We are seeking a highly skilled AI Engineer with expertise in RAG (Retrieval-Augmented Generation) systems, agentic AI applications , and LLM-based solutions . The ideal candidate will design, develop, and scale intelligent AI pipelines and multi-step AI agents, while ensuring high performance, reliability, and seamless integration with enterprise systems. Responsibilities: Design and build scalable RAG pipelines , integrating embedding models , vector databases , and LLM inference layers for high-accuracy, low-latency applications . Develop and deploy autonomous, multi-step AI agents and workflows using frameworks like LangChain, LangGraph, AutoGen , etc., to solve complex problems across text, document, audio, and video domains . Maintain ML applications by managing CI/CD deployment (Kubernetes) , monitoring performance, and iterating on production models using log analysis and stakeholder feedback . Prototype cutting-edge LLM and Transformer-based models for structured and unstructured data . Lead and mentor by conducting technical reviews of AI models , establishing best practices, and optimizing team output. Collaborate with product managers, developers, and customers to innovate and integrate scalable AI solutions . Required Skills & Experience: 46 years of experience in artificial intelligence / machine learning , with successful industry-grade AI solution deployments . Minimum 1+ years of hands-on experience in building Agentic AI applications . Strong programming expertise in Python and libraries such as PyTorch, TensorFlow, Hugging Face, Scikit-learn . Experience with LLM APIs (OpenAI, Claude, Gemini, etc.) and agentic frameworks (LangChain, LangGraph, AutoGen, AgentBuilder). Strong knowledge of vector databases (Pinecone, Chroma, Milvus, Elasticsearch) and API integration/orchestration tools . Hands-on experience with CI/CD deployment, monitoring, log analysis , and preferably Kubernetes . Exposure to cloud platforms (AWS, GCP, Azure) is an added advantage.
We are seeking a highly skilled IT Manager responsible for managing, maintaining, and optimizing our IT systems, tools, and infrastructure. The role involves Atlassian administration (Jira, Confluence) , Google Workspace , and Zoho management, as well as overseeing system and network monitoring, IT asset management, end-user support, and hardware/software troubleshooting . The ideal candidate will drive operational efficiency, conduct regular audits, and scale IT infrastructure to support organizational growth. Key Responsibilities Atlassian Administration Jira Administration, Jira Service Management, workflows, and Confluence Administration. Google Workspace Administration user management, configuration, and policy enforcement. Zoho Suite Experience setup, configuration, and troubleshooting. System & Network Monitoring – configuring and maintaining firewalls, routers, switches, access points, and other network devices. Provide end-user support and troubleshoot technical issues across Windows, Mac OS, and Ubuntu environments. Assist with hardware and software issues to ensure smooth IT operations. Manage IT assets and device assignments , maintenance, and lifecycle tracking. Conduct regular audits of IT assets, applications, and ensure compliance with IT policies. Maintain accurate IT documentation , SOPs, and system knowledge base. Configure and scale IT systems and networks for a rapidly growing organization. Collaborate with global teams and provide technical support across geographies. Perform other duties as required within the scope of IT operations. Qualifications & Skills Experience: 4–7 years in IT Support, System & Network Administration, or IT Management. Expertise in Atlassian Tools – Jira Administration, Jira Service Management, Confluence. Strong Google Workspace Administration knowledge. Hands-on experience with Zoho tools . Proficiency in network monitoring, device configuration, and troubleshooting . Advanced knowledge of Windows, Mac OS, and Ubuntu systems (preferred). Strong problem-solving, communication, and documentation skills . Ability to manage multiple priorities in a fast-paced environment.
We are seeking an experienced Senior Java Developer with 610 years of expertise in Core Java and JEE technologies. The ideal candidate will have strong knowledge of object-oriented programming, design patterns, and modern development practices. This role requires hands-on experience in building scalable applications, working with cloud environments, and implementing microservices-based architectures. Key Responsibilities: Design, develop, and maintain high-performance applications using Core Java, JEE, Spring Boot, Spring MVC, Lombok, and Hibernate/JPA . Implement RESTful and SOAP-based web services , ensuring scalability and security. Collaborate with cross-functional teams to define, design, and deliver new features. Work with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes . Develop and optimize Microservices architectures and API integrations. Write clean, efficient, and testable code using JUnit, Mockito , and best practices. Manage CI/CD pipelines using tools like Jenkins, Sonar, Artifactory, Maven , and Git-based version control systems. Work with databases (SQL, PostgreSQL) , ensuring high performance and reliability. Provide technical leadership , mentor junior developers, and contribute to architectural decisions. Ensure adherence to software development standards, coding guidelines, and security protocols. Required Qualifications: Bachelors degree in Computer Science, Engineering, or related field (Masters degree preferred). 6–10 years of experience in Java development with expertise in Core Java and JEE . Strong understanding of object-oriented programming, design patterns, and best practices . Hands-on experience with: Spring Boot, Spring MVC, Lombok Hibernate/JPA Maven RESTful & SOAP services Strong coding experience in Java, JUnit, Mockito . Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Familiarity with Microservices architectures and API management . Solid experience with ORMs (Hibernate, JPA) and relational databases ( SQL, PostgreSQL ). Knowledge of CI/CD pipelines, Git, Sonar, Jenkins, Artifactory . Excellent communication, problem-solving, and leadership skills . Preferred Skills: Exposure to Agile methodologies and DevOps practices. Experience in performance tuning and application optimization. Knowledge of security frameworks and best practices in application development.