Sr Conversation Designer

We are looking for a hands-on Voice AI Engineer to own the technical delivery of an enterprise voice automation program for an industrial equipment and services business.

You will take the solution from discovery and architecture through agent development, integrations, testing, deployment and ongoing optimisation. The initial focus is inbound calls across service, parts and rental, with approximately 300 calls per day.

This role suits someone who can turn a working demonstration into a reliable production service and work directly with customer teams to make it effective.

What you will build

A connected Voice AI solution that answers calls on existing business numbers, identifies customers and equipment, understands requests and routes conversations to the appropriate workflow.

The solution will capture structured call records, integrate with existing CRM and service-management systems, and transfer urgent or complex calls to people. Customer and equipment information will come from a database refreshed through scheduled data synchronisation.

Your responsibilities

• Own technical delivery: Translate business requirements into architecture, implementation plans, integration specifications and acceptance criteria.
• Build voice agents: Develop reception and specialist agents for service, parts and rental, with shared context and reliable hand-offs.
• Improve conversation quality: Configure speech recognition, voice generation and language models. Optimise latency, interruptions, turn-taking, pronunciation and handling of background noise.
• Implement telephony: Configure inbound routing, existing-number connectivity, concurrent calls, live transfers, after-hours handling and fallback routes.
• Connect business systems: Build APIs, webhooks and middleware for CRM, service queues and customer databases. Implement scheduled synchronisation, retries and duplicate prevention.
• Capture usable records: Generate accurate summaries and structured fields covering customer details, equipment, reason for calling, urgency, outcomes and relevant sales interest.
• Build safeguards: Implement call-duration and monthly-usage caps, alerts, escalation rules and checks that requests have been successfully logged.
• Test and launch: Develop realistic test scenarios, run integration and load testing, support customer acceptance testing and manage production deployment.
• Operate and improve: Monitor call quality, integration failures, latency and cost per minute. Investigate incidents and refine agent behaviour using transcripts and customer feedback.
• Document the solution: Maintain architecture diagrams, configuration records, deployment procedures and operational runbooks.

What we are looking for

• Strong development skills in Python and/or JavaScript/TypeScript.
• Experience shipping at least one Voice AI or conversational AI solution into production.
• Hands-on understanding of speech-to-text, text-to-speech, language models and tool/function calling.
• Experience with telephony APIs, SIP, call routing and human transfers.
• Strong API integration skills, including authentication, webhooks and asynchronous processing.
• Working knowledge of SQL databases, data synchronisation and cloud deployment.
• Experience with logging, monitoring, error handling and production troubleshooting.
• Ability to implement secure access, protect personal information and manage recordings and transcripts appropriately.
• Confidence working directly with customers, explaining technical trade-offs and taking ownership of delivery.

Useful additional experience

• Multi-agent orchestration and context management.
• Integration with enterprise CRM, workflow or document-management platforms.
• Retrieval-based knowledge systems and structured information extraction.
• Contact-centre, field-service, equipment rental or industrial service workflows.
• Automated conversation testing and evaluation.

What success looks like

• A stable deployment that meets agreed call-handling and integration targets.
• Clear, natural conversations with appropriate escalation to people.
• Accurate service requests and sales leads reaching the correct systems.
• Reliable controls over usage, cost and failure handling.
• Measurable improvements following testing and customer feedback.

Why join

You will own a live enterprise implementation from the first technical discussion through production operations. You will have direct access to decision-makers and the opportunity to build reusable components for future Voice AI deployments.

How to apply

Share your CV and a brief description of a Voice AI solution you have built. Explain your personal contribution, the integrations involved and one production challenge you solved.

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities-

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

• Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

• Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

• Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

• Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

AI Product Builder | Consumer Experiences

TL;DR: ₹1 lakh/month. HSR Layout, Bengaluru. Full-time, in-person preferred, with flexibility for an exceptional fit. Use AI to build and refine consumer experiences. No CV or prior experience required. Apply by email, then an unpaid 48-hour workout assignment.

I'm Vishnu, building Aira. AI is the biggest equaliser we have, but nobody has figured out the consumer use case yet. I think Aira will be the reason everyday people start using AI daily.

I don't believe chatting is the final interface for AI. So Aira is built around a hand-drawn character that feels alive, shapes what's on your screen, and brings voice, animation and music together. The goal is the best answer, delivered in the best way for your situation, with help acting on it.

Say you're deciding what to cook. Aira helps you pick a meal, shows the ingredients, arranges the purchase with your confirmation. While you cook, it keeps the recipe and your current step on screen, speaks short instructions, and waits while your hands are busy. The same screen won't work at the gym, in meditation or while fixing a tyre. The conversation, the actions and what you see and hear should feel like one experience that adapts to what you're doing.

I'm hiring people who would have wanted to work on the first iPhone. People who obsessed over the small details that made something unfamiliar feel natural, and cared about what a person felt the first time they used it.

We've built the foundation. Your job is to take an experience, decide how it should work, build it with AI, and keep agonising until it feels right. In practice: tuning prompts and behaviour files, building or changing screen components with AI, and testing what you've made.

You may not yet be able to explain why an interaction feels incomplete. I want you to follow that feeling and build a better version. That's why we don't ask for a CV, prior experience or a coding background. We need product thinking, creativity and ownership — you question what AI gives you, make it work, and keep improving it.

We're launching in San Francisco this month. You'll work directly with me and help shape what people experience the first time they meet Aira.

The process

You'll build a workout experience from a minimal starter. We give you a stepper, a timer and the component plumbing; you decide how it behaves and build the rest. Anyone can attempt it, before any screening. You have 48 hours after receiving it. It's unpaid, for evaluation only, and your work stays yours.

AI helps me review, but I pick the shortlist myself. Shortlisted candidates get a 30-minute conversation. I aim to reply within 24 hours of submission and finish within a week.

We're building the AI operating system for the $600B global managed IT market.

Managed service providers (MSPs) run IT for lots of small and mid-sized businesses. Their technicians spend most of the day on repetitive tickets — setting up new joiners, sharing folders, fixing sign-in issues. Our first product is an AI service desk. It learns how each MSP works, turns a ticket into a plan of exact steps, and runs only what a technician approves.

Our vision is to build additional products for other parts of the MSP's business (such as voice AI, business operations and analytics), turning this into the one AI operating layer for the MSP business.

We've just raised a $4.4M pre-seed from Seedcamp, Futurepresent and Entree Capital. Our founders previously built upGrad ($2B) and Kapiva ($250M), and come from Bain Capital, Parthenon, and Morgan Stanley. Our co-founders both studied CS at IIT Delhi.

We're building a small team with very high talent density in Mumbai — people from IIT Bombay, Yale, Rippling and more.

The role:

We're hiring our first Product Designer — someone who will shape how the product looks, feels, and works from the ground up.

The hardest design problem we have is trust. A technician needs to feel comfortable letting AI make changes in a customer's Microsoft 365 or Google Workspace. So every screen needs to make it very clear what the AI knows, what it plans to do, and what it changed — and still be fast enough that a busy service desk actually uses it.

You'll work directly with the co-founder who leads product and our engineers, and own design end to end — from customer calls to shipped product.

What you'll do:

• Own the product experience end to end. Take problems from a first customer conversation to rough sketches, prototypes, and polished UI that ships — then keep improving it once it's live.
• Design how people and AI work together. Decide how the product explains what it knows, asks for approval, shows its progress, and owns up when something goes wrong. Make it easy for a technician to say yes with confidence.
• Make complex work feel simple. IT work is detailed and technical. You'll turn it into clear, fast experiences that busy teams can use without training.
• Stay close to customers. Join customer calls, watch technicians at work, test ideas with them every week, and bring what you learn straight into the product.
• Prototype fast, ideally in code. Use AI and design tools (Claude, Figma and others) to build working prototypes, so we learn from real use rather than static mockups.
• Design everywhere the product shows up — the app, integrations with tools technicians already use, operational dashboards and more.
• Build a lean design system. Give our engineers the building blocks to ship consistent UI without waiting on you.
• Set the bar for design. As our first designer, you'll shape how design is done here — the standard of quality, how we work, and who we hire next.

A few problems you might pick up in your first months: a single approval to set up 50 new joiners, with a clear "48 done, 2 need attention — and why"; a way for teams to see what the AI has learnt about each client, where it came from, and how to undo it; and a simple view that tells an owner the AI is working.

What we're looking for:

• Great product design work you've actually shipped. Consumer or B2B doesn't matter — we care much more about how you think than where you've worked.
• Strong craft and taste. Simple, clean and fast over flashy — think Linear, not a design studio website.
• Comfort going deep on a complex subject. You'll need to learn how things like Microsoft 365 groups and licences work, and enjoy doing it.
• Speed. You prototype in code or with AI tools and get ideas in front of users quickly.
• You use AI every day. You have opinions on what makes AI products feel trustworthy — and what makes them feel risky.
• High ownership and clear writing. You can take a messy problem all the way to something shipped, and explain your thinking simply along the way.

Nice to have:

• You've designed AI or agent products before.
• Early-stage startup or founder experience.
• You can write front-end code (React / Tailwind).

Probably not the right fit if

• Most of your work is brand, marketing, or research.
• You need a detailed spec and a design manager to do your best work.

Why join us?

• Real ownership. We're very early, so you'll shape how design works here — not inherit someone else's system.
• A hard, new problem. AI that takes real actions on real systems is still being figured out. You'll help define what good looks like.
• Fast impact. You'll work directly with the founders and see your work in customers' hands within weeks.

Shivalik Design Pvt Ltd — GOTS-certified garment export house in Faridabad, Haryana, manufacturing for UK/EU brands. We are hiring for a full-time, on-site role in Faridabad.

About the role:

We are building AI-driven automation across our factory and export operations. As AI Automation Lead (Operations), you will design, build, and own AI/automation workflows that connect our ERP, WhatsApp, Google Sheets, and email — and roll them out across production, quality, merchandising, and logistics.

Responsibilities:

- Design and deploy automation workflows across ERP, WhatsApp Business, Google Sheets/Drive, and email.

- Build and maintain LLM-powered agents for document processing, query handling, status updates, and reporting.

- Own the automation backlog for factory operations: production planning, dispatch tracking, sample approvals, QC, inventory, and shipping documentation.

- Integrate internal systems (ERP, PLM, messaging) via APIs, webhooks, and low-code platforms.

- Set standards, document flows, train operations staff, and measure impact (time saved, error rate, throughput).

- Collaborate with IT and operations leadership on data, security, and scaling.

Requirements:

- 3–5 years experience with n8n, Make (Integromat), Python, and LLM agents.

- Hands-on automation across ERPs, WhatsApp Business API, Google Workspace (Sheets, Drive, Gmail, Calendar), and email workflows.

- Strong Python; comfort building REST API connectors, webhooks, and scheduled jobs.

- Experience prompting, fine-tuning, or orchestrating LLMs (OpenAI, Anthropic, Gemini, open-source) into agentic workflows.

- Comfort working on-site with factory/operations teams and translating business needs into automation.

Nice to have:

- Garment/apparels/exports domain experience.

- Experience with SAP, Oracle, Tally, Zoho, or similar ERPs.

- Knowledge of OCR, document extraction, and structured data pipelines.

Compensation: ₹14–24 LPA, full-time, on-site at Faridabad (Haryana).

Shivalik Design Pvt Ltd — GOTS-certified garment export house in Faridabad, Haryana, manufacturing for UK/EU brands. We are hiring for a full-time, on-site role in Faridabad.

About the role:

We are looking for an AI Automation Specialist to design and run no-code / low-code automation and AI-agent workflows that connect our factory, supply-chain and office systems.

What you'll do:

- Build automation workflows using no-code tools (n8n, Zapier, Make) and AI assistants.

- Integrate ChatGPT and Gemini APIs into recurring operational workflows (document handling, data extraction, summaries, alerts).

- Connect ERP, WhatsApp, Google Sheets, email and other tools used across factory operations.

- Own day-to-day monitoring, error-handling and iteration of automation runs.

- Translate operational requirements into working AI-agent flows and share runbooks.

What we're looking for:

- 1–3 years of hands-on no-code automation / AI-agent work.

- Practical experience with n8n, Zapier and Make.

- Working knowledge of ChatGPT and Gemini APIs and how to plug them into automation.

- Comfortable with spreadsheets, mail and WhatsApp integrations.

- Based in, or willing to relocate to, Faridabad (on-site, full-time).

The Role

We’re looking for a Senior Applied AI & Data Engineer to become our first dedicated AI and data engineer.

You’ll build conversational AI experiences across web, mobile, and in-store channels while developing the data foundation behind them. You’ll make key technical decisions and own your work through to production.

What You’ll Do

• Build AI assistants using tool calling to work with real product, search, and order systems

• Design guardrails and evaluation sets to ensure AI responses are accurate and safe

• Build real-time and voice-enabled AI experiences

• Improve product data quality through AI-assisted enrichment and review workflows

• Build data pipelines, analytics, and personalisation systems

• Work closely with web and mobile developers and help guide technical implementation

What You’ll Need

• 6+ years of experience building and running production backend systems

• Strong Python skills, plus experience with JavaScript/TypeScript backends

• Experience shipping at least one LLM-powered feature to real users

• Experience with search and relevance

• Experience building data pipelines and analytics stores

• Comfortable deploying and monitoring services on a major cloud platform

• Strong communication skills and the ability to work independently

Nice to Have

• Experience with speech or voice AI

• E-commerce or retail technology experience

• Experience building multilingual products

Strong Product Designer from top college profile

2

Mandatory (Experience) - Minimum 2+ YOE in UX / Product Design, with strong focus on B2C Products

3

Mandatory (Portfolio) - Strong portfolio of UX / Product Design works for top / high-traffic B2C Products

4

Mandatory (Company): Top B2C product company

5

Mandatory (Education) - Must have Design Education (BDes, MDes) from Tier1 college (NIT, NIFT. IIT). Tier2 colleges will be given 2nd priority

6

Mandatory (Exclusion) - Only UX designer wont work, we need product designers

7

Mandatory (Age)—The candidate's age should be below 28 years

8

Preferred (Experience) - Must have design system, AI product design, conversational design keywords

Designation: AI Adoption specialist/AI Consultant

Location: Ahmedabad

Work Timings: Primarily Normal Shift (Flexible to support US clients)

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

 Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.

 Assess client requirements and prepare solution strategies using AI tools and methodologies.

 Work with internal teams to design, propose, and help execute AI-powered solutions.

 Provide AI-based recommendations that align with the client’s business objectives.

 Communicate technical possibilities in a business-friendly manner to decision-makers.

 Take ownership of the client journey from discovery to implementation and support.

 Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:  Minimum 2+ Years of hands on experience into Custom AI Development.  Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.  Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologis).  Some hands-on experience in AI projects – either through execution, coordination, or implementation.  Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.  Flexible to work with international clients, especially in the US time zone as needed.

Apply here (application form): https://forms.gle/NTa8z6TpCg8PzUYD8

SuperKalam (YC W23) is building the best AI tutor platform out of India, in the vein of Duolingo. We are eager to talk to a Product Designer with an amazing sense of quality and strong ownership.

Requirements

• Ideally 2 to 4 yrs of experience of both functional and beautiful designs
• Solid product thinking, previously worked in a product based org
• Strong design portfolio
• Asks the right questions, knows user data and keeps different user segments in mind
• Has worked on design systems, like dark and light themes
• Must use AI in design processes and product thinking
• Multidisciplinary thinking, e.g. motion design flows using tools like Jitter / Rive / Lottie
• Bonus: gamification / personalisation flows

Responsibilities

• Work closely with the founders and engineering team and lead initiatives
• Prototype in Figma or build AI prototypes
• Add visual delight to the UI via illustrations and animation
• User insights, competitive analysis, data-driven decisions, collating user feedback

Who will thrive here: enjoys complex product problems, balances speed vs design perfection, hungry to learn, ownership mindset and a strong individual contributor.

Compensation: 18 to 25 LPA based on experience. ESOPs for the right candidate.

Interview: resume shortlisting, 20 min intro call, then an assignment (about 2 days; we never use assignment work without permission or pay), product round (1 hour, in person) and final closure discussion.

Location: Bengaluru. Full-time. Full JD: https://www.ycombinator.com/companies/superkalam/jobs/gvVQ5BQ-product-designer-2-4yrs-experience