Team Lead - AI

• 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 and Personal Accident Insurance - BYOD (Bring Your Own Device) Benefit - Laptop Buyback Scheme RMgX Technologies is a Digital Product Engineering firm focused on AI-powered product development, digital transformation, and complex systems integration. As a Team Lead – AI, we are looking for a strong Python engineer with hands-on exposure to AI/ML or Generative AI, along with the ability to guide a small team and own critical modules. This role is ideal for someone who is transitioning into leadership while remaining hands-on in development and contributing to real-world AI-powered applications. Originally posted on Himalayas