enhance ERP modules and procurement workflows</li><li>Write clean, efficient, and well-documented code</li><li>Develop and integrate RESTful APIs and microservices</li></ul>AI-Assisted Development<ul><li>Leverage AI coding tools to accelerate development</li><li>Use prompt engineering to generate production-ready code, tests, and documentation</li><li>Review and refine AI-generated code for quality and security</li><li>Stay updated with latest AI tools and best practices</li></ul>Collaboration &amp; Delivery<ul><li>Work closely with product managers, designers, and analysts</li><li>Translate business requirements into technical solutions</li><li>Participate in Agile/Scrum ceremonies</li><li>Conduct code reviews and mentor junior developers</li><li>Ensure timely, high-quality feature delivery</li></ul>System Architecture &amp; DevOps<ul><li>Design scalable enterprise system architectures</li><li>Manage CI/CD pipelines and deployments</li><li>Optimize performance (APIs, databases, applications)</li><li>Implement security best practices</li></ul>Required Technical Skills<ul><li>Frontend: React.js Angular TypeScript JavaScript (ES6+) HTML5 / CSS3 Redux / State Management</li><li>Backend: Node.js PHP (Laravel/Core) Python (Django/Flask) </li></ul>REST API Design GraphQL Microservices Architecture<ul><li>Database &amp; Infrastructure: MySQL / PostgreSQL MongoDB Redis Docker Git / GitHub CI/CD Pipelines</li><li>AI Development Tools: Cursor AI Google Antigravity Windsurf / Codeium </li></ul>GitHub Copilot Claude / ChatGPT (Dev) AI Prompt Engineering LLM API Integration Required Experience<ul><li>4&ndash;5 years of hands-on full stack development experience</li><li>Proven experience delivering ERP, procurement, or enterprise systems</li><li>Strong experience with AI coding tools in professional environments</li><li>Expertise in at least:</li><li>2 Frontend frameworks (React, Angular)</li><li>2 Backend technologies (Node, PHP, Python)</li><li>Experience working in Agile/Scrum environments</li><li>Cloud experience (AWS, Azure, GCP) is a plus</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Software Engineering, or related field</li><li>Exceptional candidates without a degree but with strong portfolios may be considered</li></ul>Benefits and Incentives:<ul><li>13 Salaries Per Year (One Additional salary as a bonus)</li><li>Performance-Based Bonuses</li><li>Annual Leaves encashment</li><li>Monthly Regularity Allowance</li><li>Monthly Inflation Allowance</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Provident Fund</li><li>Double salary on Gazetted Holidays</li><li>Special Allowance for Emergency</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Advance Salary on Need Basis</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul>Application Question(s):<ul><li>Do you have experience working with AI/LLMs or integrating APIs like OpenAI?</li><li>Have you used any AI coding tools (e.g., GitHub Copilot, ChatGPT, Cursor)? Please specify.</li><li>What is your expected salary?</li><li>How many years of experience do you have in full stack development?</li></ul>Work Location: In person

AI-Driven Full Stack Developer

Phaedra Solutions

Location: Lahore (On-site)Experience: 10 YearsEmployment Type: Full-timeOpen Positions: 1SummaryWe are seeking an experienced Senior Business Analyst with strong expertise in pre-sales, client engagement, and solution collaboration within the technology services industry. The ideal candidate has worked closely with Solution Architects to translate business needs into structured technical documentation and solution blueprints.You will play a pivotal role in bridging business objectives with technical execution&mdash;ensuring solutions are feasible, scalable, and aligned with client expectations. Candidates familiar with AI-driven business tools, automation platforms, and data-driven decision-making will be preferred, as the company continues to integrate AI-assisted workflows across its operations.Key ResponsibilitiesPre-Sales Support &amp; Solution Collaboration<ul><li>Partner with the Solution Architect and Sales teams to understand client goals, technical requirements, and project scope.</li></ul><ul><li>Support the preparation of technical proposals, project estimates, and SOWs, ensuring clarity and alignment with client needs.</li></ul><ul><li>Conduct discovery sessions, stakeholder interviews, and requirement-gathering workshops to identify pain points and business opportunities.</li></ul><ul><li>Collaborate with cross-functional teams to design value-driven solutions and roadmaps.</li></ul><ul><li>Contribute to AI-enhanced proposal creation and client analysis using automation or intelligent research tools.</li></ul><ul><li>Assist in preparing RFP/RFI responses, case studies, and pre-sales decks in coordination with marketing and delivery teams.</li></ul>Business Analysis &amp; Documentation<ul><li>Develop detailed business requirement documents (BRDs), functional specifications (FRDs), user stories, and workflow diagrams.</li></ul><ul><li>Validate requirements through continuous stakeholder feedback and ensure technical feasibility with Solution Architects.</li></ul><ul><li>Maintain version-controlled documentation and ensure traceability across all project phases.</li></ul><ul><li>Use AI-based tools for data analysis, process optimization, and documentation quality improvement.</li></ul>Stakeholder &amp; Client Engagement<ul><li>Serve as the key liaison between clients, delivery, and technical teams, ensuring transparency and consistency in communication.</li></ul><ul><li>Present findings, insights, and proposed solutions to both technical and non-technical audiences.</li></ul><ul><li>Build long-term relationships through consultative communication, business acumen, and reliability.</li></ul><ul><li>Process Improvement &amp; Innovation</li></ul><ul><li>Identify opportunities to enhance internal pre-sales and documentation workflows through AI automation and analytics tools.</li></ul><ul><li>Recommend new technologies or process improvements to strengthen solution delivery.</li></ul><ul><li>Stay informed about AI trends, digital transformation practices, and evolving client needs to inform solution discussions.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Business Administration, Information Technology, or a related field.</li></ul><ul><li>Strong understanding of software development lifecycles (SDLC), Agile methodologies, and solution design principles.</li></ul><ul><li>Proven experience working with or alongside Solution Architects on technical discovery and pre-sales documentation.</li></ul><ul><li>Exposure to or proficiency in AI tools (e.g., ChatGPT, Jasper, Notion AI, ClickUp AI, or similar) for research, analysis, and workflow optimization.</li></ul><ul><li>Exceptional analytical, documentation, and communication skills.</li></ul>Skills<ul><li>Strong expertise in business analysis, pre-sales documentation, and client scoping.</li></ul><ul><li>Proficiency in JIRA, Confluence, Figma, Miro, or similar collaboration tools.</li></ul><ul><li>Familiarity with AI-driven productivity tools for research, document generation, and data visualization.</li></ul><ul><li>Solid grasp of solution design fundamentals (APIs, integrations, cloud platforms).</li></ul><ul><li>Excellent presentation, negotiation, and client management skills.</li></ul><ul><li>Strong problem-solving, multitasking, and cross-functional collaboration abilities.</li></ul>Experience<ul><li>10 years of professional experience as a Business Analyst, preferably in IT services, with significant exposure to pre-sales and collaboration with Solution Architects.</li><li>Experience in integrating AI or automation tools into analysis or documentation processes will be an added advantage.</li></ul>Why Join Us<ul><li>Collaborate closely with Solution Architects, Sales Leaders, and Technical Experts on global projects.</li></ul><ul><li>Be part of a forward-thinking organization embracing AI-powered workflows and innovation.</li></ul><ul><li>Work on diverse, high-impact projects across multiple industries.</li></ul><ul><li>Join a collaborative, people-first culture that values ownership, learning, and professional growth.</li></ul><ul><li>Competitive salary package and performance-based career advancement.</li></ul>Work Location: In person

Senior Business Analyst

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