senior lead software engineer

Kuza Ventures

Position: Senior Full Stack EngineerIndustry: ITShift Timings: 5:00 pm -2:00 am (Pakistan Time)Location: KarachiEducation: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or equivalent experience.Experience: 5+ years of professional experience as a Full Stack Engineer or Software Developer.Responsibilities:-Design, develop, and maintain scalable, secure, and performant web applications using .NET Core and modern SPA frameworks.-Build and optimize RESTful APIs, microservices, and integration layers for internal and external systems.-Collaborate closely with Product Managers, UI/UX designers, and QA engineers to deliver high-quality software.-Implement responsive, accessible, and intuitive user interfaces using React, Angular, or Vue.js.-Write efficient and maintainable SQL queries, stored procedures, and database schemas.-Participate in code reviews, architecture discussions, and design sessions.-Apply modern development practices such as CI/CD, automated testing (TDD/BDD), and observability.-Contribute to modernization efforts from legacy .NET applications to .NET Core microservices and React-based front ends.-Troubleshoot production issues and participate in on-call rotations when required.-Mentor junior engineers and contribute to a culture of continuous improvement and technical excellence.-Solid understanding of relational databases (SQL Server or PostgreSQL) and writing optimized SQL.-Experience with Git, CI/CD pipelines, Docker, and cloud environments (AWS/Azure).-Familiarity with agile methodologies such as Scrum or Kanban.Application Question(s):<ul><li>Are you comfortable working the 5:00 pm &ndash; 2:00 am shift (Pakistan Time)?</li><li>Have you worked with .NET Core in building scalable web applications?</li><li>Do you have hands-on experience with modern SPA frameworks such as React, Angular, or Vue.js?</li><li>Have you designed and optimized RESTful APIs or microservices?</li><li>Are you proficient in writing SQL queries, stored procedures, and designing database schemas?</li><li>Do you have experience with relational databases such as SQL Server or PostgreSQL?</li><li>Have you worked with Git for version control?</li><li>Do you have experience setting up or working with CI/CD pipelines?</li><li>Have you used Docker for containerization?</li><li>Do you have experience working in cloud environments such as AWS or Azure?</li><li>Have you worked in agile environments using Scrum or Kanban?</li><li>Do you have experience collaborating with Product Managers, UI/UX designers, and QA engineers?</li><li>Have you mentored junior engineers in previous roles?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Full Stack Engineering: 5 years (Required)</li></ul>Work Location: Remote

Senior Full Stack Engineer

LeadingEdge HR Solutions

<div>
 
 NOW HIRING | SENIOR AI ENGINEER &ndash; REMOTE | BAHRAIN
 
 
 
 
 Position Title:
 
 Senior AI Engineer
 
 
 
 Location:
 
 Bahrain (Remote)
 
 
 
 Contract Type:
 
 Full-Time Permanent
 
 
 
 Role Overview
 
 
 
 Our Client is a forward-thinking organisation based in Bahrain, operating at the intersection of technology and financial services. They are seeking a skilled
 
 Senior AI Engineer
 
 to
 
 design, develop, and deliver end-to-end AI solutions
 
 &mdash; bringing a strong
 
 consultancy or banking background
 
 and the ability to translate complex business challenges into scalable, production-ready AI applications on a fully
 
 remote basis.
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end AI use cases that are directly aligned to business objectives and organisational priorities.
 </li>
 <li>
 Engage with business stakeholders across consulting and banking functions to identify, scope, and prioritise AI opportunities with measurable impact.
 </li>
 <li>
 Translate complex operational and business requirements into intelligent, production-ready AI and machine learning solutions.
 </li>
 <li>
 Build, optimise, and maintain machine learning models, data pipelines, and AI-driven applications to the highest technical standards.
 </li>
 <li>
 Ensure all AI solutions are robust, scalable, and suitable for live production environments.
 </li>
 <li>
 Continuously monitor industry developments, emerging AI tools, and evolving best practices within the banking and consulting sectors.
 </li>
 <li>
 Clearly document technical processes, methodologies, and outcomes; present findings to both technical teams and senior non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Required Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Minimum 2 years of hands-on experience in designing, building, and deploying AI and machine learning solutions.
 </li>
 <li>
 Demonstrated ability to deliver end-to-end AI projects independently from concept through to full production deployment.
 </li>
 <li>
 Prior experience within consulting and/or banking and financial services is strongly preferred.
 </li>
 <li>
 Strong proficiency in Python with practical experience across leading AI tools, machine learning libraries, and development frameworks.
 </li>
 <li>
 Proven working knowledge of cloud platforms including AWS, Microsoft Azure, or Google Cloud.
 </li>
 <li>
 Solid experience working with large-scale datasets and building predictive or natural language processing models.
 </li>
 <li>
 Exceptional communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Highly self-managed, organised, and dependable in a fully remote working environment.
 
 
 
 </li>
 </ul>
 
 Apply Now:
 
 
 
 
 Interested candidates can share there resume at
 
 talent@leadingedge.plus
 
 mentioning title in the subject line.
 
</div>

SENIOR AI ENGINEER – ONSITE_KHI

Alykas

About the RoleThe Senior Microsoft &amp; Cloud Engineer will lead the design, administration, and optimization of secure Microsoft and cloud environments for enterprise clients. This role serves as a senior escalation point for complex cloud and identity issues while driving security-first architecture, operational maturity, and cloud governance initiatives.The ideal candidate possesses deep hands-on expertise in Microsoft 365, Azure, and/or AWS, thrives in multi-tenant or MSP environments, and demonstrates strong leadership, security awareness, and client communication skills.Key ResponsibilitiesTechnical Leadership &amp; Escalation<ul><li>Serve as Tier 3 escalation support for complex Microsoft 365, Azure, and cloud-related incidents</li><li>Lead root cause analysis and remediation of high-impact security and infrastructure events</li><li>Mentor and guide Tier 1 and Tier 2 engineers</li><li>Participate in architectural reviews, risk assessments, and change advisory processes</li></ul>Secure Cloud Infrastructure Management<ul><li>Architect, deploy, and manage secure Azure and/or AWS environments</li><li>Administer virtual networks, VPNs, firewalls, and hybrid connectivity solutions</li><li>Design high-availability, backup, and disaster recovery strategies</li><li>Optimize cloud performance, cost efficiency, and security posture</li></ul>Microsoft 365 &amp; Endpoint Security<ul><li>Oversee Microsoft 365 tenant configuration, governance, and compliance</li><li>Support Exchange Online, SharePoint Online, Teams, and Intune</li><li>Lead tenant migrations and hybrid identity deployments</li><li>Implement security baselines and regulatory compliance controls</li></ul>Identity &amp; Zero Trust Security<ul><li>Design and troubleshoot Azure AD / Entra ID environments</li><li>Configure and manage Conditional Access, MFA, Identity Protection, and PIM</li><li>Support Zero Trust architecture implementations</li><li>Conduct security posture reviews and recommend remediation strategies</li></ul>Automation, Documentation &amp; Continuous Improvement<ul><li>Develop and maintain detailed technical documentation and SOPs</li><li>Automate cloud administration tasks using PowerShell or scripting tools</li><li>Contribute to internal knowledge base and operational process improvements</li><li>Support cybersecurity initiatives aligned with industry best practices</li></ul>Qualifications<ul><li>5+ years of hands-on experience in Microsoft 365 and Azure administration</li><li>Strong experience managing Azure and/or AWS cloud deployments</li><li>Experience working in multi-tenant or MSP environments preferred</li><li>Advanced understanding of networking concepts including DNS, routing, firewalls, and VPNs</li><li>Strong troubleshooting, analytical, and problem-solving skills</li><li>Excellent written and verbal communication skills</li><li>Security-first mindset with strong attention to detail</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104)</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305)</li><li>Microsoft 365 Certified: Endpoint Administrator Associate (MD-102)</li><li>AWS Solutions Architect Associate</li><li>Microsoft Security Certifications (SC-200, SC-300, SC-100)</li></ul>Why Join Alykas<ul><li>Work with a cybersecurity-focused, innovation-driven team</li><li>Exposure to enterprise-scale cloud and security environments</li><li>Career growth and certification support</li><li>Collaborative culture with strong technical leadership</li><li>Competitive compensation and benefits</li></ul>Work Location: In person

Senior Microsoft and Cloud Engineer

The Ghani IT Solutions

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
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Senior Data Engineer (AWS)

Confiz

<div>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.
Key Responsibilities
<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>
Required Qualifications
<ul><li>5+ 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>
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.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Senior AI Engineer

<div>We are looking for a PSE /Technical Lead to drive the BackEnd team of a new unified web platform and its first production module: a Data Quality Rules engine. The platform stack is centered on FastAPI, React, PostgreSQL, Snowflake, Microsoft Entra ID, and AWS, with infrastructure managed through Terraform and CI/CD. The PSE will align backend and frontend contracts, review implementation quality, and guide delivery across authentication, RBAC, rules engine design, workflow automation, notifications, reporting, and AI services. This role aligns directly with the project&rsquo;s documented ownership model.
Key responsibilities
<ul><li>Implement and own the target architecture for a modular monolith platform built on FastAPI and React.</li>
<li>Establish API contract standards, request/response conventions, pagination patterns, and error handling across modules.</li>
<li>Implement solution design for Entra ID SSO, JWT validation, RBAC enforcement, and secure role mapping.</li>
<li>Guide the design of the rules engine, including JSON-based rule schema, execution model, versioning, sandbox testing, and migration path from legacy SQL rules.</li>
<li>Oversee backend architecture for workflows, audit trail, comments, notifications, SLA logic, exports, and background sync.</li>
<li>Conduct code reviews across backend and frontend tracks and enforce engineering standards.</li>
<li>De-risk key delivery items early, especially Entra + AWS auth flow, schema design, and legacy rule migration. The roadmap explicitly highlights these as major risks.</li>
<li>Work with product and client stakeholders to turn discovery findings into implementation-ready technical designs.</li>
</ul>
Required skills
<ul><li>7+ years in software engineering, with strong experience in backend/platform architecture</li>
<li>2+ years in a lead, or PSE role</li>
<li>Strong experience with Python and API-centric backend systems</li>
<li>Hands-on experience with FastAPI or comparable modern Python web frameworks</li>
<li>Strong experience designing systems with PostgreSQL &bull; Experience integrating with cloud data platforms such as Snowflake</li>
<li>Experience with Microsoft Entra ID / Azure AD, OIDC, JWT, and RBAC patterns</li>
<li>Experience with AWS, containerized deployments, and infrastructureas-code</li>
<li>Strong understanding of CI/CD, observability, application security, and production readiness</li>
<li>Experience defining system contracts and leading cross-functional technical delivery</li>
<li>Should be comfortable using modern AI tools like claude and cursor and able to extract maximum productivity with them .</li>
</ul>
Preferred skills
<ul><li>Experience designing configurable rules engines or workflow/statemachine systems</li>
<li>Experience migrating legacy SQL/business logic into structured application services</li>
<li>Familiarity with React/TypeScript frontend architecture</li>
<li>Experience with AI platform services, prompt registries, API logging, and safe human-in-the-loop AI patterns</li>
<li>Experience in data governance, auditability, and regulated enterprise environments</li>
<li>Exposure to Prompy Engineering</li>
</ul>
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.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Technical Lead - Backend (FastAPI, React, PostgreSQL, Snowflake, Microsoft Entra ID, and AWS)

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