Solutions Engineer

Asapp


Job Location:

Chennai - India

Monthly Salary: Not Disclosed
Posted on: 9 days ago
Vacancies: 1 Vacancy

Job Summary

At ASAPP our mission is simple: deliver the best AI-powered customer experiencefaster than anyone else. To achieve that were 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.

Were seeking technologists and problem solvers who thrive in fast-paced environments love collaborating with great talent and approach every day like its Day 1. Were a globally diverse team with hubs in New York City Mountain View Latin America and Indiaembracing both hybrid and remote work to bring the best minds together wherever they are. If youre driven by continuous learning rapid pivots and the challenges of building in a high-growth startup wed love to talk.

We are hiring a Solutions Engineer to build the infrastructure ASAPPs 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.

What youll do

Build the demo platform

  • 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.

Prototype for live opportunities

  • Build proof-of-concept integrations with Solution Engineers against a prospects 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.

Be ASAPPs in-house AI-coding power user

  • 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.

Collaborate

  • Send field feedback from demos back to Product and Engineering.

  • Help standardize demo best practices and reusable assets.

What youll need

  • 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 ).

  • 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 on a hybrid schedule.

What wed like to see

  • 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).

How We Work

You will sit inside Solution Engineering and work closely with Product Engineering and AI Research with direct exposure to how the largest enterprise CX organizations evaluate AI.

Benefits

  • Competitive compensation
  • Stock options
  • ICICI Lombard General Insurance LTD
  • Onsite lunch & dinner stipend
  • Connectivity (mobile phone & internet) stipend
  • Wellness perks
  • Mac equipment
  • Learning & development stipend
  • Parental leave including 6 weeks paternity leave
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin disability age or veteran status. If you have a disability and need assistance with our employment application process please email us at emailprotected to obtain assistance. #LI-AA1 #LI-Hybrid
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

IC

At ASAPP our mission is simple: deliver the best AI-powered customer experiencefaster than anyone else. To achieve that were 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 ski...

About Company

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Improve customer experience and radically increase CX performance at the same time. This AI-Native® software platform provides AI-driven predictions on what agents should and do throughout each interaction and increasingly automates routine tasks before, during, and after the conversa ... View more

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