Engineer (AI/ML)- Helpbot/Chabpt

Build the Future of Conversational AI at IndiaMART

At IndiaMART, we're reimagining how millions of businesses interact with each other and WhatsApp is at the heart of this transformation. We are building AI-first chatbots that don't just answer queries they understand, reason, and help users act.

Were looking for a hands-on AI/ML Engineer whos excited to shape this future. You'll work at the intersection of AI agent frameworks, large language models, and high-impact real-world use cases turning cutting-edge research into real products used at scale.

Why Join Us

• Work on AI-first products used by millions of businesses
• Access to latest tools, models, and frameworks in the LLM ecosystem
• Solve real problems at scale with fast iterations and high ownership
• Join a team that blends research, product, and engineering
• Be part of a company with a strong tech backbone and market leadership

Job Responsibilities:

• Build intelligent WhatsApp chatbots capable of multi-turn conversations with IndiaMART buyers and sellers.
• Design multi-agent workflows using platforms like LangChain, LangGraph, n8n, CrewAI, or Semantic Kernel.
• Work on LLM-driven automations for real-world buyer-seller interactions from support to commerce.
• Partner with Product, Engineering, and Data teams to design, experiment, and scale solutions that truly help users.
• Continuously improve agent performance using analytics, user feedback, and funnel diagnostics.
• Benchmark and evaluate different LLMs (GPT, Claude, Gemini, open-source models) for cost and performance.

Skills Required:

Must-Have:

• Programming experience in Python, Node.js, or Go
• Familiarity with APIs, chatbot frameworks, or LLM APIs (OpenAI, Claude, Gemini, etc.)
• Understanding of conversational AI systems, language models, and prompt engineering
• Data-driven mindset with an eagerness to test, learn, and iterate

Good to Have:

• Experience with AI agent frameworks like LangChain, LangGraph, CrewAI, or AutoGPT
• Experience with WhatsApp Business API, Dialogflow, or messaging platforms
• Familiarity with vector databases, retrieval-augmented generation (RAG), or semantic search
• Experience with workflow automation tools like n8n, Microsoft Copilot Studio, or Voiceflow
• Exposure to BI tools and funnel analysis to improve user journeys

Eligibility Criteria:

• B.Tech in Computer Science, Information Technology, or a related field (mandatory)
• 1-3 years of experience in AI, machine learning, or chatbot development
• Exposure to AI agent architectures or building production-ready LLM applications
• Solid foundation in algorithms, data structures, and software design principles

Location: