Software Developer – AI & Full Stack

About Flowcall Flowcall is an AI-powered customer service automation platform that helps D2C and e-commerce brands resolve support queries automatically — across WhatsApp, email, voice, Instagram, and web chat. Our clients include

Atomberg, mCaffeine, Hyphen, Ugaoo, Knya, and Damensch . We consistently achieve 80–90% query automation rates, enabling our clients to dramatically reduce support team sizes while improving customer experience. We're growing fast — 25% MoM — and we're looking for builders who want to be at the frontier of applied AI.

The Role You'll be part of a small, high-ownership engineering team working directly with the founders. This isn't a role where you'll spend months on one isolated feature — you'll be across the system, shipping things that matter, and building tools that multiply the team's leverage. If you're energised by fast feedback loops and working close to real-world AI deployments, this is for you.

What You'll Work On

• Build and maintain features across our full stack — Angular frontend, Express/TypeScript backend, PostgreSQL
• Integrate and optimise LLM APIs (OpenAI, Gemini) for automated customer support workflows
• Design and build internal automation tooling to help the team move faster — think workflow orchestrators, prompt management systems, evaluation pipelines
• Work on WhatsApp Business API integrations, voice AI features, and multi-channel messaging pipelines
• Contribute to system reliability, observability, and performance improvements as we scale
• Collaborate directly with founders and the CTO to shape product and technical direction

Tech Stack TypeScript | Angular | Express.js | PostgreSQL | OpenAI API | Gemini API

What We're Looking For Must-Have

• Strong proficiency in TypeScript — you write clean, maintainable, production-grade TS
• Solid understanding of backend development with Node.js/Express or similar frameworks
• Experience with relational databases (PostgreSQL preferred)
• Genuine curiosity about AI and a willingness to learn fast — new models, tools, and paradigms drop every few weeks and you need to keep up
• Strong problem-solving instincts and the ability to navigate ambiguity in a fast-moving startup Nice-to-Have
• Prior experience working with LLM APIs (OpenAI, Anthropic, Gemini, etc.) — prompt engineering, function calling, RAG pipelines
• Experience building internal tools or automation scripts to improve team efficiency
• Familiarity with Angular or another modern frontend framework
• Understanding of conversational AI systems, chatbot architectures, or customer service automation
• Experience with messaging APIs like WhatsApp Business API or similar platforms

What to Expect

• Direct access to founders and a flat team structure — your voice matters from day one
• Fast, iterative environment — ship fast, learn faster, and iterate based on real customer data
• Broad ownership of features and systems across the product
• The opportunity to work on cutting-edge applied AI problems in a vertical that's seeing rapid innovation
• Competitive compensation and meaningful equity in a company on a strong growth trajectory

Who Thrives Here

• You're a self-starter who is comfortable diving into an unfamiliar system, figuring out how it works, and proposing improvements. You treat automation as a force multiplier — if something can be scripted, templated, or systematised, you'll build the tool for it. You don't wait to be told what to do next.