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Bengaluru, Karnataka, India
Hybrid
At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.
We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk.
We are hiring a Solutions Engineer to build the infrastructure ASAPP's Solution Engineering team uses to win deals. You will design and evolve the prototypes, sandboxes, and integrations that bring CXP and GenerativeAgent to life for prospects.
Most of your time will go to advanced configuration of our Customer Experience Platform (CXP), our Agentic AI for customer service, and to full-stack code that makes demos compelling. You will lean heavily on AI-assisted development with Claude Code, the Anthropic API, MCP servers, and tool-use patterns. Your output is prototype-grade, but must feel real enough to anchor an enterprise buying conversation.
You may occasionally join customer meetings for a bespoke prototype, but customer-facing work is not the main expectation.
This role suits an exceptional early/mid-career engineer with about three years of experience, a strong record of shipping, and comfort with ambiguity.
Maintain demo environments on CXP: pre-configured GenerativeAgents, mock contact-center backends, simulated CRM and billing systems, and the front-ends that show them off.
Customize demos by industry (telco, financial services, travel, retail, healthcare) with realistic data and workflows.
Own the reusable scaffolding (shared components, seed data, mock services, deployment scripts) so Solution Engineers can stand up tailored demos in hours.
Build proof-of-concept integrations with Solution Engineers against a prospect's stack (Salesforce, ServiceNow, Genesys, Twilio, custom APIs).
Turn vague customer requirements into working prototypes that show feasibility without becoming production code.
Join customer-facing sessions when needed and explain your work clearly to both technical and business audiences.
Use Claude Code, the Anthropic API, and MCP to ship faster than feels reasonable.
Build internal MCP servers so demo agents can call into mock systems and prospect environments.
Share patterns, prompts, and eval setups across Solution Engineering and Product.
Send field feedback from demos back to Product and Engineering.
Help standardize demo best practices and reusable assets.
About three years of professional engineering experience, with a record of shipping end to end.
Comfort across the stack: a credible front-end (React or similar) and back-end (Python or Node.js).
Hands-on use of Claude Code or a similar agentic coding tool, with direct experience using the Anthropic API and building or extending MCP servers.
Strong product instincts: you know when “good enough to demo” is the right bar.
Fluent professional English, written and verbal.
Based in Bengaluru or Chennai.
Conversational AI, contact center, CCaaS, IVR, or ASR experience.
Building agents, RAG systems, or LLM-powered applications.
Integrating enterprise systems (Salesforce, ServiceNow, Genesys, Twilio, Zendesk, REST or GraphQL APIs).
Front-end polish: design sensibility, component libraries, Figma.
Solution Engineering, Sales Engineering, or pre-sales background.
Regulated industries (financial services, healthcare, telecom).
