PGAGI

Position: UI/UX Design Intern

We are seeking a passionate and creative UI/UX Design Intern to join our team. This role offers the unique opportunity to contribute to the design and improvement of user interfaces, ensuring they are intuitive, engaging, and aesthetically pleasing. You'll work closely with our design and development teams to craft seamless user experiences across various digital platforms.

Key Responsibilities:

• Collaborate with the UI/UX team to understand project requirements and contribute innovative design solutions.
• Utilize Figma to create compelling user interfaces, prototypes, and wireframes that align with user needs and business goals.
• Participate in user research and usability testing to gather insights and feedback to refine designs.
• Assist in the development of design documentation, including user journey maps and design specifications.
• Stay updated with the latest design trends, techniques, and technologies in the UI/UX field.

Requirements:

• Currently enrolled in a degree program related to Design, Human-Computer Interaction, or a related field.
• Proficiency in Figma is essential. Knowledge of other design and prototyping tools is a plus.
• A strong portfolio showcasing UI/UX design skills and projects.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.
• Eagerness to learn, adapt, and take on new challenges.

Employment Type

• Full Time Intern

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Position Overview:

PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.

Key Responsibilities:

AI Model Deployment & Integration

• Assist in containerizing and deploying AI/ML models into production using Docker.
• Support integration of models into existing systems and APIs.

Infrastructure Management

• Help manage cloud and on-premise environments to ensure scalability and consistency.
• Work with Kubernetes for orchestration and environment scaling.

CI/CD Pipeline Automation

• Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Implement basic automated testing and rollback mechanisms.

Hosting & Web Environment Management

• Assist in managing hosting platforms, web servers, and CDN configurations.
• Support DNS, load balancer setups, and ensure high availability of web services.

Monitoring, Logging & Optimization

• Set up and maintain monitoring/logging tools like Prometheus and Grafana.
• Participate in troubleshooting and resolving performance bottlenecks.

Security & Compliance

• Apply basic DevSecOps practices including security scans and access control implementations.
• Follow security and compliance checklists under supervision.

Cost & Resource Management

• Monitor resource usage and suggest cost optimization strategies in cloud environments.

Documentation

• Maintain accurate documentation for deployment processes and incident responses.

Continuous Learning & Innovation

• Suggest improvements to workflows and tools.
• Stay updated with the latest DevOps and AI infrastructure trends.

Requirements:

• Around 6 months of experience in a DevOps or related technical role (internship or professional).
• Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
• Exposure to scripting languages (e.g., Bash, Python) is a plus.
• Strong problem-solving skills and eagerness to learn.
• Good communication and documentation abilities.

Compensation

• Joining Bonus: INR 2,500 one-time bonus upon joining.
• Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
• Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
• Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.

Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now

#Devops #Docker #Kubernetes #DevOpsIntern

Position: Project Manager

Location: Bengaluru, India (Hybrid/Remote flexibility available)

Company: PGAGI Consultancy Pvt. Ltd

About PGAGI

At PGAGI, we are building the future where human and artificial intelligence coexist to solve complex problems, accelerate innovation, and power sustainable growth. We develop and deploy advanced AI solutions across industries, making AI not just a tool but a transformational force for businesses and society.

Position Summary

PGAGI is seeking a dynamic and experienced Project Manager to lead cross-functional engineering teams and drive the successful execution of multiple AI/ML-centric projects. The ideal candidate is a strategic thinker with a solid background in engineering-led product/project management, especially in AI/ML product lifecycles. This role is crucial to scaling our technical operations, ensuring seamless collaboration, timely delivery, and high-impact results across initiatives.

Key Responsibilities

• Lead Engineering Teams Across AI/ML Projects: Manage and mentor cross-functional teams of ML engineers, DevOps professionals, and software developers through agile delivery cycles, ensuring timely and high-quality execution of AI-focused initiatives.

• Drive Agile Project Execution: Define project scope, objectives, timelines, and deliverables using Agile/Scrum methodologies. Ensure continuous sprint planning, backlog grooming, and milestone tracking via tools like Jira or GitHub Projects.

• Manage Multiple Concurrent Projects: Oversee the full lifecycle of multiple high-priority projects—ranging from AI model development and infrastructure integration to client delivery and platform enhancements.

• Collaborate with Technical and Business Stakeholders: Act as the bridge between engineering, research, and client-facing teams, translating complex requirements into actionable tasks and product features.

• Maintain Engineering and Infrastructure Quality: Uphold rigorous engineering standards across deployments. Coordinate testing, model performance validation, version control, and CI/CD operations.

• Budget and Resource Allocation: Optimize resource distribution across teams, track project costs, and ensure effective use of cloud infrastructure and personnel to maximize project ROI.

• Risk Management & Mitigation: Identify risks proactively across technical and operational layers. Develop mitigation plans and troubleshoot issues that may impact timelines or performance.

• Monitor KPIs and Delivery Metrics: Establish and monitor performance indicators such as sprint velocity, deployment frequency, incident response times, and customer satisfaction for each release.

• Support Continuous Improvement: Foster a culture of feedback and iteration. Champion retrospectives and process reviews to continually refine development practices and workflows.

Qualifications:

• Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.

• Experience: Minimum 5 years of experience as a Project Manager, with at least 2 years managing AI/ML or software engineering teams.

• Tech Expertise: Familiarity with AI/ML lifecycles, cloud platforms (AWS, GCP, or Azure), and DevOps pipelines (Docker, Kubernetes, GitHub Actions, Jenkins).

• Tools: Strong experience with Jira, Confluence, and project tracking/reporting tools.

• Leadership: Proven success leading high-performing engineering teams in a fast-paced, innovative environment.

• Communication: Excellent written and verbal skills to interface with both technical and non-technical stakeholders.

• Certifications (Preferred): PMP, CSM, or certifications in AI/ML project management or cloud technologies.

Why Join PGAGI?

• Lead cutting-edge AI/ML product teams building scalable, impactful solutions.

• Be part of a fast-growing, innovation-driven startup environment.

• Enjoy a collaborative, intellectually stimulating workplace with growth opportunities.

• Competitive compensation and performance-based rewards.

• Access to learning resources, mentoring, and AI/DevOps communities.

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity a Software Development engineer.

Key Responsibilities

• Engage in the full software development lifecycle: ideation, design, development, testing, and deployment.
• Develop responsive, high-performance web applications utilizing HTML, CSS, JavaScript, and frameworks such as React, Angular, and Next.js.
• Create back-end services and APIs using Node.js, managing data with MongoDB and Supabase.
• Utilize cloud services like AWS for hosting and scaling applications.
• Collaborate on the design of efficient and scalable database schemas.
• Learn from code reviews with seasoned developers, adopting best practices and coding standards.

Requirements

• Enrollment in a Computer Science or related degree program.
• Proficiency in HTML, CSS, JavaScript, with experience in frameworks like React, Angular, or Next.js.
• Understanding of back-end development using Node.js.
• Knowledge of database technologies such as MongoDB and Supabase.
• Exposure to cloud services, particularly AWS, and familiarity with hosting principles.
• Strong problem-solving capabilities and a continuous learning mindset.
• Excellent teamwork and communication skills.
• Mandatory proficiency in GIT.

Job Overview:

PGAGI Consultancy Pvt Ltd is looking for a highly skilled Software Development Engineer (SDE) to join our dynamic team. The ideal candidate will have hands-on experience in frontend development, project management, and performance optimization, with a strong background in SaaS product development, preferably in a product-based startup.

As an SDE, you will be responsible for designing, developing, and optimizing scalable web applications, ensuring high performance and a seamless user experience. You will work closely with cross-functional teams to drive innovation and implement best practices in front-end development.

Preferred Qualifications & Experience:

• Previous experience in SaaS product development.

• Experience working in a product-based startup.

• Minimum 2 years of Experience in Front-end.

Skills:

• Performance Optimization – Strong understanding of code splitting, lazy loading, and image optimization.

• Problem-solving – Ability to troubleshoot and resolve complex technical issues.

• Communication & Collaboration – Excellent verbal and written communication skills.

• Adaptability – Willingness to learn and adapt to new technologies and tools as needed.

Why Join Us?

• Work on cutting-edge SaaS products in a fast-paced environment.

• Collaborate with a talented team of engineers, designers, and product managers.

• Opportunities for continuous learning and professional growth.

• Competitive salary and benefits package.

If you are passionate about front-end development and leading software development projects while remaining hands-on with coding, we encourage you to apply!

Key Responsibilities

• Project Management & Development -
• Oversee project timelines, delegate tasks, and ensure timely delivery of features and updates.
• Collaborate with cross-functional teams to define, design, and implement scalable solutions.
• Frontend Development & Architecture -
• Design and develop scalable, maintainable, and high-performing frontend architectures.
• Ensure efficient component structuring and data flow in applications.
• Web Performance Optimization -
• Implement best practices such as code splitting, lazy loading, and image optimization to enhance performance.
• Optimize applications for fast load times and smooth user experience.
• State Management & Type Safety -
• Utilize state management libraries like Redux or MobX for handling complex application states.
• Leverage TypeScript for building robust and type-safe applications.
• Responsive Design & Accessibility -
• Develop responsive UIs using SCSS and Tailwind CSS to ensure cross-device compatibility.
• Ensure applications comply with Web Content Accessibility Guidelines (WCAG).
• Testing & Debugging
• Write and maintain unit tests, integration tests, and end-to-end tests using industry-standard frameworks.
• Debug and troubleshoot complex frontend issues efficiently.
• Build Tools & Automation
• Work with Webpack, Parcel, Vite, or Gulp to streamline development workflows.
• Optimize build processes for better performance and scalability.
• Version Control & Collaboration
• Use Git and GitHub for version control, following best practices in collaborative workflows.
• Work effectively with team members and stakeholders to drive project success.

Requirements

• Proficiency in Advanced JavaScript Frameworks – Strong expertise in React and Next.js.
• State Management – Experience with Redux, MobX, or other state management libraries.
• TypeScript Expertise – Solid understanding of type safety and scalable application development.
• Frontend Design & CSS – Hands-on experience with SCSS and Tailwind CSS.
• Testing & Debugging – Familiarity with Jest, Cypress, or other testing frameworks.
• Build & Automation Tools – Knowledge of Webpack, Parcel, Vite, or similar.
• Accessibility – Adherence to WCAG standards for web accessibility.