FairgroundHyderabad, Telangana, India · On-site
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Hyderabad, Telangana, India · On-site
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Fairground
Hyderabad, Telangana, India • On-site
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Design and implement backend systems and AI-driven workflows to enhance sales intelligence features. Maintain a scalable platform for high availability and low latency while collaborating with founders and product managers.
Requires 2-4 years of software engineering experience with proficiency in Python or Node.js and database management. Experience with cloud platforms and a comfort with ambiguity in fast-paced startup environments are essential.
Fairground is a B2B GTM data platform. We ingest, enrich, and structure millions of company and contact records across verticals, and turn them into reliable go-to-market signal inside our products. Data is the product — and how well we build the pipeline behind it is the business.
What You'll Do
Design, implement, and improve backend systems and AI-driven workflows, working closely with senior engineers on architecture decisions.
Work with AI models and no-code/low-code automation tools to help enhance sales intelligence features.
Help maintain and optimize our scalable platform for high availability, low latency, and smooth integrations.
Write clean, maintainable, and well-tested code, and apply engineering best practices consistently.
Work closely with founders, product managers, and customers to help ship impactful features.
Actively seek feedback, participate in code reviews, and start contributing to the technical culture.
2–4 years of experience in software engineering, ideally in fast-paced startups or high-growth tech companies.
Solid experience with backend development using Python, Node.js, or similar languages.
Working knowledge of databases (PostgreSQL, MongoDB, or similar).
Some experience with cloud platforms (AWS, GCP, or Azure).
Comfortable navigating ambiguity and developing solutions with support from the team.
You thrive in a fast-paced environment and take ownership of your work.
Bonus points for experience with AI & LLM agentic frameworks or exposure to building low-code platforms.
