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Job Description

BambooBox

BambooBox is a SaaS-based software start-up with 4+ years of expertise, offering a platform for growth marketers.

With its advanced AI and ML-driven platform, BambooBox helps companies deliver untapped marketing intelligence to business teams and increase the marketing contribution to the overall revenue.

We work with clients like Airtel Business, Darwinbox, Acalvio, and other global organizations.

We are backed by investors such as Peak XV (earlier Sequoia Surge), Emergent Ventures, and Arc180.

We are in the process of scaling the organization and are in a high-growth phase.

Job Location : Bangalore.

Job Type : Work from Office.

Summary :


Join us in our adventure to make the lives of business teams easier while creating value for them.

BambooBox is looking for a rockstar developer who can build a set of intelligent agents that help marketing teams.

The role :

Join the Gen AI team at BambooBox to build and integrate next-gen AI featuresincluding LLM-powered chatbots and RAG-based servicesby designing backend systems in Node.js and Python, developing ETL pipelines, and deploying APIs and cloud functions.

You will collaborate closely with ML engineers and product teams to transform generative AI concepts into real-world SaaS features.


Key Responsibilities :


- Gen AI Feature Development : Design, develop, and integrate next-gen AI features, specifically focusing on LLM-powered chatbots and RAG (Retrieval-Augmented Generation)-based services.


- Backend System Design : Build robust and scalable backend systems using Node.js (Express/FastAPI) and Python.


- Data Pipeline Engineering : Develop and optimize ETL pipelines for both structured and unstructured data, ensuring efficient data flow for AI models.


- API & Cloud Deployment : Deploy APIs and cloud functions efficiently, leveraging cloud platforms and containerization.


- Cross-functional Collaboration : Work closely with ML engineers, product teams, and other stakeholders to understand requirements and translate generative AI concepts into tangible SaaS features.


- Mentorship & Guidance : Take accountability for assigned tasks, and actively mentor and guide junior developers within the team.


Technology Stack :


- Backend : Node.js (Express/FastAPI), Python


- Data pipelines : Building ETL for structured & unstructured data


- Databases : SQL (PostgreSQL) and MongoDB


- Cloud : GCP, AWS (Kubernetes)


What Makes You Stand Out :


- Minimum 4 years of experience in developing products with good exposure to LLM (Large Language Model) technologies.


- Proven experience in designing and building scalable backend services and RESTful APIs.


- Demonstrated ability in implementing and optimizing ETL pipelines.


- Hands-on experience in integrating LLM-based features such as chatbots, RAG systems, and conversational agents.


- Excellent collaboration skills for working effectively with cross-functional teams.


Behavioral Requirements :


- Customer Centricity : Possess a strong urge to help customers by developing robust products that solve their real-world problems.


- Achievement-Oriented : Be proactive and results-driven in achieving your goals and delivering high-quality outcomes.


- Accountability & Mentorship : Willingness to take accountability for your tasks, along with a commitment to mentoring and guiding juniors in the team.


- Curiosity & Continuous Learning : Be inherently curious, with a passion for learning new things, upskilling yourself, and continuously improving.


- Integrity & Impact : Uphold integrity as fundamentally important and demonstrate a strong desire to make a significant impact through your work.


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