1,141 Conversational AI jobs in India

IVA Application Learning Consultant

Location - Bangalore

Work Timings- 5 30 PM- 2 30 AM

Role Summary

In this role, you will leverage advanced technical and linguistic skills to become an expert in our AI Orchestration platform: IVA Studio. You will build upon a deep expertise in Conversational AI and Generative AI to help users and teams understand how to best use IVA Studio tools in their business, empowering them to succeed independently and collaboratively. Your work will span departments, enabling you to translate complex technical concepts into practical solutions that support customer and internal needs alike.

Key Responsibilities

• Lead training and enablement for IVA Studio, ensuring users understand and adopt the tool effectively for their immediate business needs and future goals.
• Collaborate with Sales and Product teams to align learning initiatives with departmental goals and customer needs.
• Build strategic partnerships with internal teams to co-create innovative learning solutions.
• Troubleshoot challenges with customers, partners and internal teams and provide guidance to optimize their IVA solutions and encourage self-sufficiency.
• Document processes, learning materials, and strategies with clarity and precision for all different levels.
• Experiment with latest product releases and emerging technologies to continuously improve personal expertise and future learning experiences.
• Develop and deploy solutions leveraging Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives for enterprise use cases.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM performance with domain-specific knowledge.
• Apply Model Customization & Prompting (MCP) techniques including fine-tuning, prompt engineering, and instruction tuning to optimize model outputs.
• Build and orchestrate Agentic AI systems, enabling autonomous agents to plan, reason, and act in complex environments.
• Design and manage Agent-to-Agent (A2A) communication protocols for collaborative multi-agent systems.
• Collaborate with cross-functional teams to integrate AI capabilities into products and services, ensuring scalability and reliability.
• Stay current with advancements in generative AI, agent frameworks (e.g., LangChain, AutoGen, CrewAI), and foundation model APIs.
• Evaluate and benchmark LLM performance using metrics such as factuality, coherence, latency, and cost-efficiency.
• Ensure ethical and responsible AI practices, including bias mitigation, explainability, and data privacy.

Required Skills & Capabilities

• Conversational AI Implementation : Proven success in deploying and supporting real-world IVA solutions.
• AI Fluency : Strong understanding of AI technologies with a proactive approach to experimentation and integration into IVA/IVR.
• Programming Familiarity : Comfortable with coding and scripting (especially JavaScript, Python, MQL) to support problem solving, optimization, and technical understanding in IVA Studio.
• Technical Translation : Skilled at translating complex technical language into clear, practical guidance for diverse audiences.
• Instructional Design & Enablement: Ability to create engaging, effective learning experiences tailored to user needs and business goals.
• Documentation: Ability to create clear, comprehensive, and scalable documentation.
• Cross-Functional Collaboration : Deep understanding of the goals, workflows and communication styles of Sales, Product, and Delivery.
• User Enablement Expertise : Experienced in consulting, troubleshooting, and guiding users through change with a focus on building confidence and independence.
• Strong understanding of transformer architectures and LLM internals.
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) for RAG implementations.
• Familiarity with agent frameworks and orchestration tools.
• Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI SDK).
• Prior experience in deploying AI solutions in production environments.

Recommended Soft Skills & Qualities

• Empowerment-Focused Training : Committed to helping people work independently, not just doing work for them.
• Patience & Support : Approaches learning and troubleshooting with understanding and calm persistence.
• Fearless Experimentation : Willing to try new approaches and technologies, embracing failure as part of growth.
• Optimistic Problem-Solving : Tackles challenges with a “why not?” attitude, followed by thoughtful research to find the best solution.
• Curiosity & Innovation : Constantly seeks better ways to teach, communicate, and connect IVA capabilities to real-world needs.

Please send in your resumes to , if interested in the above mentioned position

Thanks

Company Description

Yuna's mission is to radically transform the way mental health support is accessed and delivered. By providing 24/7 instant and private support at the push of a button, we aim to address the significant gaps in mental health care accessibility. In a system where waiting times for therapists can reach up to 48 days and many people can't even afford care, Yuna is the answer to immediate mental health support needs.

We’re growing quickly, and every person who joins us plays a pivotal role in shaping the future of mental health technology.

Position Overview

You’ll own Yuna’s core conversational intelligence (i.e. spanning retrieval, memory, safety, evaluation, and post-training). You’ll ship user-visible improvements quickly while raising the bar on empathy, reliability, and guardrails. This is a hands-on staff-level role: equal parts research-to-production and platform thinking.

What you’ll do

• Lead the end-to-end model lifecycle of Yuna’s conversational AI: problem framing → data curation → modeling/fine-tuning/post-training → evals → rollout → monitoring
• Work closely with clinical psychologists (both internal and external to Yuna), ensuring the efficacy of Yuna’s conversational AI
• Design agentic flows (tool use, planning, multi-turn memory) and safe retrieval for mental-health use cases
• Build and own the evaluation flywheel: benchmarks, judge models, rubrics for conversational quality, ability to help, safety
• Implement alignment & safety layers (e.g., self-harm detection, red-teaming, refusal strategies, escalation paths) tuned to clinical guidelines
• Optimize for latency, cost, and quality
• Partner tightly with product, sales, and users to scope new features and
• Establish LLMOps: datasets, prompts/checkpoints/versioning, observability, drift monitoring, and incident response for model quality

What you’ll bring

• 5+ years in ML/AI with 3+ shipping LLM/NLP systems in production
• Deep skill in Python and modern deep learning stacks (PyTorch/JAX/TensorFlow), retrieval/RAG, embeddings, reranking, and long-context summarization
• Experience building agentic systems (tool calling, decomposition, memory) and rigorous eval harnesses (offline + online)
• Strong product sense; you care about user outcomes, not just model metrics
• Comfort working with ambiguity and creating systems 0 to 1

Location: Remote (work from anywhere, with at least 4 hours overlap with PST)

Employment Type: Full Time

What We Offer

• Competitive salary (based on experience) + equity options
• Remote-first culture with flexibility
• A fast-growing, talented, and empathetic team dedicated to transforming mental health care
• The opportunity to make a real impact on the world, building cutting-edge AI systems that improve lives every day

Company Description

Yuna's mission is to radically transform the way mental health support is accessed and delivered. By providing 24/7 instant and private support at the push of a button, we aim to address the significant gaps in mental health care accessibility. In a system where waiting times for therapists can reach up to 48 days and many people can't even afford care, Yuna is the answer to immediate mental health support needs.

We’re growing quickly, and every person who joins us plays a pivotal role in shaping the future of mental health technology.

Position Overview

You’ll be the backbone behind Yuna’s conversational stack—owning services, data, and runtime that make our AI safe, fast, and reliable at scale. You’ll partner with the Staff ML Engineer to turn models into resilient, observable, HIPAA-aware product experiences.

What you’ll do

• Design, build, and operate services for conversation state, user memory, retrieval, and tool integrations (REST/gRPC).
• Work closely with clinical psychologists (both internal and external to Yuna), ensuring the efficacy of Yuna’s conversational AI
• Collaborate with front end teams for API creation, QA, and implementation
• Implement alignment & safety layers (e.g., self-harm detection, red-teaming, refusal strategies, escalation paths) tuned to clinical guidelines
• Optimize for latency, cost, and quality
• Partner tightly with product, sales, and users to scope new features and

What you’ll bring

• 5+ years building backend systems in production (Go/Python/NodeJS), with strong systems and API design skills
• Hands-on experience with AI agents, RAG pipelines, and LLMs
• Cloud infrastructure expertise (Google Cloud Platform)
• Proficiency with relational + vector/search systems and real-time communication (sockets, WebRTC)
• Nice to have: Swift (iOS client integration)
• Strong product sense; you care about user outcomes, not just model metrics
• Comfort working with ambiguity and creating systems 0 to 1

Location: Remote (work from anywhere, with at least 4 hours overlap with PST)

Employment Type: Full Time

What We Offer

• Competitive salary (based on experience) + equity options
• Remote-first culture with flexibility
• A fast-growing, talented, and empathetic team dedicated to transforming mental health care
• The opportunity to make a real-world impact, building cutting-edge AI systems and real-time communication platforms that improve lives every day

About the Role

We are seeking an NLU Engineer to design, develop, and optimize conversational AI systems. You will be responsible for intent recognition, entity extraction, and dialogue management to enhance AI-driven user interactions.

Responsibilities

● Develop and optimize NLU pipelines using frameworks like Rasa, spaCy, or Hugging Face Transformers.

● Implement and fine-tune text classification, named entity recognition (NER), and semantic parsing models.

● Train and deploy language models (LLMs) tailored for specific domains.

● Enhance multilingual NLU capabilities by integrating diverse language datasets.

● Preprocess and analyze large-scale textual datasets to improve model accuracy.

● Conduct A/B testing and model evaluation using metrics like F1-score, accuracy, and perplexity.

● Deploy NLU models into production environments using cloud-based AI services like AWS, Azure, or Google Cloud.

● Develop and maintain NLU training datasets and oversee continuous model retraining.

Requirements

● Proficiency in Python and experience with NLP libraries like spaCy, NLTK, Hugging Face, or Rasa.

● Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.

● Has knowledge of LLM frameworks such as langchain, langGraph, OpenAI realtime APIs

● Familiarity with transformer-based models (BERT, GPT, T5, etc.).

● Understanding of speech-to-text (STT) and text-to-speech (TTS) technologies.

● Experience with vector databases and retrieval-augmented generation (RAG).

● Strong problem-solving skills and ability to optimize NLU models for real-world applications.

Preferred Qualifications

● Experience in LLM fine-tuning and prompt engineering.

● Knowledge of knowledge graphs and ontologies for improved intent handling.

● Familiarity with cloud AI services and deployment best practices.

About Eltropy

Eltropy is a rocket ship FinTech on a mission to disrupt the way people access financial services. Eltropy enables financial institutions to digitally engage in a secure and compliant way. Using our world-class digital communications platform, community financial institutions can improve operations, engagement, and productivity. CFIs (Community Banks and Credit Unions) use Eltropy to communicate with consumers via Text, Video, Secure Chat, co-browsing, screen sharing, and chatbot technology, all integrated into a single platform bolstered by AI, skill-based routing, and other contact center capabilities.

Eltropy Values

• Customers are our North Star
• No Fear – Tell the Truth
• Team of Owners

Eltropy is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Role Summary

In this role, you will leverage advanced technical and linguistic skills to become an expert in our AI Orchestration platform: IVA Studio. You will build upon a deep expertise in Conversational AI and Generative AI to help users and teams understand how to best use IVA Studio tools in their business, empowering them to succeed independently and collaboratively. Your work will span departments, enabling you to translate complex technical concepts into practical solutions that support customer and internal needs alike.

Location - Bangalore

Work Timings- 5 30 PM- 2 30 AM

Key Responsibilities

• Enablement for IVA Studio, ensuring users understand and adopt the tool effectively for their immediate business needs and future goals.
• Collaborate with Sales and Product teams to align learning initiatives with departmental goals and customer needs.
• Build strategic partnerships with internal teams to co-create innovative learning solutions.
• Troubleshoot challenges with customers, partners and internal teams and provide guidance to optimize their IVA solutions and encourage self-sufficiency.
• Document processes, learning materials, and strategies with clarity and precision for all different levels.
• Experiment with latest product releases and emerging technologies to continuously improve personal expertise and future learning experiences.
• Develop and deploy solutions leveraging Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives for enterprise use cases.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM performance with domain-specific knowledge.
• Apply Model Customization & Prompting (MCP) techniques including fine-tuning, prompt engineering, and instruction tuning to optimize model outputs.
• Build and orchestrate Agentic AI systems, enabling autonomous agents to plan, reason, and act in complex environments.
• Design and manage Agent-to-Agent (A2A) communication protocols for collaborative multi-agent systems.
• Collaborate with cross-functional teams to integrate AI capabilities into products and services, ensuring scalability and reliability.
• Stay current with advancements in generative AI, agent frameworks (e.g., LangChain, AutoGen, CrewAI), and foundation model APIs.
• Evaluate and benchmark LLM performance using metrics such as factuality, coherence, latency, and cost-efficiency.
• Ensure ethical and responsible AI practices, including bias mitigation, explainability, and data privacy.

Required Skills & Capabilities

• Conversational AI Implementation : Proven success in deploying and supporting real-world IVA solutions.
• AI Fluency : Strong understanding of AI technologies with a proactive approach to experimentation and integration into IVA/IVR.
• Programming Familiarity : Comfortable with coding and scripting (especially JavaScript, Python, MQL) to support problem solving, optimization, and technical understanding in IVA Studio.
• Technical Translation : Skilled at translating complex technical language into clear, practical guidance for diverse audiences.
• Instructional Design & Enablement: Ability to create engaging, effective learning experiences tailored to user needs and business goals.
• Documentation: Ability to create clear, comprehensive, and scalable documentation.
• Cross-Functional Collaboration : Deep understanding of the goals, workflows and communication styles of Sales, Product, and Delivery.
• User Enablement Expertise : Experienced in consulting, troubleshooting, and guiding users through change with a focus on building confidence and independence.
• Strong understanding of transformer architectures and LLM internals.
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) for RAG implementations.
• Familiarity with agent frameworks and orchestration tools.
• Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI SDK).
• Prior experience in deploying AI solutions in production environments.

Recommended Soft Skills & Qualities

• Empowerment-Focused Training : Committed to helping people work independently, not just doing work for them.
• Patience & Support : Approaches learning and troubleshooting with understanding and calm persistence.
• Fearless Experimentation : Willing to try new approaches and technologies, embracing failure as part of growth.
• Optimistic Problem-Solving : Tackles challenges with a “why not?” attitude, followed by thoughtful research to find the best solution.
• Curiosity & Innovation : Constantly seeks better ways to teach, communicate, and connect IVA capabilities to real-world needs.

Please send in your resume to , if interested in the above mentioned role

Thanks