263 Chatbots jobs in India
Principal, Agentic AI/Chatbots IC
Posted 10 days ago
Job Viewed
Job Description
**Role Name:** Principal Machine Learning Engineer
**Department Name:** AI & Data Science
**Role GCF:** 6
**Hiring Manager Name:** Valentine Fontama
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
We are seeking a **Principal** **Machine Learning Engineer** -Amgen's most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions. Sitting at the intersection of engineering excellence and data-science enablement, you will develop, deploy and monitor models-classical ML, deep learning and LLMs-securely and cost-effectively. Acting as a "player-coach," you will establish AI solution strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI solutions.
Roles & Responsibilities:
+ **Own enterprise AI/ML architecture,** standards, APIs, and guardrails across cloud/on-prem.
+ **Build production ML/** **GenAI** **solutions** and lightweight apps delivering sub-second insights.
+ **Build** **end-to-end ML pipelines** -data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion-using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
+ **Build and** **maintain** **full-stack AI applications** by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
+ **Establish observability** , SLOs, and safe deploys (blue-green/canary, shadow, rollbacks) with incident runbooks.
+ **Lead rigorous evaluation** (offline/online, A/B), drift detection, and automated retraining.
+ **Architect LLM/RAG** with prompt management, safety guardrails, and optimized inference.
+ **Enforce data quality** , lineage, and model/data cards; apply privacy-preserving techniques where needed.
+ **Contribute reusable** **ML/** **GenAI** **components** -feature stores, model registries, experiment-tracking libraries-and evangelise best practices that raise engineering velocity across squads.
+ **Perform exploratory data analysis and feature ideation** on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
+ **Prototype and benchmark new algorithms** , offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.
+ **Translate domain needs** (R&D, Manufacturing, Commercial) into roadmaps; mentor teams and communicate trade-offs.
Must-Have Skills:
+ **5-7 years** in AI/ML and enterprise software.
+ Strong command of machine-learning algorithms **-** regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques-with the judgment to choose, tune and operationalize the right method for a given business problem.
+ Proven track record selecting and integrating AI SaaS/PaaS offerings **and** building custom ML services at scale.
+ Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
+ Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
+ Strong business-case skills-able to model TCO vs. NPV and present trade-offs to executives.
+ Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.
Good-to-Have Skills:
+ Experience in Biotechnology or pharma industry is a big plus
+ Published thought-leadership or conference talks on enterprise GenAI adoption.
+ Master's degree in Computer Science and or Data Science
+ Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.
Education and Professional Certifications
+ Master's degree with 12 -15 + years of experience in Computer Science, IT or related field
OR
+ Bachelor's degree with 14 -16+ years of experience in Computer Science, IT or related field
+ Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.
Soft Skills:
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Ability to learn quickly, be organized and detail oriented.
+ Strong presentation and public speaking skills.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Principal, Agentic AI/Chatbots IC
Posted today
Job Viewed
Job Description
Principal, Agentic AI/Chatbots IC
Role Name: Principal Machine Learning Engineer
Department Name: AI & Data Science
Role GCF: 6
Hiring Manager Name: Valentine Fontama
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
We are seeking a Principal Machine Learning Engineer—Amgen's most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions. Sitting at the intersection of engineering excellence and data-science enablement, you will develop, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a "player-coach," you will establish AI solution strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI solutions.
Roles & Responsibilities:
Own enterprise AI/ML architecture, standards, APIs, and guardrails across cloud/on-prem.
Build production ML/GenAI solutions and lightweight apps delivering sub-second insights.
Build end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
Establish observability, SLOs, and safe deploys (blue-green/canary, shadow, rollbacks) with incident runbooks.
Lead rigorous evaluation (offline/online, A/B), drift detection, and automated retraining.
Architect LLM/RAG with prompt management, safety guardrails, and optimized inference.
Enforce data quality, lineage, and model/data cards; apply privacy-preserving techniques where needed.
Contribute reusable ML/GenAIcomponents—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
Prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.
Translate domain needs (R&D, Manufacturing, Commercial) into roadmaps; mentor teams and communicate trade-offs.
Must-Have Skills:
5-7 years in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem.
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives.
Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.
Good-to-Have Skills:
Experience in Biotechnology or pharma industry is a big plus
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master's degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.
Education and Professional Certifications
- Master's degree with years of experience in Computer Science, IT or related field
OR
Bachelor's degree with years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.
Soft Skills:
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Senior Associate, Agents/Chatbots IC
Posted 10 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Senior Associate, Agents/Chatbots IC**
**What you will do**
Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from development to production
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps standards to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Basic Qualifications:**
+ Master's degree with 5+ years of experience in Computer Science, IT or related field
**Or**
+ Bachelor's degree with 5-9 years of experience in Computer Science, IT or related field
+ Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.
**Preferred Qualifications:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and social skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Conversational AI Engineer
Posted 1 day ago
Job Viewed
Job Description
Techtinium Technologies is building an intelligent system to optimize workflows, create production plans, and schedule manufacturing operations . Our vision is to enable manufacturing leaders to make faster, smarter decisions through an AI-driven conversational interface that allows users to:
- Interact via chat to execute commands.
- Add, Retrieve and Update operational data seamlessly.
- Derive actionable insights from real-time and historical data.
We are looking for a hands-on technical leader who can design, architect, and build this conversational AI system from the ground up.
Key Responsibilities
System Architecture & Development
- Design and develop a chat-based interface integrated with manufacturing data sources.
- Build natural language understanding (NLU) models to interpret user queries and translate them into workflow execution commands, database operations, or insight generation tasks .
Conversational AI & Orchestration
- Implement or integrate with LLMs (OpenAI, Anthropic, fine-tuned domain-specific models) for natural conversation.
- Develop a domain-specific ontology and prompt-engineering framework for manufacturing terminology.
- Design a command execution layer that translates chat intents into system actions.
Data & Insights
- Work with the data team to define data models for manufacturing workflows .
- Build insight generation modules (e.g., “What’s the bottleneck on Line 2?” or “Reschedule this order for earliest completion”).
- Ensure data security and role-based access control .
Collaboration & Leadership
- Work closely with Product Managers, Manufacturing SMEs, and Data Scientists to define system capabilities.
- Lead technical decision-making, mentor junior engineers, and ensure best practices.
Required Skills & Qualifications
- Strong programming skills in Python, Node.js, or Java .
- Experience with conversational AI frameworks (Rasa, LangChain, LlamaIndex, or custom LLM integrations).
- Proficiency in Database Design and Query Optimisation (PostgreSQL, MongoDB, or manufacturing ERP databases).
- Familiarity with Operations Research, Scheduling Algorithms, or Optimisation techniques .
- Experience with cloud-native architectures (AWS, Azure, or GCP).
- Excellent communication skills – ability to collaborate with both technical and non-technical stakeholders.
- Self-starter with entrepreneurial mindset ; comfortable in early-stage, fast-moving environments.
About Techtinium
Techtinium Technologies specializes in transforming innovative ideas into reality with cutting-edge technology solutions. We pride ourselves on building long-lasting partnerships with our clients by delivering custom software solutions tailored to their business needs. Our expertise spans AI, Data Science, Cloud Infrastructure, Mobile and Web Development. We thrive on challenges and have served over 50 global customers, helping them generate over $500M in revenue with our innovative solutions.
Conversational AI Developer
Posted today
Job Viewed
Job Description
Job Summary
We are seeking a skilled
Conversational AI Developer
to design, build, and optimize AI-powered conversational solutions such as chatbots, voice assistants, and virtual agents. The ideal candidate will have strong expertise in
Natural Language Processing (NLP), machine learning frameworks, and conversational design principles
to deliver seamless, human-like customer experiences.
Key Responsibilities
- Design, develop, and deploy conversational AI solutions across platforms (web, mobile, voice, messaging apps).
- Implement
NLP, NLU, and NLG models
for intent recognition, entity extraction, and context handling. - Work with platforms such as
Dialogflow, Rasa, IBM Watson Assistant, Microsoft Bot Framework, or Azure Cognitive Services
. - Collaborate with UX designers, product managers, and data scientists to ensure natural, user-friendly conversations.
- Continuously optimize models using
machine learning techniques and user interaction data
. - Integrate conversational agents with back-end systems, APIs, and databases.
- Conduct testing (functional, regression, and usability) to improve performance and reliability.
- Stay up to date with the latest AI/ML advancements, conversational design best practices, and industry trends.
Required Qualifications
- Bachelor's/Master's degree in
Computer Science, AI, Data Science, or related field
. - Hands-on experience with
conversational AI frameworks
(e.g., Dialogflow, Rasa, Botpress, Watson Assistant, Alexa Skills Kit). - Strong programming skills in
Python, JavaScript, or Java
. - Proficiency in
NLP libraries/frameworks
(e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch). - Knowledge of RESTful APIs, webhooks, and cloud platforms (AWS, Azure, GCP).
- Experience with
speech-to-text (STT) and text-to-speech (TTS)
technologies is a plus. - Strong problem-solving, debugging, and optimization skills.
Preferred Skills
- Experience with
multi-turn dialogue management and context retention
. - Understanding of
prompt engineering
and LLM-based assistants (e.g., GPT models). - Familiarity with
analytics tools
to measure chatbot performance (e.g., user engagement, intent accuracy). - Knowledge of
DevOps practices
for CI/CD in AI projects. - Prior exposure to
voice assistants, IVR systems, or customer service automation
.
Soft Skills
- Strong communication and collaboration skills.
- Ability to work in agile teams and manage multiple priorities.
- Analytical mindset with focus on
user experience and business outcomes
.
Conversational AI Engineer
Posted today
Job Viewed
Job Description
Conversational AI Engineer (
Kore experience as mandatory)
location: Hyderabad
Position Overview
The Conversational AI Engineer will play a key role in designing, developing, and maintaining intelligent call flows on the platform to automate and enhance the experience of callers into the Zelis contact center. This role will focus on translating business requirements into scalable conversational solutions, leveraging 's tools along with JavaScript customization to create natural, efficient, and accurate interactions. The engineer will collaborate closely with business analysts, product owners, and IT teams to integrate conversational bots with enterprise systems, ensuring high performance, security, and compliance across all solutions. This is a hands-on development role that blends conversational design, technical problem-solving, and enterprise integration to drive innovation in customer experience and operational efficiency.
Responsibilities
Design, configure, and implement call flows, virtual assistants, and voice bots within the platform.
Develop, test, and maintain custom logic using JavaScript for advanced call flow functionality and integrations.
Collaborate with business stakeholders to capture requirements and translate them into conversational design specifications.
Integrate solutions with enterprise systems (CRM, ticketing, knowledge bases, telephony platforms, etc.) to ensure seamless user experiences.
Conduct functional and regression testing of call flows to ensure quality, reliability, and accuracy of automated interactions.
Monitor bot performance, analyze data, and recommend improvements to optimize user experience and operational outcomes.
Ensure compliance with enterprise standards for data security, privacy, and system reliability.
Provide ongoing support, troubleshooting, and enhancements to conversational AI solutions.
Stay current with conversational AI trends, product updates, and enterprise automation best practices.
Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent work experience).
Conversational AI Engineer
Posted 1 day ago
Job Viewed
Job Description
Conversational AI Engineer ( Kore Experience As Mandatory)
Location :
Hyderabad.
Position Overview
The Conversational AI Engineer will play a key role in designing, developing, and maintaining intelligent call flows on the platform to automate and enhance the experience of callers into the Zelis contact center. This role will focus on translating business requirements into scalable conversational solutions, leveraging tools along with JavaScript customization to create natural, efficient, and accurate interactions.
The engineer will collaborate closely with business analysts, product owners, and IT teams to integrate conversational bots with enterprise systems, ensuring high performance, security, and compliance across all solutions. This is a hands-on development role that blends conversational design, technical problem-solving, and enterprise integration to drive innovation in customer experience and operational efficiency.
Responsibilities
- Design, configure, and implement call flows, virtual assistants, and voice bots within the platform.
- Develop, test, and maintain custom logic using JavaScript for advanced call flow functionality and integrations.
- Collaborate with business stakeholders to capture requirements and translate them into conversational design specifications.
- Integrate solutions with enterprise systems (CRM, ticketing, knowledge bases, telephony platforms, etc.) to ensure seamless user experiences.
- Conduct functional and regression testing of call flows to ensure quality, reliability, and accuracy of automated interactions.
- Monitor bot performance, analyze data, and recommend improvements to optimize user experience and operational outcomes.
- Ensure compliance with enterprise standards for data security, privacy, and system reliability.
- Provide ongoing support, troubleshooting, and enhancements to conversational AI solutions.
- Stay current with conversational AI trends, product updates, and enterprise automation best practices.
Required
- Bachelors degree in Computer Science, Engineering, Information Systems, or related field (or equivalent work experience).
)
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Conversational AI Engineer
Posted today
Job Viewed
Job Description
About Us
Rockstar is a US startup at the intersection of AI and Telecom, building the future of digital connectivity. We're not just reimagining telco - we're creating an entirely new category of AI-native mobile experiences.
About the Role
We're looking for a
Conversational AI Engineer
to design, build, and optimize next-gen intelligent chatbots that transform customer engagement. If you're passionate about AI/ML, natural language processing (NLP), and building human-like conversational experiences, this role is for you.
You'll lead the development of end-to-end chatbot solutions - designing workflows, integrating APIs, crafting prompts, and building tools that power seamless customer journeys across support, billing, and more.
This is a
rare opportunity to join a 0-1 journey with a seasoned team and top-tier advisors to shape the way millions interact with AI-powered systems in real time
.
What You'll Do
- Design Conversational Flows:
Build and optimize intelligent customer support experiences on the
Maven AGI
platform - Integrate APIs:
Connect chatbots with CRM, billing, ticketing, and enterprise systems - Engineer Prompts:
Write effective LLM-driven prompts to improve accuracy and engagement with workflow automation - Optimize Performance:
Continuously monitor KPIs (deflection rate, accuracy, CSAT) and refine flows
What We're Looking For
- 3+ years of experience in
conversational AI / chatbot development
(LLM-based preferred) - Strong background in
API development & integration
(REST, Webhooks) - Hands-on
NodeJS
experience for chatbot workflows - Familiarity with
prompt engineering
and working with LLMs (RAG pipelines, fine-tuning) - Experience with customer support platforms (Zendesk, Salesforce, Freshdesk)
- Problem-solving, debugging, and independent delivery mindset
Why Join Us?
- Be at the
forefront of Conversational AI
, shaping the next wave of intelligent customer engagement - Work in a
startup-style environment
with ownership and freedom to innovate - Work with
seasoned operators who have built unicorns
before - Collaborate with
AI-first teams
where ideas move fast and execution matters
Conversational AI Developer
Posted 1 day ago
Job Viewed
Job Description
We are looking for a skilled Conversational AI Developer (Senior) with 6-10 years of experience to join our team in Mumbai, Bangalore, Chennai, and Hyderabad.
Roles and Responsibility
- Design and develop conversational AI systems using D4L or CML.
- Collaborate with cross-functional teams to integrate Neo4j and other tools into the system.
- Develop and maintain large-scale data pipelines using JIRA, Maven, GitHub, Docker, and Jenkins.
- Implement NLP and Cognitive Services to enhance user experience.
- Troubleshoot and resolve technical issues related to conversational AI systems.
- Participate in code reviews and contribute to improving overall code quality.
Job Requirements
- Strong background in software development with experience in building scalable systems.
- Experience with Build tools like JIRA, Maven, GitHub, Docker, and Jenkins.
- Familiarity with Neo4j and other graph-based databases.
- Knowledge of NLP and Cognitive Services is essential.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Education: BE, BTech, ME, MTech, MCA (All Fulltime).
- Notice Period: 0-30 days.
Location - Bengaluru,Chennai,Hyderabad,Mumbai
Conversational AI Engineer
Posted today
Job Viewed
Job Description
About the Role
We're looking for a Voice Prompt Engineer
to help us design and optimize natural, high-performing prompts for our Voice AI SaaS product. You'll work with LLMs and cutting-edge voice platforms to shape human-like conversations that power real-world business use cases.
What You'll Do
- Design and refine prompts that enable smooth, natural voice interactions.
- Optimize prompts for real-time processing, latency, and interruption handling.
- Collaborate with engineers, product managers, and clients to understand workflows and build voice solutions.
- Analyze conversations and metrics to continuously improve voice agent performance.
- Experiment with new tools and methods to push the boundaries of voice AI.
What We're Looking For
- Experience with LLMs (GPT-4, Claude, Gemini) and at least one voice AI platform (e.g., Vapi, Retell, ElevenLabs).
- A passion for creating human-like voice conversations.
- Strong problem-solving skills and comfort with fast-paced, collaborative projects.
- Bonus: experience with telephony APIs, A/B testing, or multilingual prompts.
Why Join Us?
At KnackLabs, you'll:
- Be part of a
pioneering team
shaping the future of Voice AI in India. - Work across multiple industries and products.
- Grow with a company that values experimentation, rapid iteration, and continuous learning.
- Location:
Hyderabad, India