Technical Lead

6 hours ago

Bengaluru, Karnataka, India MsgKart Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Company Description

MsgKart empowers businesses by delivering seamless customer interactions with AI-driven, multi-channel communication. Our platform integrates AI Chatbots, Voice Bots, and IVR solutions to enhance customer experience, reduce support costs, and boost engagement across channels such as WhatsApp, Instagram, RCS, and SMS. We tailor our platform to scale from SMBs to Enterprises by integrating LLMs (Language Learning Models) and RAG (Retrieval-Augmented Generation) for personalized, real-time responses. MsgKart is committed to streamlining operations, improving lead generation, and providing AI-based automation while ensuring data security.

Role Description

This is a full-time on-site role for a Technical Lead located in Bengaluru. The Technical Lead will be responsible for overseeing the development team, managing project timelines, ensuring the quality of deliverables, and providing technical guidance. The role includes coordinating with stakeholders, designing scalable architecture, and optimizing code for performance. The Technical Lead will also mentor team members, conduct code reviews, and stay updated with the latest industry trends and technologies.

Qualifications

  • Strong proficiency in programming languages such as Java, Python, Go
  • Experience with AI, Machine Learning, and data-driven technologies
  • Proficiency in designing scalable architecture and optimizing code for performance
  • Strong working knowledge of
    AWS core and managed services
    (ECS, EKS, RDS, Lambda, S3, EC2, CloudFront, Route53, CloudWatch).
  • Proven experience in managing and leading development teams
  • Strong problem-solving skills and ability to mentor team members
  • Effective communication and stakeholder management skills
  • Bachelor's degree in Computer Science, Engineering, or related field; Master's degree is a plus
  • Experience with AI Chatbots, Voice Bots, IVR solutions is beneficial
  • Familiarity with LLMs (Language Learning Models) and RAG (Retrieval-Augmented Generation) is a plus

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