Forward Deployed Engineer

As a Forward Deployed Engineer at SquadStack.ai, based in Noida, you'll work on building and evolving production-grade Voice AI systems that customers actively use. You'll operate close to real deployments - identifying gaps surfaced by live usage, designing solutions, and shipping them into production.

You'll leverage the SquadStack platform to configure, extend, and build AI-native workflows, while writing production-quality code where needed. You'll work in a small pod alongside Customer Success and AI PM partners, owning technical execution end-to-end. This role sits at the intersection of engineering, product, and customer reality - with a strong emphasis on code quality, system reliability, and long-term leverage over one-off fixes.

Responsibilities:

• Building custom integrations, tools, and AI workflows that unblock customer needs for brands across India and globally.
• Designing and refining AI prompts, RAG systems, and LLM-based solutions tailored to diverse market requirements.
• Writing production-quality code (Python / JavaScript) with the same standards as core engineering teams.
• Deciding whether solutions should remain custom, become reusable products for the Indian market, or move into the core platform.
• Collaborating with core engineering teams to upstream learnings and reduce future friction in global deployments.

Requirements:

• Strong programming fundamentals (Python / JavaScript preferred, but talent > language).
• Comfort with ambiguity and incomplete requirements typical of fast-paced markets.
• Curiosity about AI / ML in production environments serving high-growth sectors.

Mindset fit:

• Ownership: Takes end-to-end responsibility for outcomes, not just tasks; drives problems to resolution even across unclear boundaries.
• Pragmatic: Focused on solutions that work now and deliver immediate value.
• Curious: Wants to understand the why behind complex technical problems.
• Entrepreneurial: Treats technical challenges as business opportunities for growth.
• Communicative: Can translate technical decisions into a clear business context for stakeholders.
• AI Native: Exposure to AI systems or prompt and context engineering is essential in today's landscape.