Selected Intern Day-to-day Responsibilities Include Assist with end-to-end recruitment (sourcing, screening, coordinating interviews, onboarding). Support HR operations such as employee engagement, record-keeping, and compliance. Contribute to employer branding and outreach initiatives. Help organize team events, workshops, and activities. Support marketing and outreach campaigns as needed. Take ownership of ad-hoc projects that support overall company growth. What We’re Looking For? Currently pursuing or recently completed a degree in HR, business, or a related field. Strong communication, people, and organizational skills. Interest in startups, technology, and the AI ecosystem. Proactive, adaptable, and comfortable working on multiple tasks. Creative mindset with eagerness to learn both HR and marketing. Why Join Us? Hands-on HR experience in a high-growth AI startup. Exposure to multiple functions—HR, marketing, outreach, and operations. Work closely with founders and core team members. Opportunity to grow into a full-time role based on performance. Location: Bengaluru, India Type: Internship (with potential for full-time role) About Company: VectorX DB is a next-generation vector database engineered for speed, security, and scale. We help enterprises power advanced AI use cases such as semantic search, recommendations, RAG, and intelligent agents - without compromising on performance or data protection. Our mission is to make AI infrastructure simple, reliable, and future-ready, enabling businesses to transform unstructured data into real-world impact.
Position: Backend Engineer (Java) Experience Level: 3+ Years Location: Bengaluru Employment Type: Full-time About the Role We are looking for highly skilled Backend Engineers (Java) who can design, develop, and own SaaS products that handle large-scale, real-time data problems. This role involves building scalable systems, high-throughput data pipelines, and cloud-native services, while also shaping the long-term platform strategy. Key Responsibilities Design, develop, and own SaaS products that solve large-scale, real-time data problems. Build highly scalable systems capable of processing massive volumes of IoT and event-driven data. Translate product requirements into actionable, technical deliverables. Develop efficient, cloud-hosted services and robust data pipelines. Own architecture and implementation of critical cloud platform components: multi-region infrastructure, CI/CD pipelines, observability, and deployment systems. Lead initiatives around modular codebases, SDKs, and shared templates to improve developer velocity. Design and implement high-throughput streaming systems (e.g., Kafka, Flink) for real-time analytics and alerting. Drive cost optimization, scaling policies, and capacity planning across compute, GPU, and storage layers. Mentor team members, promote engineering best practices, and contribute hands-on to high-impact projects. Essential Skills Strong programming expertise in Java and Spring Boot. Solid foundation in computer science fundamentals: algorithms, data structures, OOP, SQL. Strong understanding of database internals and schema design for RDBMS and NoSQL. Proven experience designing low-latency APIs for large datasets. Expertise in building scalable data processing pipelines. Hands-on experience with AWS and cloud-hosted environments. Strong analytical, debugging, and problem-solving skills. Experience with Agile methodologies and product development practices. Ability to mentor and guide teams towards high-quality software delivery. Nice to Have Experience with GenAI tools or LLM-based developer workflows (e.g., GitHub Copilot, Cursor). Experience in designing systems for transitioning from single-product architecture to multi-product ecosystems. Strong system design thinking and ability to navigate large, distributed codebases. Experience with cost optimization and cloud-native scaling strategies. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 3+ years of hands-on backend development experience.