18 Voice Ai Jobs

You will be joining Credgenics, India's leading SaaS-based debt collection platform, where innovation and agility are highly valued. By leveraging AI, ML, and advanced analytics, Credgenics helps financial institutions improve recovery rates, optimize collection spends, and enhance operational efficiency. In your role as a Data Scientist specializing in Voice AI, you will focus on developing and deploying GenAI-powered Speech-to-Text (STT) and Text-to-Speech (TTS) models to drive voicebot automation within the collections platform. Collaboration with cross-functional teams is essential to implement voice solutions that enhance customer interactions, reduce manual intervention, and scale conversational engagement. **Key Responsibilities:** - Implement and fine-tune STT and TTS models for real-time customer conversations. - Work with engineering teams to integrate speech models into collection workflows and customer engagement platforms. - Develop ML pipelines for speech models to ensure low latency and high accuracy. - Continuously monitor and optimize model performance in terms of accuracy, latency, and naturalness of voice. - Enable automation of customer communication through seamless voicebot deployment. - Collaborate with product managers, engineers, and operations teams to design AI solutions for debt lifecycle management. **Qualifications Required:** - 3-5 years of experience in Voice AI, Voicebot development, or Conversational AI, preferably in a product/startup environment. - Strong experience with speech recognition (STT/ASR) and speech synthesis (TTS) deployment. - Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, and Keras. - Proficiency in Python programming and experience in API-based model integration. - Practical experience deploying models in production environments, preferably on cloud platforms like AWS, GCP, or Azure. - Experience in latency optimization, error reduction, and real-time deployment of speech models. - Ability to collaborate effectively across teams to deliver impactful, applied AI solutions.,

Are you a driven sales professional with a passion for Customer Experience and emerging tech like Voice AI and Conversational AI Vion Consulting is redefining the way businesses connect with their customers and is seeking someone like you with 4-5 years of proven experience in IT Sales, particularly in the Customer Experience (CX) and Contact Center domain. **Key Responsibilities:** - Drive end-to-end sales cycles for CX and AI-driven solutions - Build and grow relationships with key clients and decision-makers - Identify new business opportunities within existing and new accounts - Stay updated on trends in Voice AI, Conversational AI, and CX tech - Collaborate with pre-sales/tech teams to deliver customized solutions **Qualifications:** - 4-5 years of IT sales experience (CX/Contact Center domain preferred) - Strong client network and relationship-building skills - Passion for learning new technologies like Voice AI & Conversational AI - High-energy, target-oriented, and self-motivated personality - Excellent communication and negotiation skills If you are passionate about technology and enjoy closing deals that have a real impact, let's connect! Feel free to DM for more information. **Location Preference:** Delhi NCR, Mumbai, Hyderabad At Vion Consulting, you will be responsible for hunting, farming, and managing accounts in your region. This is an opportunity for independent Go-Getters who enjoy working with professionals to shape their career in a company that values strong, independent action and thinking. **Additional Details:** Understanding of Cloud telephony, CX, and Customer Service market space is required. The ideal candidate should be well-read and capable of engaging with Senior Management Executives with good written and spoken communication skills.,

About April We&aposre a Y Combinator-backed startup building AI-powered voice executive assistants for email and calendar management. As an early-stage company, you&aposll work directly with founders and have significant impact on our technical architecture and product direction. Requirements 2-6 years of software development experience Prior experience at a product-based company 2+ years working with TypeScript or Python Interest in building AI products (prior experience preferred but not required) Must work from office (6 days) Preferred Qualifications Experience with Voice AI or AI tooling Active GitHub profile with consistent contributions Founding engineer or early-stage startup experience Strong communication skills Experience building consumer-facing products Track record of meeting project deadlines Degree from premier technical institutes Compensation & Benefits Extremely competitive salary Early employee equity participation Quarterly performance hikes Comprehensive health insurance Future opportunity for relocation to San Francisco (anticipated within 2-3 years) Standard startup perks and benefits Role Expectations This position offers the opportunity to build core backend infrastructure for a rapidly growing AI product. You&aposll be responsible for developing features that directly impact end users, working with cutting-edge AI technologies, and contributing to architectural decisions in a collaborative environment. Show more Show less

Req ID: 333041 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: . 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education . (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. . (Must Have) 2+ years of experience with Python . (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots . (Must Have) 1+ years of experience with Playbooks , Vertex AI . (Must Have) Exposure to ADK (hands-on) and Voice AI . (Good to have) , LangChain and/or LangGraph is a plus . (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning) . (Good to have) ,4+ years of experience with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services . (Good to have) ,2+ years of Deep Domain Driven Design experience with cloud native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s or Serverless cloud technologies. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Are you a driven sales professional with a passion for Customer Experience and emerging tech like Voice AI and Conversational AI Vion Consulting is redefining the way businesses connect with their customers and is seeking an individual with 4-5 years of proven experience in IT Sales, particularly in the Customer Experience (CX) and Contact Center domain. In this role, you will be responsible for driving end-to-end sales cycles for CX and AI-driven solutions, building and nurturing relationships with key clients and decision-makers, identifying new business opportunities, and staying informed about trends in Voice AI, Conversational AI, and CX tech. Collaboration with pre-sales and tech teams to deliver customized solutions will also be a key aspect of the role. The ideal candidate should possess 4-5 years of IT sales experience, preferably in the CX/Contact Center domain, a strong client network, and relationship-building skills. A passion for learning new technologies such as Voice AI and Conversational AI, along with a high-energy, target-oriented, and self-motivated personality are essential. Excellent communication and negotiation skills are also required. If you are passionate about technology and enjoy closing deals that have a real impact, we encourage you to get in touch. This role offers the opportunity to work in Delhi NCR, Mumbai, or Hyderabad. Responsibilities include hunting, farming, and managing accounts in your region, making this an ideal opportunity for independent Go Getters. This role allows you to work with professionals, unleash your creativity, and build a career in an environment that values strong, independent action and innovative thinking. Qualifications for this role include an understanding of Cloud telephony, CX, and Customer Service market space, as well as the ability to engage with Senior Management Executives effectively through both written and spoken communication.,

Sense is looking for a Director of Design to join their team and help enhance their product design organization. In this role, you will oversee the design process for various products including Sense AI Recruiter, Workflows, Voice AI, Chatbot, Talent Intelligence, and CRM. Your responsibilities will include leading design projects, managing and growing the design team, and ensuring the quality of products meets customer needs. As a Design Director at Sense, you will lead, mentor, and support a team of product designers to deliver high-quality products that meet customer requirements. You will work closely with Engineering, Product, and Design leads to develop strategies and operations for initiatives, focusing on user-centered design. Additionally, you will be responsible for defining and expanding the design department, recruiting talent, and representing design across the organization. Collaboration with the founders and other leadership members is essential to define the company's growth trajectory. You will also interact with marketing teams to oversee brand activities. Building strong relationships with your team, fostering open communication, and encouraging innovative ideas will be key to success in this role. In the future, you will have the opportunity to shape the future of AI-powered recruiting, design Voice AI experiences, and redefine the Sense Chatbot platform. You will be instrumental in driving Sense's entry into the large enterprise hiring market and collaborating with the marketing team to bring the new Sense brand to life. The ideal candidate for this role will have 10+ years of experience with a minimum of 4 years in a leadership position. Strong management and mentoring skills, experience in complex enterprise and SaaS products, and a background in HR and Recruiting Tech are desired. The ability to navigate a complex company structure, contribute to significant business impact, and possess a strong grounding in UX product design and visual skills are also essential. Sense offers various perks and benefits, including equity, medical insurance for employees and dependents, quarterly Professional Development allowance, and Company Wellness Days. Sense is an equal-opportunity employer that values diversity, inclusion, and belonging in the workplace. If you are a seasoned design professional with a passion for leading and growing design teams, Sense invites you to join them in shaping the future of product design and innovation.,

We are looking for a highly experienced Voice AI /ML Engineer to take the lead in designing and deploying real-time voice intelligence systems. This position specifically involves working on ASR, TTS, speaker diarization, wake word detection, and developing production-grade modular audio processing pipelines to support next-generation contact center solutions, intelligent voice agents, and high-quality audio systems. You will be operating at the convergence of deep learning, streaming infrastructure, and speech/NLP technology, with a focus on creating scalable, low-latency systems that cater to diverse audio formats and real-world applications. Your responsibilities will include: - Building, fine-tuning, and deploying ASR models such as Whisper, wav2vec2.0, and Conformer for real-time transcription. - Developing high-quality TTS systems using VITS, Tacotron, FastSpeech for natural-sounding voice generation. - Implementing speaker diarization to segment and identify speakers in multi-party conversations using embeddings and clustering techniques. - Designing wake word detection models with ultra-low latency and high accuracy even in noisy conditions. In addition to the above, you will also be involved in: - Architecting bi-directional real-time audio streaming pipelines utilizing WebSocket, gRPC, Twilio Media Streams, or WebRTC. - Integrating voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. - Building scalable microservices for audio processing, encoding, and streaming across various codecs and containers. - Leveraging deep learning and NLP techniques for speech and language tasks. Furthermore, you will be responsible for: - Developing reusable modules for different voice tasks and system components. - Designing APIs and interfaces for orchestrating voice tasks across multi-stage pipelines. - Writing efficient Python code, optimizing models for real-time inference, and deploying them on cloud platforms. Join us to be part of impactful work, tremendous growth opportunities, and an innovative environment at Tanla, where diversity is championed and inclusivity is valued.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will need to have 4+ years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. The ideal candidate should have at least 2+ years of working experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products at scale using cloud services and architectures. Additionally, you should possess 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Exposure to Playbooks, Vertex AI, ADK, and Voice AI is also required. It would be beneficial to have knowledge of LangChain and/or LangGraph, and 4+ years of experience in the Contact Center industry, specifically in design, development, testing, integration with vendors, CRMs, and business applications. Proficiency in IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, and customer journey optimization using AI/ML is a plus. Furthermore, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, NoSQL Databases (Cassandra or Mongo), Graph Databases, and Public Cloud Marketplace services is desirable. Experience with Deep Domain Driven Design and cloud-native Microservices designed for massive scale and seamless resiliency on platforms like PCF/VMWare Tanzu, K8s, or Serverless cloud technologies will be an advantage. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 50 countries and a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is also a leading provider of digital and AI infrastructure worldwide, committed to helping clients innovate, optimize, and transform for long-term success. If you are an exceptional, innovative, and passionate individual looking to grow with a prestigious organization, apply now to be a part of NTT DATA's dynamic team.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join the team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent, demonstrated through work experience, training, military experience, or education. To be considered for this role, you must have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products using cloud services and architectures at scale. Additionally, you should have at least 2 years of experience with Python, and 3 years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Experience with Playbooks and Vertex AI is required, along with exposure to ADK and Voice AI. Knowledge of LangChain and/or LangGraph is considered a plus. Furthermore, candidates with 4+ years of Contact Center industry experience, including design, development, testing, integration with vendors, CRMs, and business applications, are preferred. Familiarity with IVR/IVA, NLU/NLP, Real-Time Omni channel Agent experience, customer journey, and CX/AX optimization using AI/ML is advantageous. Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches, Elastic Search technologies, GraphQL, and NoSQL Databases is beneficial. Experience with Graph Databases and Public Cloud Marketplace services is also a plus. Deep Domain Driven Design experience with cloud-native Microservices designed for massive scale and seamless resiliency is desirable, preferably deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA has a diverse team of experts in more than 50 countries and collaborates with a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As a leading provider of digital and AI infrastructure, NTT DATA is dedicated to advancing organizations and society into the digital future confidently and sustainably.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. It is essential to have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, delivering products with cloud services and cloud architectures at scale. In addition, you should have 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Furthermore, 1+ years of experience with Playbooks and Vertex AI is required for this role. Exposure to ADK (hands-on) and Voice AI is a must. While not mandatory, having experience with LangChain and/or LangGraph is considered a plus. Additionally, 4+ years of Contact Center industry experience would be advantageous, including design, development, testing, integration with vendors, CRMs, and business applications. Proven knowledge in contact center subdomains such as IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, customer journey, and CX/AX experience optimization using AI/ML is beneficial. Moreover, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services is a good-to-have skill set. Experience with Deep Domain Driven Design with cloud-native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies for at least 2 years is also an added advantage. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. Being a part of NTT DATA means being part of a diverse team of experts in over 50 countries, with a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website for more information.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

As a Senior AI Engineer - Voice AI / Autonomous Agents at Spyne, you will have the opportunity to own and build Spynes in-house voice bot stack. In this high-impact individual contributor role, you will be at the intersection of LLMs, ASR/TTS, and voice UX, focusing on creating deeply human, latency-optimized conversations between auto dealerships and their customers. Your main responsibilities will include: Voice AI Stack Ownership: Building and owning the end-to-end voice bot pipeline, including ASR, NLU, dialog state management, tool calling, and TTS to deliver a natural, human-like conversation experience. LLM Orchestration & Tooling: Architecting systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implementing retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Designing scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and fine-tuning turn-taking models for natural conversation. Model Tuning & Hallucination Control: Using fine-tuning, LoRA, or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Building robust observability, running real-time call QA pipelines, and analyzing interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Working closely with product, infra, and leadership to scale this bot to thousands of US dealerships. To be successful in this role, you should possess: Architect-level thinking: Understanding how ASR, LLMs, memory, and tools fit together and having the ability to design modular, observable, and resilient systems. LLM Tooling Mastery: Implementing tool calling, retrieval pipelines, function calls, or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: Knowing how to chunk, embed, index, and retrieve, while avoiding prompt bloat and token overflow. Latency-First Mindset: Debugging token delays, understanding the cost of each API hop, and optimizing round-trip time to maintain human-like interactions. Grounding > Hallucination: Tracing hallucinations back to weak prompts, missing guardrails, or lack of tool access and effectively addressing them. Prototyper at heart: Being unafraid of building from scratch and iterating quickly, utilizing open-source or hosted tools as necessary. The ideal candidate will have: 5+ years of experience in AI/ML or voice/NLP systems with real-time experience. Deep knowledge of LLM orchestration, RAG, vector search, and prompt engineering. Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools. Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. Solid understanding of latency optimization, streaming inference, and real-time audio pipelines. Hands-on experience with Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP). Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior. Working at Spyne offers real-world AI impact at scale, a high-performing team that balances speed with technical depth, high autonomy and visibility from day one, rapid career acceleration, access to MacBook and all necessary tools and compute, a flat structure with real work focus, and no BS. Join us in redefining how cars are marketed and sold with cutting-edge Generative AI.,

Role & Responsibilities: Design & implement AI workflows to automate CRM, trip quotations, lead follow-ups, and customer chat/voice queries Build smart agents using GPT (chat + voice) for internal & customer use (OpenAI, Twilio, CallHippo) Integrate travel APIs (flights, hotels, activities) with our platform for live quotation generation Automate repetitive tasks using Make.com, Zapier, and internal tools Work with the Product and Creative teams to bring AI to media creation (photo/video sorting, customer albums, etc.) Develop performance dashboards, auto-suggestion tools, and smart seller assistants Stay up to date with AI trends in TravelTech and test applicable models for use Preferred Candidate Profile: 2 to 5 years of real-world experience in applied AI, automation, or backend systems Strong Python skills (FastAPI, LangChain, Pandas, etc.) Hands-on with OpenAI/GPT APIs, Twilio, WhatsApp integrations Familiarity with automation tools like Make.com, Zapier Passionate about travel, tech, and creating impact Bonus: Experience in e-commerce, SaaS, or travel-tech products

Position Summary: We are looking for a dynamic Senior Voice AI Developer / Voice AI Architect to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our business.You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable.Your expertise will help us harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage in our industry. Key Responsibilities: Design, develop, and oversee the implementation of end-to-end AI solutions Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization Create architectural approaches for AI software and hardware integration Define AI solution objectives and ensure alignment with business outcomes Monitor AI industry trends and maintain state-of-the-art industry knowledge Implement best practices for AI testing, deployment, and maintenance Qualifications:- Candidates should be B.Tech/M.tech/MCA (CSE/IT) preferably from premium institutes. 5+ years of experience in Node.js / javascript / TypeScript 5+ years of relevant experience in AI Frameworks Mandatory Skills: Google Dialog flow, Open AI Intergration, Google STT/TTS & Nodejs Node.js: Competent in developing and maintaining applications. GCP Services: Proficient in GCP logs, services, and custom deployment configurations. Dialog flow Expertise: Strong understanding of conversational agent design and integration for Voice Applications. Speech-to-Text & Text-to-Speech: Functional knowledge of speech processing. Functional Knowledge of Audio Streaming/Processing Applications Function Knowledge of Conversational AI Generative AI: Foundational understanding of Gen AI concepts and applications. Proven understanding of scalable computing systems, microservices architectures, software architecture, data structures, and algorithms Working with defined processes and policy (e.g. Peer review, test driven development, coding standards and deployment process) Excellent proven analytical problem solving skills. Self-motivated high performer and able to perform with minimal supervision, who can lead by example. Excellent written and verbal communication skills. Good To Have: Exp. in Integration with Azure Open AI Working Knowledge of Any CCAI Framework/Applications Audio Intelligence Frameworks Experience with Back-end technologies like NoSQL, RDBMS, Cache Management Experience working with AWS Technologies - Lambda, API Gateway, S3 Agile Development Methodology Experience to work with geographically distributed teams. Knowledge of any CRM (WFM) will be a bonus, preferably ServiceNOW is a big plus. Benefits: - Flexible Working Hours. Hybrid Working Style. Personal Accidental Insurance. Health Insurance to Self, Spouse and two kids. 5 days working week.

As a Prompt Engineer , you will play a crucial role in designing and refining the conversational prompts that power our AI voice agents. You will work closely with AI researchers, product managers, and developers

Job role - Prompt engineer with Insurance Experience - 2 to 8 Years Location - Bangalore 2+ years relevant experience with prompt engineering preferably with OpenAI Proven expertise in prompt engineering strategies and their application to real-world problems, experience in Insurance usecases will be preferred Hands on experience in designing, developing and refining prompts, optimizing prompt performance, and improving the AI prompt generation process for various applications Hands-on experience in RAG-based solutions for data retrieval and conversational AI & chatbot development Experience with Voice AI platform e.g. ElevanLabs or similar with Voice Modulation experience to create conversational Voice Bots Experience with vector database PGVector and structured data sources Good exposure to Insurance Domain will be an added advantage

Job Title: Prompt Engineer Parloa Platform Location: Pune, India (Hybrid) Employment Type: Full-Time About Knowledgeforce IT Services India Pvt. Ltd. Knowledgeforce IT Services India Pvt. Ltd. is the India Development Center (IDC) of Kforce Inc., a leading staffing and solutions provider headquartered in the US. We deliver high-quality technology and business solutions for our global clients, leveraging innovation, talent, and cutting-edge tools to solve complex challenges. Role Overview We are standing up next-generation conversational AI experiences on Parloa while we gradually transition from Google Dialogflow (voice remains on Dialogflow through next spring). As a Senior Parloa Prompt Engineer, you will design, implement, and optimize prompts and flows that power AI-assisted customer experiences across voice and digital channels. Youll own prompt strategy, knowledge ingestion, API integration, and escalation logic on Parloa, while collaborating closely with our integration partner (Presidio) on the Cisco/Webex routing and custom API connectivity. This is a hands-on role for a senior practitioner who can ship quickly, document thoroughly, and help us migrate knowledge from Intercom into a Parloa-ingestible formatbalancing short-term delivery with a scalable architecture for the future. What Youll Do (Key Responsibilities) Prompt & Conversation Design Lead prompt strategy for Parloa: system prompts, few-shot examples, guardrails, and prompt chaining for multi-turn flows. Design voice and chat experiences with robust error recovery, safe fallbacks, and escalation logic to live agents. Establish evaluation frameworks (A/B tests, prompt drift detection, prompt performance dashboards). Parloa Build & Orchestration Build and optimize Parloa flows, intents, entities, and connectors/webhooks; tune NLU and policy behaviors for voice. Implement session and context management, disambiguation flows, and content moderation/guardrails. Define and enforce versioning, promotion paths (dev test prod), and release notes for conversational assets. Knowledge Base Migration & RAG Lead migration of knowledge from Intercom to a Parloa-ingestible structure (chunking, metadata, taxonomies). Stand up retrieval patterns (e.g., FAQ/RAG-style lookups where appropriate) with quality thresholds and citations. Partner with content owners to maintain a single source of truth and governance for knowledge updates. APIs, Integrations & Telephony Collaboration Design and implement RESTful/webhook integrations (auth, timeouts, retries, idempotency) used by Parloa flows. Collaborate with Presidio on Cisco/Webex routing design; build the custom integration logic Parloa requires (no native Cisco connector). Instrument telemetry, logging, and observability across Parloa and integration layers; define SLIs/SLOs for conversational services. Transition from Google Dialogflow Maintain/improve Dialogflow voice bots during the transition; ensure feature parity and a smooth phased cutover to Parloa. Map intents/entities/flows and port training data; validate ASR/TTS tuning, latency, barge-in, and call-handling behaviors. Quality, Compliance & Ops Establish automated testing for conversation paths, regression checks, and contract tests for APIs. Define analytics and reporting (containment, resolution, fallback rate, deflection, escalation, AHT, CSAT proxy). Adhere to privacy-by-design principles for PII/PCI/PHI as applicable; guide redaction, access, and retention patterns. Create runbooks, architectural docs, and handoff materials; mentor designers/engineers on Parloa best practices. What Youll Bring (Minimum Qualifications) 6+ years building production conversational AI (voice and/or chat) with 2+ years in prompt engineering or advanced LLM orchestration. Hands-on Parloa experience or strong, transferable experience on Google Dialogflow (CX/ES) with demonstrated ability to ramp quickly on Parloa. Deep expertise in prompt design (system/user/tool prompts), evaluation, guardrails, and LLM safety patterns. Proven track record integrating REST APIs (OAuth 2.0, JWT, secrets management), JSON schema design, and webhook patterns. Experience with voice fundamentals: ASR/TTS tuning, latency management, barge-in, error handling, call flows. Practical skills in Node.js or Python, Git, CI/CD, and structured release management. Strong analytics orientation: define KPIs, build dashboards, and use data to iterate conversational performance. Excellent documentation and cross-functional collaboration, including with external vendors/integrators. Nice to Have Prior Parloa production launches (voice + digital) and familiarity with its connectors, analytics, and deployment lifecycle. Cisco/Webex Contact Center (or similar CCaaS) exposure; understanding of SIP/telephony routing patterns. Experience working with Presidio or similar telephony/CCaaS systems integrators. Knowledge base engineering (taxonomy, chunking, relevance scoring) and Intercom Parloa migration experience. Cloud exposure (Azure/AWS/GCP) for secrets, logging, and serverless integration services. Familiarity with security frameworks and data handling in regulated environments. Tools & Stack Parloa , Google Dialogflow (CX/ES) (during transition) Intercom (source KB) Parloa-ingestible format Node.js/Python , REST APIs, OAuth/JWT, Git, CI/CD Observability/analytics (platform-native + custom dashboards)

Job Title: Manager Technology (Full Stack | Product Engineering Lead) Location: Gurgaon Experience: 8+ years Function: Technology / Product Development Type: Full-time About the Role We are looking for a hands-on Technology Manager to lead and scale our core product engineering efforts. This role is ideal for a technically strong individual who thrives in a fast-paced environment, can take architectural ownership, drive technical excellence, and manage a high-performing development team across backend, frontend, mobile, and DevOps. You will work closely with product, design, and data science teams to build scalable products and systems that power next-gen applications using cutting-edge technologies like Generative AI, Voice AI, YOLO, and NLP. Key Responsibilities Lead end-to-end product development in collaboration with cross-functional teams. Architect, build, and scale backend services, APIs, data pipelines, and frontend applications. Provide technical guidance and mentorship to a team of developers (frontend, backend, mobile, DevOps). Translate product vision into technical solutions and ensure timely delivery with high quality. Lead the data science team to integrate AI/ML components into the product. Drive adoption of DevOps best practices including CI/CD pipelines, observability, and infrastructure automation. Set code quality, documentation, and security standards across the engineering function. Own team performance, hiring, mentoring, and growth planning. Tech Stack Backend: Python (FastAPI, Flask, Django), Go (Gin), REST/GraphQL APIs, PostgreSQL, Redis, Git Frontend: React.js, CoreJS Mobile: Native Android (Kotlin, Java), iOS (Swift) AI/Data Science Integration: NLP, YOLO, Voice AI, Generative AI, LLMs, ML, Deep Learning DevOps & Infrastructure: Docker, Kubernetes, AWS, CI/CD pipelines Monitoring & Observability Tools (e.g., Prometheus, Grafana, ELK, etc.) What We're Looking For 8+ years of experience in software engineering, with at least 2 years in a leadership or managerial role . Proven experience as a full-stack engineer with strong backend expertise and system design skills. Experience in building and scaling complex applications across cloud-native environments. Strong understanding of software development lifecycle, agile methodologies, and product mindset. Exposure to AI/ML integrations is a strong plus. Excellent communication, problem-solving, and decision-making skills. Strong people management, mentoring, and conflict-resolution abilities. What You’ll Get Ownership of the entire product engineering life cycle. Opportunity to work at the intersection of deep tech and real-world business use cases . Freedom to make architecture and technology choices. Collaborative and fast-paced work environment with talented teammates.