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Cuebo.ai

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Software Engineer

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Summary

Develop and maintain Python/Django applications for GenAI products focused on sales and support automation. The role involves integrating NLP/LLM models, collaborating on full-stack features, and managing cloud-native infrastructure in an early-stage startup environment.

Compensation: ₹40,000 – ₹80,000 • No equity

**About Cuebo.ai** At Cuebo.ai, we're not just building tools—we're redefining how sales and support conversations happen every day. We're using GenAI and NLP to help businesses hire, on-board and train sales and customer support teams. We're an early-stage startup with bold ambitions and real traction. If you want to work at the intersection of AI, language, and impactful user experiences, this is your chance to be part of something transformative. **What You’ll Do** * Design, build, and maintain Python/Django applications that power our Gen AI products. * Collaborate with frontend engineers, data scientists, and product designers to deliver high-quality features fast. * Contribute to scalable, cloud-native infrastructure that supports real-time AI use cases. * Integrate and fine-tune NLP/LLM models in production environments. * Take ownership of features from ideation to deployment, and iterate based on real-world usage. * Participate in code reviews, tech discussions, and team stand-ups. * Continuously learn and contribute to improving our engineering processes and culture. **What We're Looking For** * 1–2 years of hands-on experience in Python, preferably with Django or a similar framework. * Familiarity with either frontend development (React/TypeScript) or cloud infrastructure (Terraform, Kubernetes) is a strong advantage. * Understanding of RESTful APIs and object-oriented programming. * Curiosity or prior exposure to NLP and LLM tools is a plus, but not required. * Experience with Git and collaborative software development workflows. * Strong problem-solving ability and eagerness to take initiative. * Clear communicator who thrives in a fast-paced, high-ownership environment. * A degree in Computer Science, Engineering, or equivalent practical experience. **What to Expect** * Pace: We move fast. You’ll be expected to contribute early and work across the stack. * Responsibility: Take ownership of core product features. * Learning: You’ll work closely with experienced engineers and founders, learning how AI systems are built and shipped in production. * Impact: What you build will be used by real businesses to drive revenue and efficiency. * Growth: This role can evolve into full-stack, infra, or AI-specialist tracks based on your strengths and interests. **Why Cuebo.ai** * Help shape the future of Gen AI in sales and customer support. * Work on real-world AI applications that deliver measurable business impact. * Learn fast, ship fast, and grow fast with a mission-driven team. * Gain early startup experience with potential for accelerated career growth.

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