6,170 Conversational AI jobs in India

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.

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.

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.

• As part of the core team of Customer Experience AI Practice, the GTM Specialist will be responsible for leading the business and non-functional requirements discovery and driving creation of the scope definition and overall subject matter expert coordination and resource estimation process. s
• Create compelling and relevant r solution proposal content, including capturing business strategy, KPI, desired outcomes, illustrating how the solution proposal addresses their needs.
• Be comfortable presenting to a variety of stakeholders (client - business, leadership, technical and AWS sales teams) and understand the personas for each, crafting messaging which is relevant to their roles and desired outcomes.
• Collaborate with the Global Sales team of AWS Practice to provide input on deal strategy, from a CXT solution perspective point of viewWork closely with the Customer Experience Practice Leader to define solutions and offer development / offering roadmaps which are topical and relevant for today s builder / buyer persona and which target horizontal and vertical specific use cases.
• Research current trends in the CX / AX, CCaaS industry and capture competitive and analyst perspective, for use in solution / offering development and solution content.
• Define day in the life and Art of the possible demo requirements, specifying the exact services and capabilities to be configured for demonstration to both business and technical audiences. Work closely with Product Engineering teams for build out and test of these solution demos
• Cross functional leadership / partnership and collaboration with other departments to drive important strategic initiatives of the practice
• Create sales enablement collaterals for the sales team and provides insights on competitive benchmarking
• Create ROI documentation to help sales team in customer conversations
• Maintain Contact Center professional, industry and AWS technical knowledge by attending educational workshops, reviewing professional publications and establishing personal networks

Business & Technical Qualifications - Must have

• 5+ years of experience as a contact center technology specialist working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, NICE, Five9, etc
• Has sales specialist level knowledge of IVR Platforms, Contact Centre business, related infrastructure and processes
• AWS Cloud Practitioner Certification preferred
• Business Analyst formal training is also preferred
• Understands CX solution architecture and integration from a sales specialist / GTM point of view
• Has a high degree of curiosity and continuous growth mindset
• Takes ownership of the success of the organization personally and holds themselves professionally accountable to their peer s needs in driving for that success
• Analytical and problem-solving skills. Good critical thinking.
• Strong communicator. Can clearly articulate business value of the technology, solution description and concepts for an audience
• Ability to work with minimal supervision in a dynamic and time-sensitive work environment
• Team management experience is a must
• Proven ability to articulate the distinct aspects of product offerings
• Strong knowledge and understanding of business needs
• Good understanding of the dynamics and critical success factors of the software industry in general and GSICloud based delivery paradigm in particular.
• Excellent listening, negotiation and presentation skills
• Excellent verbal and written communication skills