Forward Deployed Engineer

As a Forward Deployed Engineer at SquadStack.ai, 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. Some work moves fast; some work is planned and iterative. What matters is that priorities are driven by real customer outcomes, not by work defined quarters in advance.

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.
• Designing and refining AI prompts, RAG systems, and LLM-based solutions.
• Writing production-quality code (Python / JavaScript) with the same standards as core engineering.
• Deciding whether solutions should remain custom, become reusable, or move into the core product.
• Collaborating with core engineering teams to upstream learnings and reduce future friction.

Requirements:

• Strong programming fundamentals (Python / JavaScript preferred, but talent > language).
• Comfort with ambiguity and incomplete requirements.
• Curiosity about AI / ML in production (expertise is a bonus, not a requirement).

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.
• Curious: Wants to understand the why behind problems.
• Entrepreneurial: Treats technical problems as business problems.
• Communicative: Can translate technical decisions into a business context.
• AI Native: Exposure to AI systems or prompt and context engineering.