# Conversational Developer at Dazn

> Onsite · India · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/pinpoint%3Adazn%3A553910 (read 2026-11-08).

## Facts (observed)

- Company: [Dazn](https://alderhq.app/companies/dazn)
- Location text: India - Hyderabad, TSIIC, Raidurg,
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "hyderabad"")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-06
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.dazn.com/en/postings/341995c8-86b4-4e13-acf3-2a73bd417d41
- Skills listed (inferred): JavaScript, Node.js, Python, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 11): p25 $68k, median $93k, p75 $126k

## Description (the employer's text)

Why Join DAZN?

Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. You’ll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Leeds offers a dynamic work environment with a great balance of career growth and lifestyle. If you’re excited about shaping the future of live and on-demand sports entertainment, DAZN Leeds is the perfect place to make your mark and grow your career.

### Responsibilities

- Build Impactful Conversational Experiences: Design and deliver intelligent bots for both chat and voicechannels, creating seamless customer journeys across web, WhatsApp, Facebook, and voice platforms.
- Work with Cutting-Edge AI Technologies: Implement conversational solutions powered by Generative AI (LLMs) and Agentic AI systems, enabling next-gen automation and personalization.
- Design End-to-End Architectures: Take ownership of the full solution — from ideation, wireframing, and flow design to API integration and production deployment.
- Collaborate with Cross-Functional Teams: Work closely with Product, Engineering, and Customer Service teams to align conversational solutions with business goals and deliver measurable impact.
- Influence the Future of Automation: Drive innovation, propose enhancements, and shape best practices to scale conversational AI across the organization.
### Skills

- Conversational AI Platforms: Expertise in Yellow.ai, Rasa, Dialogflow CX/ES, Cognigy, Kore.ai, or Microsoft Bot Framework.
- Custom Flow Design: Experience building dynamic bot flows, NLP tuning, fallback handling, and multi-language support.
- Channel Integrations: Ability to integrate bots across Web, WhatsApp, Facebook Messenger, and Voice (Dialogflow, Amazon Lex).
- Scripting Skills: Proficiency in JavaScript, Node.js, or Python for creating custom logic and dynamic responses.
- NLP Expertise: Strong understanding of intent/entity recognition, NER, slot-filling, dialogue state management, and conversation memory.
- Generative AI (LLM): Hands-on experience with OpenAI GPT, Claude, Cohere, and prompt engineering (zero-shot, few-shot). Experience with Agentic AI systems is a strong plus.
- Voice Bot Development: Knowledge of STT/TTS integration and designing voice-optimized dialogues.
- API & Backend Experience: Strong understanding of RESTful APIs, webhooks, and event-driven architecture.
- Zendesk Experience: Familiarity with Zendesk Support, ZIS, or Ticketing API for bot-to-agent handoff and ticket automation (preferred).
- Analytical & Problem-Solving Mindset: Ability to use analytics to monitor bot performance, reduce fallback rates, and iteratively improve solutions.
- Collaboration & Communication Skills: Comfortable working with diverse teams and simplifying complex solutions for both technical and non-technical stakeholders.
- Adaptability: Thrives in a fast-paced, evolving environment, and proactively contributes to improving products and processes.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Adazn%3A553910 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.