geniSIGHTS Pvt Ltd

Job Title: UI Engineer

Location: Taramani, Chennai

Experience: 2–4 Years

Work Mode: On-site

Job Summary

We are looking for a creative and technically capable UI Engineer to design and develop modern, responsive, and visually polished interfaces for enterprise web applications.

The ideal candidate should combine strong visual design skills with hands-on front-end development experience in Angular. Proficiency in Figma, Angular 16+, TypeScript, HTML, and CSS, along with experience using AI-assisted development tools such as Cursor, Codex, Replit, or Lovable, is required.

Key Responsibilities

• Design and develop clean, intuitive, and responsive interfaces for enterprise web applications.
• Translate product requirements into wireframes, high-fidelity designs, prototypes, and functional UI components.
• Build reusable and maintainable components using Angular and TypeScript.
• Create and maintain design systems, component libraries, and UI standards.
• Implement responsive layouts using HTML and CSS.
• Develop clear and effective interfaces for data-intensive applications.
• Integrate front-end components with REST APIs and backend services.
• Ensure visual consistency between Figma designs and developed interfaces.
• Optimise interfaces for performance, accessibility, and browser compatibility.
• Collaborate with product managers, backend developers, and other stakeholders.
• Use AI-assisted tools to accelerate design, development, testing, debugging, and code refinement.
• Participate in code reviews and application release activities.

Required Skills and Experience

• 2–4 years of experience in UI engineering or front-end development.
• Strong proficiency in Angular, TypeScript, JavaScript, HTML5, and CSS3.
• Strong proficiency in Figma, including auto layout, components, variants, design libraries, and prototyping.
• Strong understanding of visual design, typography, colour, layout, spacing, and responsive design.
• Experience creating reusable, component-based interfaces and maintaining design systems.
• Experience integrating front-end applications with REST APIs.
• Hands-on experience with data visualisation and charting libraries.
• Working knowledge of Git and collaborative development workflows.
• Understanding of accessibility, cross-browser compatibility, and front-end performance optimisation.
• Hands-on experience with at least one AI-assisted development tool such as Cursor, Codex, Replit, Lovable, or a similar platform.
• Ability to translate designs into accurate, production-ready interfaces.
• A strong portfolio or project examples demonstrating both design capability and front-end implementation.

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.