Forward Deployed Engineering is the fastest-growing role in AI product companies: part builder, part integrator, part customer engineer. Testleaf trains the full stack of that job — code, integration, LLM applications, deployment and the conversation with the client.
Sit with the customer, scope the real problem, agree what success looks like.
Prototype quickly in TypeScript or Python, wire up APIs and LLM components.
Ship into the customer's environment: containers, CI/CD, auth, observability.
Demo, document, train the customer team and feed learnings to product.
TypeScript/Python, APIs and integrations, LLM application development, rapid prototyping, deployment and customer-facing engineering.
Solution architecture, multi-system integration, AI product delivery, stakeholder engineering, technical pre-sales.
Published market data for this track. Hiring ranges, not outcome promises — figures pending validation.
₹20L – ₹40L
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Open roles, year over year
Already code and debug in unfamiliar systems.
Gap: Building and deploying, not just verifying.
Have the build skills.
Gap: Customer conversation, scoping and integration breadth.
Know the customer.
Gap: Engineering depth to build the solution themselves.
The assessment scores you against this track and tells you which gaps to close first.
Bring your current role, your target role and your timeline. You'll leave with an honest read on the gap and what to close first — no sales pitch.