
11 - 50 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
RMgX Technologies LLP is a company that focuses on providing comprehensive product development services. Their two core verticals are Design Studio and Tech Garage, where they assist clients from idea generation through to final product development and launch. RMgX Technologies LLP aims to collaborate closely with clients to turn visions into reality, offering expertise in both design and technology throughout the product development process.
🕒 March 24
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11 - 50 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
RMgX Technologies LLP is a company that focuses on providing comprehensive product development services. Their two core verticals are Design Studio and Tech Garage, where they assist clients from idea generation through to final product development and launch. RMgX Technologies LLP aims to collaborate closely with clients to turn visions into reality, offering expertise in both design and technology throughout the product development process.
• Design and develop scalable AI-enabled backend systems and applications • Integrate LLM APIs (OpenAI, LangChain, etc.) into business use cases • Build and maintain backend services and APIs for AI-driven features • Contribute to development of AI-powered applications (chatbots, automation tools, etc.) • Guide and support junior developers, ensuring code quality and best practices • Work on improving performance, latency, and reliability of AI systems • Collaborate with cross-functional teams to translate requirements into solutions • Troubleshoot and debug issues in production systems • Participate in sprint planning and ensure timely delivery of assigned modules • Work with basic MLOps practices, including model deployment, monitoring, and versioning (good to have)
• B.E/B.Tech/MCA in Computer Science, IT, or related fields. • 3–5 years of professional experience in software development, with strong focus on Python-based backend development • Hands-on experience or exposure to AI/ML/NLP or Generative AI use cases • Experience in building and deploying APIs, microservices, and scalable applications • Familiarity with integrating LLM APIs or AI services into real-world applications • Exposure to MLOps concepts, such as model deployment, monitoring, or lifecycle management (good to have) • Demonstrated experience in mentoring or guiding junior team members/interns • Experience working in Agile environments, contributing to sprint-based delivery • Ability to take ownership of modules/features and deliver with minimal supervision • Experience in debugging, performance optimization, and production support
• Flexible working hours • Health Insurance • Personal Accident Insurance • BYOD (Bring Your Own Device) Benefit • Laptop Buyback Scheme
Apply Now🕒 March 13
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