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Location: Gurugram, HR, India
Department: Other
Job Description
• 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)
Qualifications
Additional Information
Company Description
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.
From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 907 posts).
The post asks for 3–5 Yrs experience.
It is a remote job.
It is a full time job.
You apply on RMgX Technologies LLP's website. CoreHRx takes you there after you sign in.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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