Zealogics.com

Role Overview We are seeking a Senior AI Full Stack Engineer with strong expertise in Generative AI, modern frontend frameworks, and scalable backend systems. This role focuses on building production-grade AI-powered applications across Industrial AI, Healthcare AI, and Manufacturing AI domains. You will design, develop, and deploy full stack solutions integrating large language models and machine learning systems into real-world applications that deliver measurable business impact. Key Responsibilities - Design and develop end-to-end full stack applications integrating Generative AI capabilities - Build responsive and high-performance user interfaces using React.js - Architect and develop scalable microservices and RESTful APIs - Implement Retrieval Augmented Generation (RAG) pipelines, embeddings, and vector search solutions - Develop and optimize Agentic AI workflows involving multi-step reasoning and tool integration - Fine-tune and optimize large language models for domain-specific use cases - Work with structured and unstructured data using Python libraries such as Pandas and NumPy - Develop machine learning models including predictive analytics and computer vision models using OpenCV and CNNs - Implement MLOps practices for model deployment, monitoring, and lifecycle management - Deploy applications on cloud platforms such as Microsoft Azure, AWS, or GCP - Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps - Ensure application scalability, performance, security, and compliance - Participate in agile ceremonies, design discussions, and code reviews - Mentor junior developers and contribute to engineering best practices - Collaborate with data scientists, product managers, and UX teams to deliver AI-driven solutions Required Skills and Qualifications - Strong programming experience in Python, .NET, or Java - Proficiency in React.js including modern hooks and performance optimization - Experience designing and building microservices-based architectures - Hands-on experience with Generative AI technologies including LLMs, RAG, embeddings, and prompt engineering - Experience building production-grade AI applications - Strong understanding of machine learning concepts including NLP, predictive modeling, and computer vision - Experience with data processing libraries such as Pandas and NumPy - Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Cosmos DB - Experience with relational databases such as PostgreSQL or MySQL - Familiarity with object storage systems such as Azure Blob Storage or MinIO - Experience working with cloud platforms such as Azure (preferred), AWS, or GCP - Experience with DevOps tools such as GitHub, Azure DevOps, or Jenkins - Familiarity with code quality and security tools such as SonarQube and Veracode Good to Have - Experience in Industrial AI, Healthcare AI, or Manufacturing AI domains - Understanding of LLM performance tuning, latency optimization, and cost control - Knowledge of rate limiting, API governance, and distributed system design - Familiarity with data compliance standards such as GDPR, HIPAA, SOC2, or ISO - Experience with modern developer tools such as Cursor, Claude Code, or Miro - Strong understanding of design patterns and system architecture principles What We Offer - Opportunity to build production-grade AI systems with real-world impact - Exposure to cutting-edge technologies in Generative AI and machine learning - Collaborative environment with cross-functional teams including AI engineers, data scientists, and product teams - Opportunities for career growth into technical leadership roles - Flexible work environment - Work closely with Top notch product or customization for fortune 100 clients Preferred Candidate Profile - 5- 12 years of overall Experience with building and deploying end-to-end Generative AI applications in most recent 3 years. - Ability to balance trade-offs between performance, scalability, and cost - Strong problem-solving and system design skills - Ability to translate complex AI concepts into user-friendly applications - Out of the box thinker to "get things done" with help of best available AI tools, but not compromising on Engineering best practices.

Role Description We are seeking a highly skilled and hands-on Azure DevOps Administrator to manage, secure, and optimize our Azure DevOps environment. The ideal candidate will have deep expertise in Azure DevOps administration, security, integrations, extension management, and repository governance, with a strong focus on operational excellence and compliance. Key Responsibilities - Azure DevOps Administration - Onboard new applications and teams into Azure DevOps. - Define, configure, and manage Process Templates. - Perform tenant-level (Level 1) and project-level (Level 2) administration. - Manage security groups, repositories, project settings, and team structures. - Enforce least-privilege access principles for all contributors. - Security & Access Management - Administer user onboarding/offboarding and Azure DevOps license management. - Configure and manage permissions, repo access, and pipeline controls. - Administer resources, resource groups, and team-level configurations. - Proactively monitor and prevent privilege escalation. - Integrations & Service Connections - Create and manage Service Connections for Azure, GitHub, Fortify on Demand, and other CI/CD tools. - Troubleshoot authentication, permissions, and pipeline execution issues. - Integrate external security tools and ensure proper project-level configuration. - Extension Management - Evaluate, install, and govern Azure DevOps Marketplace Extensions. - Assess extension permission scopes and identify high-risk or over-privileged extensions. - Ensure secure handling of credentials and secrets. - Communicate extension-related changes to stakeholders to avoid pipeline disruptions. - Branch Policies & Repository Governance - Enforce branch protection rules, PR requirements, and code review workflows. - Implement repository governance aligned with compliance and security standards. - Apply GitHub Advanced Security features within Azure DevOps environments. - GitHub Advanced Security for Azure DevOps - Manage Secret Scanning Alerts, Code Scanning Alerts, and Dependency Vulnerability Alerts. - Ensure remediation and rotation procedures for exposed secrets. - Triage and manage static analysis findings and dependency vulnerabilities. - CI/CD Pipeline Administration - Maintain a strong understanding of pipeline structure, execution flow, and administration (no coding required). - Troubleshoot pipeline issues related to permissions, service connections, repo policies, and extensions. - Ensure stable and compliant CI/CD operations across teams. - Scripting & API Integration - Develop and maintain PowerShell scripts for automation and administration tasks. - Utilize REST APIs (Azure DevOps, GitHub, etc.) for advanced integrations and reporting. - GitHub User Management - Manage user onboarding and user management processes in GitHub. Qualifications - Proven hands-on experience as an Azure DevOps Administrator. - Deep understanding of Azure DevOps permission models and security best practices. - Experience with Service Connections, integrations, and troubleshooting. - Strong knowledge of extension management and governance. - Expertise in branch policies, repository governance, and compliance. - Experience with GitHub Advanced Security features and alert management. - Proficiency in PowerShell scripting and REST API consumption. - Experience with user management in both Azure DevOps and GitHub. - Excellent communication and stakeholder management skills. Preferred Qualifications - Azure DevOps Administrator certification (AZ-400 or equivalent). - Experience in regulated or enterprise environments. - Familiarity with compliance frameworks (e.g., SOC2, ISO 27001).

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Technical Project Manager specializing in AI, you will play a pivotal role in driving the successful delivery of cutting-edge artificial intelligence and data-driven initiatives that transform business operations and unlock new value. This position demands a seasoned leader who can seamlessly bridge complex technical domains and strategic business goals, ensuring AI solutions are delivered on time, within scope, and at the highest quality standards. Your expertise will directly impact the company’s innovation trajectory and operational excellence. In this role, you will lead the end-to-end lifecycle of multiple concurrent AI projects, from initial planning and development through testing, deployment, and ongoing support. You will coordinate cross-functional teams comprising: - AI/ML engineers - Data engineers - Backend and React frontend developers - QA specialists - Cybersecurity experts - UI/UX designers Translating business requirements into detailed technical specifications and actionable project plans will be a core responsibility, alongside rigorous risk management, progress monitoring, and governance reporting. You will collaborate closely with stakeholders to ensure AI initiatives align with broader business objectives and operational priorities, while championing best practices in software development, security compliance, and quality assurance. Your day-to-day activities will involve: - Orchestrating agile workflows - Facilitating sprint planning and retrospectives - Resolving technical and resource challenges - Maintaining clear communication across distributed teams You will foster a collaborative environment that encourages innovation and continuous improvement, while ensuring timely delivery of scalable, secure, and user-centric AI solutions. This role offers significant growth opportunities to influence enterprise-wide AI strategy and expand your leadership impact within a dynamic, forward-thinking technology organization. You will join a highly skilled, multidisciplinary team operating in a fast-paced, cloud-enabled environment leveraging platforms such as Azure, AWS, or GCP. Reporting to senior leadership, you will be a key driver of transformative AI projects that shape the future of the company’s technology landscape. If you are passionate about harnessing AI to solve complex challenges and thrive in a collaborative, innovation-driven culture, this is the opportunity to elevate your career to the next level. Qualifications - 8–12 years of experience in software development or technical project management, with a proven track record managing AI/ML or data-driven projects. - Deep understanding of Generative AI (LLMs), machine learning frameworks, and AI solution architectures. - Knowledge of data engineering pipelines, modern data platforms, and cloud environments (Azure, AWS, GCP preferred). - Familiarity with React-based frontend architecture, APIs, UI/UX design principles, QA/testing frameworks, and cybersecurity practices. - Expertise in Agile/Scrum methodologies and experience managing distributed, cross-functional teams. - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field. - PMP, Agile, or Scrum certifications are a strong advantage. Requirements - Lead end-to-end delivery of AI and data-driven projects, overseeing planning, development, testing, deployment, and post-release support. - Manage multiple concurrent AI initiatives, ensuring adherence to timelines, scope, budget, and quality standards. - Coordinate and align cross-functional teams including AI/ML engineers, data engineers, backend and React frontend developers, QA, cybersecurity, and UI/UX designers. - Translate complex business requirements into clear technical specifications, project plans, and development roadmaps. - Monitor project progress, proactively manage risks, and enforce robust project governance and reporting mechanisms. - Collaborate closely with stakeholders to align AI solutions with strategic business objectives and operational needs. - Ensure adherence to best practices in software development lifecycle, security compliance, quality assurance, and agile methodologies. - Drive continuous improvement in project delivery processes and team collaboration.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an AI Fullstack Architect, you will spearhead the design and delivery of cutting-edge AI-driven solutions that span the entire technology stack—from intuitive frontend interfaces to robust backend services, sophisticated AI layers, and seamless deployment pipelines. Your expertise will be pivotal in shaping scalable, secure, and high-performance systems that integrate the latest advances in generative AI, machine learning, and computer vision, driving innovation and operational excellence across our AI initiatives. In this role, you will: - Architect and implement high-performance backend APIs using Python and FastAPI. - Craft responsive, modern frontend applications with React and Next.js. - Integrate generative AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and fine-tuning, alongside traditional ML models and OpenCV-based computer vision solutions. - Drive rapid prototyping cycles to validate concepts swiftly. - Enforce best practices in software architecture and MLOps. - Implement comprehensive automated testing strategies to ensure robust, maintainable codebases. Day-to-day, you will: - Collaborate closely with cross-functional teams—including data scientists, domain experts, product owners, and DevOps engineers—to deliver production-ready AI systems that meet stringent industrial standards for compliance, auditability, and reliability. - Lead Agile Scrum ceremonies, manage backlogs and sprints via Azure DevOps, and mentor engineers through architecture reviews and knowledge sharing, fostering a culture of technical excellence and continuous improvement. Joining our dynamic, innovation-driven environment, you will have the opportunity to influence the future of AI applications at scale, grow your leadership capabilities, and work alongside passionate experts committed to pushing the boundaries of technology. Our collaborative team structure emphasizes transparency, agility, and shared ownership, empowering you to make a tangible impact on transformative AI solutions that redefine industry standards. Qualifications - Experience in architecting end-to-end AI-fullstack solutions. - Proficiency in Python and FastAPI for backend development. - Strong skills in React and Next.js for frontend development. - Knowledge of generative AI capabilities and traditional ML models. - Experience with automated testing strategies using pytest. - Familiarity with Agile Scrum methodologies and Azure DevOps. Requirements - Ability to mentor engineers and conduct architecture reviews. - Champion technical excellence across the team. - Ensure solutions meet stringent industrial requirements (compliance, auditability, reliability, low latency where required). Benefits - Opportunity to influence the future of AI applications at scale. - Growth in leadership capabilities. - Collaborative team structure emphasizing transparency and agility.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - Develop, maintain, and curate AI developer-facing artifacts including: - API documentation - Cookbooks - Code samples - Reference implementations - “How‑to” guidance - Provide hands‑on technical support and guidance to development teams, including: - API troubleshooting - Usage patterns - Best practices aligned to platform constraints and security standards - Promote and support inner‑source development practices, enabling reuse of: - Agents - Accelerators - Pipelines - Shared assets across a global developer community - Encourage adoption of modern developer tooling and workflows (e.g., GitHub, Copilot, CI/CD patterns) by providing practical guidance and examples tailored to Workbench use cases. Qualifications - Experience with Azure OpenAI, Gemini, and Claude technologies, specifically leveraging APIs and coding agent orchestration.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Senior Business Analyst with over 10 years of hands-on experience in business analysis, requirements management, and IT application development. The ideal candidate will act as a strategic bridge between business stakeholders and technical teams, ensuring business needs are translated into clear, actionable, and technically feasible solutions. Strong communication, stakeholder management, and leadership skills are critical for success in this role. Qualifications - 10+ years of experience as a Business Analyst in IT-driven projects - Strong experience working on enterprise-scale application development initiatives - Proven exposure to Agile / Scrum and Waterfall methodologies - Excellent verbal and written communication skills - Strong analytical, problem-solving, and critical-thinking abilities - Expertise in requirements elicitation, documentation, and management - Strong stakeholder management and facilitation skills - Solid understanding of Application development lifecycle (SDLC) - APIs, databases, and system integrations (conceptual level) - Agile tools (JIRA, Azure DevOps, or similar) - Experience working with development and QA teams on complex systems Requirements - Certification such as CBAP, PMI-PBA, or Agile BA - Experience in domains such as Banking, Healthcare, Retail, Telecom, or Enterprise Platforms - Exposure to cloud-based or digital transformation initiatives Benefits - Strategic thinking with strong attention to detail - Leadership and mentoring of junior analysts - Ability to work in fast-paced, multi-stakeholder environments - Strong ownership mindset and delivery focus

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves developing, designing, and maintaining Power BI dashboards, reports, and data visualizations based on business requirements. - Build efficient data models (star schema, semantic models) using Power BI and Microsoft Fabric components. - Work with Microsoft Fabric features such as Lakehouse, Data Engineering pipelines, Dataflows Gen2, and Warehouse where applicable. - Optimize datasets, visuals, DAX queries, and report performance. - Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable reporting solutions. - Ensure data accuracy, governance, and compliance with organizational standards. - Troubleshoot issues related to datasets, refresh failures, permissions, and report performance. - Support the modernization of analytics platforms and the adoption of Microsoft Fabric within the KPMG ecosystem. Qualifications - A minimum of three years of experience as a Power BI Developer (or similar analytics role). - Strong proficiency in: - Power BI Desktop - Power BI Service (Workspaces, Gateways, Deployment Pipelines) - DAX (advanced level) - Power Query (M Language) - Hands-on experience in Microsoft Fabric, including at least one of the following: - Lakehouse - Data Engineering / Pipelines - Dataflows Gen2 - Warehouse - Strong understanding of data modeling, relational & dimensional modeling concepts. - Experience working with large datasets and optimizing report performance. - Ability to work independently, communicate clearly, and collaborate with cross-functional teams. Requirements - Experience with Azure data ecosystem (Azure Data Lake, Synapse, Databricks, ADF). - Background supporting enterprise analytics for finance, audit, or consulting environments. - Familiarity with CI/CD for Power BI and governance best practices.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a seasoned Full Stack Engineer with advanced AI expertise to architect and deliver enterprise-scale solutions. The role demands deep technical knowledge of AI APIs across OpenAI, Azure, AWS, and Google Cloud, combined with leadership and communication skills to drive innovation and compliance. - Architect, design, and implement scalable full stack applications with integrated AI/ML capabilities. - Lead technical teams, mentor junior engineers, and establish best practices in AI-driven development. - Design and optimize API integrations with OpenAI, Azure Cognitive Services, AWS AI/ML stack, and Google Vertex AI. - Collaborate with stakeholders to align AI solutions with business goals and compliance standards. - Ensure robust monitoring, logging, and governance of AI API usage. - Evaluate emerging AI APIs and frameworks for adoption in enterprise projects. Qualifications - Full Stack Development: React/Angular, Node.js, .NET Core, Python, Java. - AI/ML Expertise: Hands-on with OpenAI APIs (ChatGPT, embeddings, fine-tuning), Azure AI (Cognitive Services, OpenAI Service), AWS AI (SageMaker, Comprehend, Rekognition), Google AI (Vertex AI, Dialogflow). - Cloud & Data: Azure/AWS/GCP proficiency, microservices, APIs, SQL/NoSQL databases. - Leadership: Proven ability to lead teams and manage enterprise-scale delivery. - Soft Skills: Excellent communication, stakeholder engagement, and documentation.