conversational ai engineer

Provox Global Solutions

<p>We are looking for a mid-level <b>AI Engineer</b> to support the development of our AI-powered voice and chat systems using <b>DialogFlow CX</b>, <b>Vertex AI</b>, and <b>Gemini API</b>. This role will focus on building, maintaining, and optimizing conversational AI solutions integrated with backend logic on <b>Google Cloud Platform (GCP)</b> for healthcare applications.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and maintain <b>DialogFlow CX</b> conversational agents (voice and chat).</li><li>Integrate <b>DialogFlow Phone Gateway</b> and monitor agent behavior.</li><li>Implement grounding techniques to reduce hallucinations and ensure AI reliability.</li><li>Write <b>Node.js Cloud Functions</b> to handle conversational business logic.</li><li>Integrate external APIs and manage JSON-based data exchange.</li><li>Configure and maintain environments in <b>Google Cloud Platform (GCP)</b>.</li><li>Support <b>Vertex AI</b> and <b>Gemini API</b> integrations for advanced AI capabilities.</li><li>Conduct testing of conversational flows and ensure accuracy and performance.</li></ul><p><b>Required Qualifications</b></p><ul><li><b>2&ndash;3 years</b> experience in AI development or GCP-based environments.</li><li>Hands-on experience with <b>DialogFlow CX</b> and conversational AI tools.</li><li>Proficient in <b>Node.js</b> and working with <b>APIs</b> and <b>JSON</b> structures.</li><li>Understanding of <b>Google Cloud Functions</b> and serverless architecture.</li><li>Familiarity with <b>Vertex AI</b>, <b>Gemini API</b>, or similar LLM integrations.</li><li>Strong debugging, testing, and optimization skills.</li><li>Experience with basic <b>SQL</b> (MySQL) for data logging and tracking.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>This is an on-site position with shift hours from 7 PM to 4 AM Pakistan Time. Are you comfortable with this shift schedule?</li></ul><p>Experience:</p><ul><li>n8n: 1 year (Required)</li><li>DialogFlow : 1 year (Required)</li><li>Google Cloud Platform (GCP).: 1 year (Required)</li><li>Node.js : 1 year (Required)</li></ul><p>Work Location: In person</p>

AI Engineer

VHPL

<p>Job Title: AI Engineer &mdash; AI powered Healthcare Agents</p><p><b>Location &ndash; Malad-W Mindspace Mumbai</b></p><p><b>Contact-8652656202</b></p><p>We are building an intelligent AI Agent platform that connects seamlessly with major Electronic Health Record (EHR) and Practice Management Systems (PMS) to automate complex healthcare processes.</p><p>As an AI Engineer, you will design, implement, and optimize the AI core that powers these healthcare AI agents &mdash; including language understanding, workflow reasoning, and contextual response generation. You&rsquo;ll work closely with experts in data engineering, EHR integration, and product design to bring precision and automation into healthcare communications.</p><p>Key Responsibilities</p><p>&middot; AI Agent Development</p><p>o Build and optimize multi-modal conversational agents (voice, SMS, and email) for various healthcare processes.</p><p>o Develop LLM-based dialog systems that can interpret patient intent, verify appointment data, and drive next steps.</p><p>o Integrate with structured data sources (EHR, FHIR APIs, appointment systems) for real-time, context-aware responses.</p><p>o Design prompt architectures, retrieval-augmented generation (RAG) workflows, and context management pipelines.</p><p>&middot; Voice and Text Intelligence</p><p>o Implement speech-to-text (ASR) and text-to-speech (TTS) components optimized for healthcare accuracy and tone.</p><p>o Develop voice orchestration pipelines that connect NLP, reasoning, and telephony frameworks (e.g., Twilio, AWS Connect).</p><p>o Train and tune models for conversation flow control, interrupt handling, and multi-turn dialog coherence.</p><p>&middot; Data and Integration Collaboration</p><p>o Work closely with data engineers to consume normalized healthcare data from HL7, ODBC, and other EHR data feeds.</p><p>o Collaborate with software engineers to deploy scalable AI services via APIs or event-driven architectures.</p><p>o Support logging, auditing, and explainability frameworks to ensure every AI interaction is traceable and compliant.</p><p>&middot; Compliance C Safety</p><p>o Design agents with HIPAA, HITECH, and SOC 2-compliant data handling principles.</p><p>o Implement guardrails, hallucination checks, and response moderation to ensure clinical and conversational accuracy.</p><p>o Maintain model safety documentation and support compliance reviews.</p><p>Required Skills G &#490;ualifications</p><p>&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Computational Linguistics, or related field.</p><p>&middot; 3+ years of hands-on experience developing production-grade AI or conversational systems.</p><p>&middot; Strong proficiency with:</p><p>o Python, LangChain, LLM orchestration frameworks (e.g., LlamaIndex, Semantic Kernel)</p><p>o Vector databases</p><p>o OpenAI, Anthropic, or similar LLM APIs</p><p>o Speech frameworks: Whisper, Amazon Transcribe, ElevenLabs</p><p>o API integration with EHR/healthcare systems (FHIR, HL7v2, REST)</p><p>&middot; Deep understanding of NLP, prompt engineering, and retrieval-augmented generation.</p><p>&middot; Experience deploying AI services in AWS, Azure</p><p>Preferred Skills</p><p>&middot; Experience with telephony or voice automation frameworks (Twilio, Vonage, Amazon Connect).</p><p>&middot; Prior work on agent memory, reasoning frameworks, or tool-using AI agents.</p><p>&middot; Knowledge of data pipelines for AI training and feedback loops (RAG retraining, fine- tuning).</p><p>&middot; Exposure to EHR integrations or healthcare workflow automation systems.</p><p>&middot; Familiarity with observability and analytics tools for conversational AI (PostHog, Prometheus, OpenTelemetry).</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;1,000,000.00 - &#8377;1,200,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI  engineer: 4 years (Required)</li><li>Voice automation or Agent: 3 years (Required)</li><li>AI/ML: 4 years (Preferred)</li></ul><p>Work Location: In person</p>

AI Engineer-AI powered Healthcare Agents

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>Hyderabad, Telangana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
7 to 12 years</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13295</p></div></div></div></div><div><div><div><div><p>
Skills Required</p><div>
:</div></div><div><p>
Sagemaker</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p></div></div></div></div></div></div></div></div></div></div><p></p>

Generative AI Engineer (Module Lead/Lead)

Apple

<p>Marcom is the globally led creative team responsible for Apple&rsquo;s consumer-facing marketing. We ensure the seamless execution of extraordinary communications across all media and platforms. Every day, hundreds of millions of Apple customers worldwide get along with our products. We drive the strategic and creative work that provides both new and existing customers with simple, engaging, and inspiring marketing experiences.<br>
<br>
Join the Marcom MP&amp;S team and be a motivator for change! We're seeking a passionate AI/ML Engineer to revolutionise Apple's globally-led creative marketing. You'll be at the forefront of implementing cutting-edge AI/ML solutions, directly impacting how millions of Apple customers experience our brand. Dive into ambitious projects involving GenAI LLMs, Graph RAG, and multi-modal models, creating intelligent agentic workflows that redefine what's possible. If you're ready to push the boundaries of AI/ML and leave your mark on a global stage, this is your opportunity.<br>
<br>
<b>Description</b><br>
As an AI/ML Engineer, you'll be the architect of intelligent experiences, driving the entire machine learning project lifecycle from conception to deployment. You'll not only lead the design and development of virtual assistants using Conversational AI platforms, but also foster innovative concepts that deliver tangible business value. Partnering with business stakeholders, you'll identify key AI/ML opportunities and develop advanced analytic solutions, leveraging the power of LLM technologies to unlock new insights. Your expertise will be instrumental in guiding teams on best practices for LLM and GenAI usage, ensuring we stay ahead of the curve. Dive into complex AIOps projects, mastering clustering, classification, anomaly detection, and capacity prediction to optimize our systems.&quot;,&quot;responsibilities&quot;:&quot;AI-Powered Solutions: Drive the complete machine learning project lifecycle, ensuring best practices and detailed software delivery.<br>
<br>
Intelligent Assistants: Lead the design and development of virtual assistants using Conversational AI platforms, creating impactful and intuitive experiences.<br>
<br>
Data-Driven Insights: Collaborate with business stakeholders to identify AI/ML opportunities and develop advanced analytic solutions leveraging LLM technologies, redefining data into actionable strategies.<br>
<br>
<b>Preferred Qualifications</b><br>
Demonstrated experience in designing, building, and deploying AI/ML platforms and services at scale. A track record of developing solutions that can handle high volumes of data and traffic.<br>
<br>
Exceptional troubleshooting and analytical skills, with the ability to diagnose and resolve complex issues in distributed environments.<br>
<br>
Excellent communication, presentation, and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.<br>
<br>
A proactive and independent mindset, with a strong desire to learn and a proven track record to thrive in a fast-paced, multifaceted environment.<br>
<br>
<b>Minimum Qualifications</b><br>
Experience: 3+ years of hands-on experience implementing AI/ML models in enterprise systems.<br>
<br>
Deep understanding of core AI/ML concepts, including supervised/unsupervised learning, deep learning, and anomaly detection.<br>
<br>
Proven expertise in generative AI principles and applications, with a strong understanding of LLM architectures and fine-tuning techniques.<br>
<br>
Mastery of Python and key AI/ML libraries/frameworks (Pandas, NumPy, TensorFlow, PyTorch, etc.). Demonstrated ability to develop and deploy production-ready solutions using GenAI models.<br>
<br>
Extensive experience designing, developing, and deploying sophisticated conversational bots, including intent recognition, dialogue management, and natural language generation.<br>
<br>
Hands-on experience building and deploying solutions utilising multi-modal models and Graph RAG pipelines. Familiarity with RAG benchmarking frameworks and evaluation methodologies.<br>
<br>
Core AI/ML Competencies: Deep expertise in NLP, NLU, ML, and Conversational AI.<br>
<br>
Proven track record to seamlessly integrate bot systems with backend systems, databases, and APIs to create end-to-end solutions.<br>
<br>
BS or MS in Engineering, Computer Science, or a related field.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

ML Data Scientist

Inovola

<div>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 We are looking for a talented
 <strong>
  AI Engineer
 </strong>
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 <br/>
 <br/>
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 <br/>
 <br/>
 <strong>
  Roles &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, fine-tune, and deploy LLMs for production-ready applications.
  </li>
  <li>
   Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
  </li>
  <li>
   Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
  </li>
  <li>
   Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
  </li>
  <li>
   Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
  </li>
  <li>
   Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
  </li>
  <li>
   Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
  </li>
  <li>
   Optimize model inference, latency, and scalability in cloud and containerized environments
  </li>
  <li>
   Optimize model inference, latency, and scalability in cloud and containerized environments.
  </li>
  <li>
   Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
  </li>
  <li>
   Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
  </li>
  <li>
   Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
  </li>
  <li>
   Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
  </li>
  <li>
   Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
  </li>
  <li>
   Knowledge of LLM evaluation, prompt optimization, and context management strategies.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
  </li>
  <li>
   Understanding of generative AI models for text, image, or multimodal outputs.
  </li>
  <li>
   Familiar with traditional ML and computer vision.
  </li>
  <li>
   Strong problem-solving, collaboration, and communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  </li>
  <li>
   3+ years of hands-on experience in AI/ML model development and deployment.
  </li>
 </ul>
</div>


Mid/Senior AI Developer

RingCentral

<div>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services.
 </p>
 <p>
  As part of our ML/AI team, you&rsquo;ll own the full lifecycle of model development &mdash; from data preparation and fine-tuning to inference optimization and deployment in production environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases
  </li>
  <li>
   Build scalable retrieval-augmented generation (RAG) pipelines that combine LLMs with structured/unstructured data sources
  </li>
  <li>
   Develop prompt engineering strategies, templates, and evaluation frameworks for LLM-driven workflows
  </li>
  <li>
   Collaborate with cross-functional teams to identify and implement AI-driven solutions to business problems
  </li>
  <li>
   Optimize models for low-latency inference using quantization, distillation, and other model optimization techniques (e.g., ONNX, TensorRT)
  </li>
  <li>
   Build robust data processing, labeling, and augmentation pipelines to improve model performance
  </li>
  <li>
   Implement monitoring and evaluation systems for deployed LLMs, ensuring reliability, fairness, and safety
  </li>
  <li>
   Stay current with emerging trends in LLMs, retrieval systems, and generative AI frameworks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   1-4 years of hands-on experience in NLP/LLM.
  </li>
  <li>
   Strong proficiency in Python and PyTorch and related frameworks (like Hugging Face Transformers, Sentence Transformers etc.)
  </li>
  <li>
   Proven experience developing and deploying NLP or LLM pipelines in production environments at scale
  </li>
  <li>
   Solid understanding of transformer architectures and attention mechanisms
  </li>
  <li>
   Proficiency in using LLM provider APIs such as OpenAI, Gemini etc.including prompt design, fine-tuning, and evaluation
  </li>
  <li>
   Experience with model optimization techniques such as quantization, pruning, ONNX, TensorRT, or model distillation
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have:
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with RAG and vector databases (e.g., FAISS, Qdrant, pgVector etc. )
  </li>
  <li>
   Prior work on LLM fine-tuning, alignment, or evaluation
  </li>
  <li>
   Experience with LLM orchestration frameworks such as LlamaIndex or similar tools
  </li>
  <li>
   Familiarity with multi-provider LLM orchestration, integrating APIs from OpenAI, Gemini etc. and others for fallbacks, routing, or ensemble strategies
  </li>
  <li>
   Knowledge of MLOps for LLMs, including model serving and monitoring
  </li>
  <li>
   Understanding of embedding models, context management, and token optimization for scalable LLM applications
  </li>
 </ul>
 <p>
 </p>
</div>


AI/ML Engineer

Haptik

What we want to accomplish and why we need you?
<br><br>
Haptik is one of the world's largest Conversational AI companies, having reached over 500+ million devices, and processed over 4 billion + conversations till date. Haptik has been at the forefront of the paradigm shift of interaction from clicks to conversations. We have built a robust set of technology and tools that can enable any kind of conversational application. With a 300+ member strong team that is set to double in the coming year, Haptik is truly poised to lead the Conversational AI revolution with some of the best minds in the industry.
<br><br>
We are a full-stack conversational AI company from building products to delivering bots for our clients. We are looking for an “Integration Engineer” to believe in this mission and to help develop high-quality chatbots for our clients.
<br><br>
What will you do every day?
<br><br>
As a Software Engineer - Backend, you will be working in a fast-paced agile environment where you will use your knowledge of backend web technologies and combine them with your understanding of Haptik’s bot building tool to deliver awesome chatbots for our clients. You will be part of a talented team of Program Managers, Engineering Managers, QA Engineers, UX, and Content Specialists.
<br><br>
Ok, you're sold, but what are we looking for in the perfect candidate?
<br>Use Haptik platform tools and collaborate with the conversation design team to build conversational flows, both chat and voice-based, with amazing user experience
<br>Be comfortable working with multiple integrations in parallel and clients to understand their requirements and implementation of APIs
<br>Integrate and develop various different web-based APIs and system to build logic flows for chatbots
<br>Maintain up-to-date knowledge of technology standards, industry trends, emerging technologies, and software development best practices
<br>Participate in code reviews, automated and functional testing, and other aspects of our quality assurance process (including client validation)
<br>Create professional technical documentations and present for internal and external use
<br>Model database architecture for performance and scalability
<br>Participate in a scrum-based, agile development team
<br><br>
Requirements*
<br>Must have a Bachelor's or higher degree in computer engineering, IIT/NIT graduate preferred.
<br>2-6 years of experience in developing and integrating scalable products
<br>Good knowledge of python and Django framework
<br>Must have modeled database schemas for large scale applications using MySQL, Mongo, etc
<br>Knowledge of RabbitMQ, Redis, Elasticsearch, and Docker is a plus.
<br>Excellent written and verbal communication skills
<br>Exceptional organizational skills and time management abilities
<br>Must be a hustler and should have an entrepreneurial mindset
<br>Should be comfortable working in a fast paced environment, habitual of quick turnaround and take ownership of the project in question
<br>Bring a focused attitude to work with a strong attention to detail
<br>This role provides you access to the Personally Identifiable Information or Protected health information for which you will be abide to follow secure data handling practices to safeguard and protect such data.
<br><br>
<ul>
<li>Requirements is such a strong word. We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.</li>
</ul>
Tell me more about Haptik
<br><b>On a roll:</b> Announced major strategic partnership with Jio.
<br><b>Great team:</b> You will be working with great leaders who have been listed in Business World 40 Under 40, Forbes 30 Under 30 and MIT 35 Under 35 Innovators.
<br><b>Great culture:</b> The freedom to think and innovate is something that defines the culture of Haptik. Every person is approachable. While we are working hard, it is also important to take breaks to not get too worked up.
<br><b>Huge market:</b> Disrupting a massive, growing chatbot market. The global market is projected to attain a valuation of US $0.94 bn by the end of 2024 progressing from US $0.11 bn earned in 2015.
<br><b>Great customers:</b> Businesses across industries - Samsung, HDFCLife, Times of India are some that have relied on Haptik's Conversational AI solutions to engage, acquire, service and understand customers.
<br><b>Impact:</b> A fun and exciting start-up culture that empowers its people to make a huge impact.
<br><br>
Working hard for things that we don't care about is stress, but working hard for something we love is called passion! At Haptik we passionately solve problems in order to be able to move faster and don't shy away from breaking things!

Software Engineer - Backend

Search 10000+ Conversational ai engineer jobs near you this November. New roles added regularly across leading industries. Apply today.