graphic designer

ai engineer

ui/ux designer

civil engineer

construction accountant

ai architect

Confiz

<div><p>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.</p>
<p>Key Responsibilities</p>
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
<p>Required Qualifications</p>
<ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

AI Architect

WinWire

<div><p><b>Location : Hyderabad/Bangalore</b></p>
<p><b>Experience : 12 to 18 Years</b></p>
<p><b>Job Description:</b></p>
<ul><p>Generative AI Solution Architecture (2&ndash;3 years): Proven experience in designing and architecting GenAI applications, including Retrieval-Augmented Generation (RAG), LLM orchestration (LangChain, LangGraph), and advanced prompt design strategies.</p>
<p>Backend &amp; Integration Expertise (5+ years): Strong background in architecting Python-based microservices, APIs, and orchestration layers that enable tool invocation, context management, and task decomposition across cloud-native environments (Azure Functions, GCP Cloud Functions, Kubernetes).</p>
<p>Enterprise LLM Architecture (2&ndash;3 years): Hands-on experience in architecting end-to-end LLM solutions using Azure OpenAI, Azure AI Studio, Hugging Face models, and GCP Vertex AI, ensuring scalability, security, and performance.</p>
<p>RAG &amp; Data Pipeline Design (2&ndash;3 years): Expertise in designing and optimizing RAG pipelines, including enterprise data ingestion, embedding generation, and vector search using Azure Cognitive Search, Pinecone, Weaviate, FAISS, or GCP Vertex AI Matching Engine.</p>
<p>LLM Optimization &amp; Adaptation (2&ndash;3 years): Experience in implementing fine-tuning and parameter-efficient tuning approaches (LoRA, QLoRA, PEFT) and integrating memory modules (long-term, short-term, episodic) to enhance agent intelligence.</p>
<p>Multi-Agent Orchestration (2&ndash;3 years): Skilled in designing multi-agent frameworks and orchestration pipelines with LangChain, AutoGen, or DSPy, enabling goal-driven planning, task decomposition, and tool/API invocation.</p>
<p>Performance Engineering (2&ndash;3 years): Experience in optimizing GCP Vertex AI models for latency, throughput, and scalability in enterprise-grade deployments.</p>
<p>AI Application Integration (2&ndash;3 years): Proven ability to integrate OpenAI and third-party models into enterprise applications via APIs and custom connectors (MuleSoft, Apigee, Azure APIM).</p>
<p>Governance &amp; Guardrails (1&ndash;2 years): Hands-on experience in implementing security, compliance, and governance frameworks for LLM-based applications, including content moderation, data protection, and responsible AI guardrails.</p>
<p>Architect Scalable GenAI Solutions: Lead the design of enterprise architectures for LLM and multi-agent systems, ensuring scalability, resilience, and security across Azure and GCP platforms.</p>
<p>Technology Strategy &amp; Guidance: Provide strategic technical leadership to customers and internal teams, aligning GenAI projects with business outcomes.</p>
<p>LLM &amp; RAG Applications: Architect and guide development of LLM-powered applications, assistants, and RAG pipelines for structured and unstructured data.</p>
<p>Agentic AI Frameworks: Define and implement agentic AI architectures leveraging frameworks like Lang Graph, AutoGen, DSPy, and cloud-native orchestration tools.</p>
<p>Integration &amp; APIs: Oversee integration of OpenAI, Azure OpenAI, and GCP Vertex AI models into enterprise systems, including MuleSoft Apigee connectors.</p>
<p>LLMOps &amp; Governance: Establish LLMOps practices (CI/CD, monitoring, optimization, cost control) and enforce responsible AI guardrails (bias detection, prompt injection protection, hallucination reduction).</p>
<p>Enterprise Governance: Lead architecture reviews, governance boards, and technical design authority for all LLM initiatives.</p>
<p>Collaboration: Partner with data scientists, engineers, and business teams to translate use cases into scalable, secure solutions.</p>
<p>Documentation &amp; Standards: Define and maintain best practices, playbooks, and technical documentation for enterprise adoption.</p>
<p>Monitoring &amp; Observability: Guide implementation of AgentOps dashboards for usage, adoption, ingestion health, and platform performance visibility.</p>
</ul>
<p><b>Key Skills: Agentic AI, Gen AI, GCP, Python, LLM, Rag, Langchain, AutoGen, APIs</b></p></div>

Sr Architect - Agentic AI

Contour Software

<div><div><b>About Contour</b></div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><b>
THE DIVISION:</b></div><div>
Campana Systems is an international leader in information solutions for the auto club industry. Since 1988, we have been enabling our clients to achieve their ongoing business objectives using our in-depth industry knowledge and trusted technology solutions. Our mission is to enable our auto club clients to achieve their strategic goals by providing leadership through effective innovative solutions and services.</div><div></div><div><b><br>
THE POSITION:</b></div><div>
We are building next-generation AI capabilities to enhance our product suite and internal operations for <b>a one-year contract</b>. As a Lead AI Engineer, you will play a pivotal role defining and validating our AI architecture and governance. You will guide AI strategy, provide hands-on development leadership, and collaborate with senior architects, engineers, and product stakeholders to operationalize enterprise-grade AI services. The successful hire will work from the Contour Software Karachi/Lahore/Islamabad office as part of the resource-center team that is an extension of the division-based R&amp;D department.</div><div></div><div><b><br>
JOB RESPONSIBILITIES:</b></div><ul><li><div>
Lead the design, validation, and documentation of the enterprise AI architecture and governance model.</div></li><li><div>
Architect secure, scalable AI/ML environments in cloud platforms for production use.</div></li><li><div>
Guide the integration of Large Language Models (LLMs) into internal and customer-facing software products.</div></li><li><div>
Provide technical leadership on ML pipelines, model lifecycle workflows, and model governance best practices.</div></li><li><div>
Establish coding standards, development guidelines, and AI guardrails for engineering teams.</div></li><li><div>
Actively contribute to the development and deployment of AI-enabled features and services.</div></li><li><div>
Mentor and coach intermediate and junior AI/ML engineers.</div></li><li><div>
Collaborate across teams to move AI use cases from prototype to production, ensuring robustness, monitoring, and scalability.</div></li></ul><div></div><div><b><br>
REQUIRED QUALIFICATIONS:</b></div><ul><li><div>
Bachelor&rsquo;s in Computer Science, ML/AI, or related field.</div></li><li><div>
Strong experience in applied AI/ML engineering roles.</div></li><li><div>
Strong expertise with training, fine-tuning, or integrating LLMs (OpenAI, Anthropic, LLaMA, etc.).</div></li><li><div>
Proven track record designing and deploying ML systems at scale in cloud environments (AWS, Azure, or GCP).</div></li><li><div>
Experience building secure, enterprise AI infrastructure with CI/CD practices.</div></li><li><div>
Proficiency with Python, ML frameworks (TensorFlow, PyTorch), and API integration.</div></li><li><div>
Excellent analytical, leadership, and communication skills.</div></li></ul><div></div><div><b><br>
GOOD TO HAVE:</b></div><ul><li><div>
Prior experience in a lead AI architect or principal engineer role.</div></li><li><div>
Knowledge of MCP or similar emerging ML standards and protocols.</div></li><li><div>
Experience with data governance frameworks and MLOps tooling.</div></li></ul><div><b>
Exciting Benefits we offer:</b></div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Lead AI Engineer

Capgemini

<div><div><div><p>Hyderabad</p><div>
Gen AI Delivery Leader</div><p>
</p></div></div><p></p><div><div><div><div><div><div><div><div><div>Job Description</div></div><div><p>
We are seeking a highly experienced Gen AI Delivery Leader responsible for driving the successful delivery and industrialization of Generative AI solutions across business lines. This includes leading cross-functional teams, collaborating with stakeholders, and ensuring the scalable deployment of Gen AI assets and services. The role demands a blend of strategic vision, technical depth, and delivery excellence. You will be leading and delivering cutting-edge AI solutions that drive business value and operational excellence.</p><ul><li>
Define and execute the roadmap for Gen AI delivery across multiple business functions, ensuring alignment with organizational goals.</li><li>
Lead the end-to-end delivery of Gen AI initiatives, from ideation and PoC to deployment and scaling.</li><li>
Act as the central point of coordination among business functions , technology teams, and clients to ensure consistent delivery outcomes.</li><li>
Drive the reuse and scaling of Gen AI assets, frameworks, and accelerators to improve productivity and client satisfaction.</li><li>
Foster a culture of innovation by integrating the latest Gen AI advancements into delivery practices.</li><li>
Drive the integration of AI solutions across multiple platforms, ensuring seamless deployment and operation.</li><li>
Stay abreast of the latest trends and advancements in ML and Gen AI, and advocate for their application within the organization.</li><li>
Ensure and enforce all AI solutions adhere to data privacy, security, and ethical standards.</li><li>
Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools.</li></ul></div></div><div><div><div>
Job Description - Grade Specific</div></div><div><ul><li>
18+ years of experience in enterprise architecture, with a strong focus on ML and Gen AI technologies.</li><li>
Proven experience in delivering AI-powered solutions at scale, preferably in client-facing environments.</li><li>
Experience in handling complex projects requiring AI/GenAI technology infusion in the business for optimization and improvement</li><li>
Deep understanding of Gen AI frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices.</li><li>
Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies.</li><li>
Excellent communication, stakeholder engagement, and team leadership skill.</li><li>
Exposure to industry-specific Gen AI use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.</li></ul></div></div></div></div></div><div><div><div>
<div><div>Ref. code</div><div>
386716-en_GB</div></div><div><div>
Posted on</div><div>
10 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Hyderabad</div></div><div><div>
Business unit</div><div>
Business Services</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Delivery Excellence</div></div></div></div></div></div></div></div></div><p></p>

Gen AI Delivery Leader

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>AI Engineer &ndash; Agentic Data Platform designs, builds, and deploys autonomous AI agents that reason, plan, and execute tasks using LLMs, multi-agent frameworks, and enterprise data pipelines &mdash; transforming complex business operations into intelligent, self-directed, and scalable automated workflows.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Architect and build autonomous multi-agent AI systems at scale.</li>
<li>Integrate LLMs and agentic frameworks into enterprise data platforms.</li>
<li>Design and optimize data pipelines for AI agent consumption and retrieval.</li>
<li>Develop evaluation frameworks to monitor agent accuracy and performance.</li>
<li>Implement guardrails for safety, compliance, and production-grade reliability.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders cross-functionally.</li>
<li>Research and prototype emerging agentic AI models, tools, and frameworks.</li>
<li>Translate complex business challenges into autonomous AI-native solution designs.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Proficiency in Python with LangChain, LangGraph, or similar orchestration tools.</li>
<li>Strong knowledge of LLMs, prompt engineering, and AI agent design patterns.</li>
<li>Experience with cloud platforms including AWS, GCP Vertex AI, or Azure.</li>
<li>Solid understanding of vector databases, RAG pipelines, and knowledge graphs.</li>
<li>Familiarity with MLOps, CI/CD, and agent observability and monitoring tools.</li>
<li>Strong problem-solving, analytical thinking, and effective cross-functional communication.</li>
</ul>
<p><b>Note</b>: Salary depends on experience and skills and is paid in local currency.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>March 26, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Karachi
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>3461238 - 4012509 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>November 20, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

AI Engineer

NXP Semiconductors

<div><ul><li><b>Key Responsibilities
</b></li><li>Define and implement hardware architectures optimized for <b>AI inference SOC's
</b></li><li>Contribute to micro-architecture definition and evaluate design trade-offs for complex SOC including custom-ISA based processors, high-speed interconnects &amp; high-bandwidth IO's
</li>Own features end-to-end: specification RTL integration synthesis<li> debug
</li><li>Collaborate with physical design teams on synthesis, timing closure, and power optimization.
</li><li>Collaborate with verification team to ensure design correctness.
</li><li>Work with architect engineers to model workloads, analyze performance bottlenecks, and validate AI inference use cases.
</li></ul><p></p><ul><li><b>Required Qualifications
</b></li><li>7+ years of experience in ASIC/SoC RTL design
</li><li>Strong Verilog/SystemVerilog coding skills
</li><li>Solid understanding of synthesis, timing, and power analysis
</li><li>Experience with Lint/CDC/RDC flows
</li>Strong debugging and root-cause analysis capability<br>
<li>
</li></ul><p></p><p><br>
More information about NXP in India...
</p><p></p>#LI-2734</div>

Sr. Lead ASIC design Engineer - Digital Design

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>A Software Engineer designs, builds, tests, and deploys high-performance digital products across web platforms, mobile applications, SaaS solutions, AI-driven systems, and emerging technologies. They architect scalable systems, integrate intelligent frameworks, and collaborate with cross-functional teams to deliver secure, innovative, and production-ready software that powers modern digital businesses globally.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Design and build scalable web, mobile, and SaaS applications.</li>
<li>Develop AI-powered features using machine learning models and APIs.</li>
<li>Write clean, efficient, and well-documented production-grade source code.</li>
<li>Collaborate with product, design, and QA teams on delivery.</li>
<li>Integrate third-party services, cloud infrastructure, and data pipelines.</li>
<li>Automate CI/CD pipelines for faster and reliable software deployment.</li>
<li>Conduct peer code reviews to maintain high engineering standards.</li>
<li>Monitor, debug, and optimize application performance in production environments.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Proficiency in full-stack frameworks such as React, Node.js, Python.</li>
<li>Hands-on experience with cloud platforms including AWS, GCP, Azure.</li>
<li>Knowledge of AI/ML frameworks like TensorFlow, PyTorch, and LangChain.</li>
<li>Strong DevOps skills including Docker, Kubernetes, and Terraform tools.</li>
<li>Expertise in SQL, NoSQL databases, and version control systems.</li>
<li>Strong problem-solving, communication, and cross-functional team collaboration skills.</li>
</ul>
<p><b>Note</b>: Salary depends on experience and skills and is paid in local currency.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>March 19, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Manchester, Karachi, Dubai
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>1350000 - 1680000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>October 23, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Software Engineering

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