New opportunity

AI Solutions Engineer

OneInbox · Bengaluru, India

About this role

OneInbox seeks an AI Solutions Engineer to turn enterprise voice-conversation requirements into production-ready agents. The role sits between customers and the product team, tailoring workflows to customer languages and compliance rules. OneInbox’s voice AI platform handles calls in Japanese, English, Hindi, and Arabic for customers including banks, real estate firms, and government services.

Responsibilities

  • In the first 30 days, shadow senior solutions engineers on enterprise deployments, take ownership of a small portfolio of pilot or onboarding customers, and learn the OneInbox studio, configuration model, and integration surface.
  • By 60 days, run discovery calls, translate requirements into working agent configurations within days, debug live calls, work with engineering on reproducible product gaps, and own end-to-end deployment for 2–3 enterprise accounts.
  • By 90 days, drive go-live for the portfolio, coordinate hand-off with customer success managers, document repeatable deployment patterns, and bring engineering 3–5 evidence-backed product opportunities.

Requirements

  • 0–2 years in solutions engineering, technical consulting, or applied engineering; comfort writing scripts and configuration. Senior engineering experience is not required.
  • Excellent written communication, including the ability to summarize a 60-minute call in five bullets; curiosity about voice, conversation design, or applied AI; and initiative in addressing problems.

Working arrangement and benefits: This is a full-time, in-office role in Bengaluru, India. OneInbox offers a competitive salary and equity, medical, dental, and vision coverage for employees and dependents, flexible time off, an annual learning and development budget with conference and travel support, catered meals on office days, commuter support, wellness benefits, and regular in-person off-sites across Tokyo, Singapore, Dubai, and Bengaluru.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Solutions engineeringTechnical consultingScriptingConfigurationVoice AIConversation designApplied AIDiscovery callsCall debuggingEnterprise deploymentsCustomer onboardingIntegrationsWritten communication

Your skill match

Checking your profile…

YOUR NEXT STEP

Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Turn discovery into working agents

    The role calls for running discovery and converting customer requirements into agent configurations within days. Prepare to explain how you would capture a workflow, clarify open questions, and summarize a long customer call in a few actionable bullets.

  • Own enterprise deployments through go-live

    The posting expects ownership of pilot or onboarding customers, then end-to-end deployment for 2–3 accounts by day 60 and go-live by day 90. Prepare to describe how you would track decisions, dependencies, and hand-off to customer success.

  • Debug calls and make product gaps reproducible

    The role includes debugging live calls and working with engineering on reproducible product gaps. Prepare to show how you would separate a configuration issue from a possible product issue and communicate the evidence clearly.

  • Build reusable patterns and product feedback

    By day 90, the role is expected to document repeatable deployment patterns and bring engineering 3–5 evidence-backed product opportunities. Prepare to explain how you would turn account-specific findings into useful documentation and well-supported feedback.

Likely challenges to think through

  • Speed versus workflow accuracy

    A likely difficulty is delivering configurations within days while respecting each customer's language and compliance rules; this is a preparation hypothesis, not a reported failure. Prepare to discuss what you would clarify before configuring an agent and what you would verify before go-live.

  • Customer ownership versus engineering escalation

    Owning deployments while partnering with engineering may require deciding what to resolve in scripts or configuration and what to escalate as a product gap. Prepare a concise approach to reproducing an issue, recording its customer impact, and keeping the deployment moving.

  • Account-specific work versus repeatability

    Tailoring agents for several enterprise accounts may compete with the day-90 goal of documenting reusable patterns. Prepare to explain how you would capture common configuration decisions without assuming that different customers share the same workflow or rules.

03

Practice your answers

Technical practice

Practice question: How would you turn a discovery call into a working voice-agent configuration?

What to coverThe role calls for running discovery calls and producing working configurations within days. Suggested preparation: Explain how you would capture the customer’s workflow, language and compliance needs, resolve ambiguities, and check the configuration against the agreed requirements.

Practice question: How would you design a voice conversation for a specific customer workflow?

What to coverThe posting emphasizes tailored workflows rather than generic agents. Suggested preparation: Describe how you would map caller goals, agent responses, likely points of confusion, and a way to check whether the conversation completes its intended task.

Practice question: What would you check when adapting an agent to another language?

What to coverOneInbox says its platform handles calls in Japanese, English, Hindi, and Arabic. Suggested preparation: Discuss how you would confirm the customer’s language requirements and review whether the conversation remains clear and accurate with appropriate language input.

Practice question: How would you incorporate a customer’s compliance rules into an agent workflow?

What to coverThe posting says customers need workflows that follow their compliance rules, but names no specific regulation. Suggested preparation: Explain how you would obtain the applicable rules from the customer, translate them into configuration decisions, and verify the resulting behavior without assuming unstated requirements.

Practice question: When would you use a script rather than configuration?

What to coverThe role requires comfort writing scripts and configuration and learning OneInbox’s configuration model. Suggested preparation: Compare maintainability, speed of change, and clarity for the next person supporting a deployment; do not assume a particular language or tool.

Practice question: How would you scope an integration needed for a customer deployment?

What to coverThe first-30-days plan includes learning the product’s integration surface. Suggested preparation: Describe the information you would gather about the required data exchange, dependencies, and failure behavior before configuring and testing the workflow.

Practice question: How would you debug a live call that did not follow the intended workflow?

What to coverDebugging live calls is an explicit responsibility. Suggested preparation: Walk through comparing the observed conversation with the expected configuration, narrowing down where behavior diverged, and checking a proposed fix.

Practice question: How would you make a suspected product gap reproducible for engineering?

What to coverThe role partners with engineering on reproducible product gaps. Suggested preparation: Explain how you would provide the expected and observed behavior, relevant configuration and call evidence, and clear reproduction steps while distinguishing a product issue from a configuration issue.

Practice question: What would you verify before an enterprise agent goes live?

What to coverBy 90 days, the role is expected to drive go-live for its customer portfolio. Suggested preparation: Outline checks against the agreed workflow, languages, compliance rules, integrations, and known issues, along with how you would communicate unresolved risks.

Practice question: How would you identify an evidence-backed product opportunity from deployments?

What to coverThe posting asks for 3–5 product opportunities backed by evidence. Suggested preparation: Explain how you would distinguish a recurring product need from a one-off configuration request and present examples, customer impact, and the trade-offs of a proposed change.

Behavioural practice

Practice question: Tell me about a time you managed competing customer or project priorities.

What to coverThe role involves owning a small portfolio during onboarding and later handling multiple enterprise deployments. Suggested preparation: Give a real situation, the priorities you weighed, the actions you took, and the result; explain how you kept stakeholders informed.

Practice question: Tell me about a time you acted on a problem before someone assigned it to you.

What to coverThe posting explicitly values initiative in addressing problems. Suggested preparation: Use a real situation/action/result example that shows what you noticed, why you acted, and what changed.

Practice question: Tell me about a time you condensed a complex discussion into a useful written summary.

What to coverThe posting highlights the ability to summarize a 60-minute call in five bullets. Suggested preparation: Describe the audience, how you selected decisions and open questions, what you wrote, and the result.

Practice question: Tell me about a time you coordinated a hand-off between teams.

What to coverThe role includes partnering with customer success managers on go-live hand-offs. Suggested preparation: Give a real situation/action/result example covering what the receiving team needed, how you conveyed outstanding issues, and whether the hand-off worked.

Practice question: Tell me about a time you documented a process so someone else could use it.

What to coverThe posting calls for documenting repeatable deployment patterns to help the next solutions engineer ramp faster. Suggested preparation: Explain the situation, how you identified what was reusable, what you documented, and the result for the next person.

02

Sharpen your knowledge

Topics to prepare

  • Enterprise workflow and compliance scoping

    The posting says customers need agents tailored to a specific workflow, language, and compliance rules. Suggested revision exercise: take a hypothetical bank call scenario and list the questions needed to define its steps, permitted responses, and unresolved compliance constraints; do not assume any particular rule applies.

  • Voice conversation design

    The role calls for curiosity about voice and conversation design, and the platform handles Japanese, English, Hindi, and Arabic calls. Suggested revision exercise: sketch a short agent conversation with a clarification, a failed response, and a recovery path; note where language-specific review would be needed. Language fluency is not stated as a requirement.

  • Configuration and integration boundaries

    The first 30 days include learning OneInbox’s studio, configuration model, and integration surface. Suggested revision exercise: diagram how customer requirements could become agent settings and identify what information an integration would need. The posting does not specify an integration protocol or tool.

  • Deployment and product-feedback lifecycle

    The role progresses from pilots and onboarding to go-live, CSM hand-off, repeatable deployment patterns, and evidence-backed product opportunities. Suggested revision exercise: map those stages and write down what evidence would distinguish a configuration issue from a product gap.

Skills to revise

  • Discovery-call synthesis

    The posting expects discovery calls and a 60-minute call summarized in five bullets. Suggested exercise: use a hypothetical customer brief to draft discovery questions, then write five bullets covering the workflow, language, constraints, open questions, and next steps.

  • Writing scripts and agent configuration

    Comfort with scripts and configuration is an explicit requirement; working agent configurations are a first-60-days responsibility. Suggested exercise: draft a small, tool-agnostic configuration and script for a sample call flow, then check them against the stated requirements. No programming language is specified.

  • Live-call debugging and reproducible escalation

    The role includes debugging live calls and working with engineering on reproducible product gaps. Suggested exercise: from a fictional failed-call transcript, record the expected and observed behavior, steps to reproduce, and evidence still needed.

  • Deployment documentation and hand-off

    The posting calls for go-live, CSM hand-off, and documentation of repeatable patterns. Suggested exercise: write a one-page hand-off for a hypothetical pilot covering its configured workflow, known limitations, unresolved questions, and a reusable deployment checklist.

04

Your preparation checklist

  • Prepare a project walkthrough

    Choose a relevant solutions, consulting, or applied-engineering project—or a clearly labeled practice exercise. Show the customer need, your scripts or configuration, integration decisions, troubleshooting, and outcome without implying experience you do not have.

  • Practice discovery and five-bullet synthesis

    Draft questions about a customer’s call workflow, language needs, compliance rules, integrations, and go-live criteria. Turn a sample 60-minute discovery conversation into five concise bullets, as the role’s writing requirement describes.

  • Sketch a voice-agent configuration

    Create a hypothetical agent flow showing conversation branches, handoffs, configuration choices, and integration points. Explain how you would adapt it to a customer’s language and compliance requirements; do not assume access to OneInbox’s studio.

  • Rehearse live-call debugging

    Prepare a short example of a failed call, with the observed behavior, expected behavior, reproduction steps, and evidence you would give engineering. The role explicitly includes debugging calls and reporting reproducible product gaps.

  • Map an enterprise deployment and hand-off

    Draft a compact plan from pilot or onboarding through configuration, validation, go-live, and customer-success hand-off. Include a repeatable deployment note another solutions engineer could use.

  • Prepare evidence-backed product feedback

    Make a template that links a customer problem to call examples, frequency or impact, a reproducible gap, and a proposed improvement. Use it to explain how you would prioritize opportunities rather than inventing actual OneInbox product gaps.

  • Bring focused questions for the employer

    Ask how discovery becomes a working configuration within days, what tools are available for call debugging, how compliance needs are validated, and what distinguishes a successful go-live and CSM hand-off.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in India. Matched to this role, not your profile.

Explore more jobs
Finding similar opportunities…