• 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.
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